About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineer, Content Platform who can drive further innovation.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities.

Roku offers millions of options to our users: movies, shows, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineering Manager who can drive further innovation.

The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products. This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. This is a role for a hardened ML practitioner and a highly skilled organizational leader. You will be the architectural and operational bridge between deep AI research and fast-paced product delivery. If you know how to build a 3-year vision for content discovery and translate it into 2-week shipping cycles, this is your team.

What you’ll be doing

• Vision & Strategy: Define the roadmap for ML within the Content Platform..
• Technical Leadership: Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready.
• People Management: Lead and grow a high-performing team of ML Engineers. You will be responsible for career development, performance management, and maintaining a culture of rigorous experimentation.
• Cross-Functional Execution: Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals.
• Delivery: Champion a culture of incremental delivery. Balance long-term R&D with the need to deliver measurable improvements to the production environment.

We’re excited if you have

• 10+ years of total experience in software/ML engineering, with at least 5 years in a dedicated people management leadership role.
• MS or BS in Computer Science, Mathematics, or a related quantitative field.
• You possess a deep theoretical and practical understanding of Machine Learning. 
• You understand the business of streaming and how ML directly impacts the bottom line.
• You can explain complex model to a non-technical executive just as easily as you can debate architecture with a seasoned engineer.
• Proven track record of deploying large-scale ML models into production environments.
• Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools).

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Role Overview

We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.

What You'll Do

Financial Data Analytics & Modeling

• Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
• Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
• Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
• Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics

Business Intelligence & Reporting

• Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
• Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
• Develop self-service analytics capabilities enabling finance teams to access real-time business insights
• Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)

Data Engineering & Analytics Infrastructure

• Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
• Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
• Ensure data quality, consistency, and governance across financial reporting systems
• Optimize database performance and data architecture for scalability

Strategic Analysis & Insights

• Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
• Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
• Translate complex data findings into clear, actionable recommendations for leadership
• Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases

Required Qualifications

Technical Skills

• Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
• Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
• Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
• Preferred: Python or R for data analysis, automation, and statistical modeling
• Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)

Financial & Business Acumen

• Experience in data analytics within finance, FP&A, or revenue operations functions
• Strong understanding of financial statements (P&L, balance sheet, cash flow)
• Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
• Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
• Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)

Analytical & Problem-Solving

• Proven ability to work with large, complex datasets and derive meaningful insights
• Experience building financial models and dashboards that drive executive decision-making
• Strong statistical analysis skills and understanding of data visualization best practices
• Track record of translating ambiguous business problems into structured analytical frameworks

Preferred Experience

• Background in fintech, payments, B2B SaaS, or high-growth technology companies
• Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
• Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
• Exposure to data science methodologies and machine learning concepts
• Previous work in cross-functional environments collaborating with finance, data science, and business teams

Key Competencies

• Business Acumen: Ability to understand complex business models and translate them into data requirements
• Technical Excellence: Deep technical skills with commitment to code quality and best practices
• Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
• Stakeholder Management: Experience partnering with senior leaders and influencing through data
• Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
• Continuous Learning: Curiosity to learn new tools, techniques, and business domains
• Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting

Education

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
• Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus

What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.

HFT Quantitative Research and Trading

The Role

We are looking for exceptional HFT Quantitative Researchers and Traders to work at the intersection of research, engineering, low-latency execution, creating alpha and monetising our deep-learning alpha alpha across a broad spectrum of markets, products, and asset classes.

Key Responsibilities

• Monetise core alpha through efficient execution strategies across futures and related products.
• Expand trading universes - identify and onboard new instruments within existing markets and work closely with BD to identify new opportunities and exchanges. 
• Develop and refine execution logic - optimise market access, routing, and order placement to minimise slippage and latency impact.
• Collaborate closely with researchers, developers, and infrastructure engineers to bring models from research to production.
• Design and test short-term signals and execution algorithms to preserve alpha and reduce transaction costs.
• Monitor live strategies, diagnose performance drift, and implement continual improvements.
• Conduct PnL attribution and microstructure analysis to measure and enhance monetisation efficiency.
• Stay ahead of exchange microstructure changes and proactively adapt strategies to evolving market dynamics and market impact dynamics.

Ideal Candidate Profile

• 5+ years of experience in HFT or ultra-low-latency trading, ideally within futures markets (options experience is a strong plus).
• Proven track record in execution alpha monetisation - not just signal generation - you’ve taken models from idea to production.
• Deep understanding of L3 data, market microstructure, order book dynamics, and short-horizon predictive models.
• Hands-on experience in strategy deployment and productionisation, including calibration, risk controls, and post-trade analytics.
• Strong quantitative and programming skills - Python and C++ preferred; familiarity with distributed and low-latency systems advantageous.
• Knowledge of cross-exchange arbitrage, market making, or execution cost optimisation a plus.
• Highly analytical, commercial mindset with the ability to operate autonomously in a fast-paced, research-driven environment

Zeta is seeking an experienced Senior Data Scientist to join our Machine Learning team. You will design, build, and scale machine learning solutions that power marketing intelligence, campaign optimization, and business performance. 

This role spans the full ML lifecycle — from data engineering and feature development to model deployment and performance monitoring — in a cloud-based, distributed environment. 

Reporting / Hours: 1:00 PM – 10:00 PM IST (± 30 minutes flexibility)

Key Responsibilities 

Data Engineering & ETL 

• Lead the design and development of scalable ETL pipelines across platforms such as Snowflake/Hive, Athena 

• Partner with cross-functional teams to optimize data architecture and workflows 

Machine Learning & AI Development 

• Design, develop, evaluate, and deploy ML/AI models in production environments 

• Build scalable ML pipelines for training, validation, deployment, and scoring 

• Develop advanced predictive models and recommendation engines 

• Optimize model performance through experimentation, feature engineering, and ensemble techniques 

• Implement automation frameworks to improve productivity and reproducibility 

Cloud & Distributed Systems 

• Leverage AWS technologies including EC2, EMR, S3, Airflow, and Athena 

• Build and maintain robust workflows in distributed computing environments 

Analytics, Reporting & Marketing Automation 

• Generate client-facing modeling insights dashboards and performance reports with a strong focus on accuracy, consistency, and explainability 

• Support marketing automation initiatives using Python, Snowflake, Apache Superset, and related technologies 

Collaboration & Delivery 

• Work on multiple concurrent projects in a fast-paced, high-growth environment 

• Communicate complex findings clearly to both technical and non-technical stakeholders 

• Mentor junior team members and contribute to best practices across the data science function 

Required Skills:

• Strong expertise in supervised learning and advanced ML techniques (Random Forest, GBM, regression, neural networks, boosting and bagging methods, ensemble models) 

• Proven experience building and productionizing ML pipelines 

• Advanced Python proficiency and experience with ML libraries 

• Strong data preparation and feature engineering skills 

• Experience with Snowflake and distributed data systems 

• Working knowledge of Unix and shell scripting 

• Strong analytical thinking, attention to detail, and communication skills 

Qualifications: 

• MSc/MS in a quantitative field with 4+ years of experience 
  or 

• BSc with 7+ years of relevant experience 

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

About AQR Capital Management  

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most,and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies with more than 125 Bn$ of asset under management.AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

Technology is central to AQR’s success. As a Team Lead Software Engineer in Portfolio Implementation, you will combine deep hands-on technical contribution with responsibility for leading engineers, owning critical systems, and delivering on firmwide objectives. Reporting to an MD-level manager, you will set technical direction, drive execution, and ensure the team consistently delivers high-quality, reliable systems that support AQR’s investment process.

Your Role:

As a Team Lead Software Engineer in Portfolio Implementation, you will have end-to-end responsibility for both technical outcomes and team execution, including:

•Owning critical portfolio implementation systems and services, with accountability for reliability, performance, and long-term evolution
•Leading architectural design for high-performance, high-volume, highly available systems, making informed trade-offs across performance, flexibility, and maintainability
•Remaining hands-on in design and implementation, contributing meaningful production code and setting technical standards by example
•Leading and coordinating teams of engineers, potentially organized into multiple sub-teams, with responsibility for delivery across a group of engineers, including planning, prioritization, and execution across multiple workstreams
•Driving delivery of large, cross-team initiatives aligned with firmwide objectives and timelines
•Leading requirements gathering and specification, translating business and investment needs into clear technical plans
•Breaking down complex initiatives into well-scoped workstreams, with realistic sequencing and dependencies
•Driving estimation and delivery planning, balancing scope, risk, and available resources
•Ensuring alignment between resource forecasting and delivery commitments, adjusting plans as priorities evolve
•Ensuring strong engineering practices across the team, including code quality, design reviews, testing standards, and operational readiness
•Coaching and mentoring junior and mid-level engineers, ensuring they understand and apply best practices in software development
•Partnering closely with portfolio managers, researchers, and platform teams to align technical solutions with investment needs
•Reporting progress, risks, and delivery status clearly and proactively to MD-level leadership
•Identifying and addressing process gaps, technical debt, and operational risks across owned system

What You’ll Bring:

•Degree in Computer Science or a related technical field
•10+ years of professional software engineering experience, with deep expertise in Java
•Strong experience using Python in production or research-adjacent environments
•Proven track record of owning and operating complex, distributed systems in production
•Experience with microservice-based architectures using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server)
•Demonstrated ability to lead teams while remaining technically hands-on
•Strong understanding of engineering best practices, including code quality, testing strategies, CI/CD, design documentation, and operational excellence
•Experience operating, tuning, and profiling high-performance systems
•Experience with observability and monitoring platforms (e.g., New Relic) and using metrics to drive reliability and performance
•Strong experience in requirements capture, technical specification, and work breakdown for complex systems
•Proven ability to estimate effort, plan delivery, and manage trade-offs across scope, timeline, and resources
•Solid understanding of how resource planning, capacity, and delivery execution interrelate in a multi-team environment
•Interest in financial markets and the investment process; hands-on domain knowledge in this area is a strong plus but not required

Who You Are:

•A hands-on technical leader who takes ownership of systems, processes, and outcomes
•Comfortable driving delivery through others, setting clear direction and holding teams accountable
•Able to operate effectively with MD-level stakeholders, providing clear status, risks, and trade-offs
•Skilled at balancing short-term delivery with long-term system health
•Committed to developing engineers through mentoring, feedback, and example
•Collaborative, pragmatic, and decisive in complex environments
•Committed to intellectual integrity, transparency, and openness    

About AQR Capital India

AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to identify and isolate the factors that matter most, and by developing ideas that stand up to rigorous testing. By putting theory into practice, we have become a leader in alternative strategies and an innovator in traditional portfolio management since 1998.

At AQR India, our employees share a common spirit of academic excellence, intellectual honesty and an unwavering commitment to seeking the truth. We’re determined to know what makes financial markets tick – and we’ll ask every question and challenge every assumption. We recognize and respect the power of collaboration, and believe transparency and openness to new ideas leads to innovation.

Technology is central to AQR’s success. As a Software Engineer in Portfolio Implementation, you will work on mission-critical systems that turn investment ideas into reality. Partnering closely with researchers and portfolio managers, you will design and build proprietary tools that support quantitative strategy research and systematic investing at scale.

Your Role:

As a Software Engineer in Portfolio Implementation, you will design, build, and extend systems that sit at the core of AQR’s investment process, including:

Portfolio Implementation platforms that consume research outputs, perform constrained optimizations, and generate orders
Cloud-based microservices engineered to run reliably and efficiently at scale
Participate in architectural design discussions for high-performance, high-volume, highly available systems, gaining experience with trade-offs across performance, flexibility, and maintainability
Bespoke technology solutions tailored to specific asset classes and evolving research needs
Collaboration with a global team of researchers, portfolio managers and engineers for successful product delivery

What You’ll Bring

Degree in Computer Science or a related technical field
3+ years of professional programming experience with strong proficiency in Java
Python experience is a strong plus, particularly for research integration and tooling
Strong software design skills and the ability to translate design concepts into high-quality, maintainable code
Excellent analytical thinking and problem-solving abilities
Clear and effective communication skills
Interest in financial markets and the investment process
Experience operating microservice-based architectures and building scalable, distributed systems, using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server)
Strong engineering best practices, including attention to code quality, peer code reviews (PRs), automated testing, and test coverage
Experience operating, tuning, and profiling high-performance systems in production environments
Experience with observability and monitoring platforms (e.g., New Relic) is a strong plus

Who You Are:

Take strong ownership of your work, with the drive to see initiatives through from idea to completion
Comfortable leading change, overcoming obstacles, and navigating ambiguity to deliver results
Naturally collaborative, thoughtful, and effective in a team-oriented environment
Hard-working, curious, and eager to learn in a fast-paced setting
Committed to intellectual integrity, transparency, and openness

About AQR Capital Management  

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. 

AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. 

The Team: 

AQR is building a new Data Engineering team within the Enterprise Engineering organization to focus on solving problems working with big data. This team will work directly with researchers and others across the firm to build and manage the software that loads, validates, and provisions many large data sets used in the research and investment processes. 

Your Role: 

As a data engineering developer, you will participate in designing and building a new enterprise data platform used by quantitative researchers to manage large volumes of market, reference, and alternative data, both structured and unstructured. You will also build critical tools that will be used across the firm to validate data, back-test, and find valuable investment insights. You will be collaborating directly with Researchers and Portfolio Managers to define and implement detailed business requirements for new and existing projects. This critical team will use big data technologies and cloud-based platforms to build an extensible and scalable solution to the data needs of one of the largest quantitative investment firms in the world. 

What You’ll Bring: 

• 6+ Years of relevant work experience 
• Bachelors/Masters/PhD in Computer Science, Engineering, or related discipline 
• Outstanding coding, debugging, and analytical skills; Python required, other languages are a plus 
• Ability to work directly with business stakeholders to spec out and implement solutions 
• Experience working in a distributed data environment and working with large data sets 
• Knowledge of big data frameworks such as Spark and Hadoop 
• An interest in quantitative finance (no finance / trading experience required) 
• Familiarity with one of the large cloud providers is required; AWS experience is a plus 
• Familiarity with AI models and/or frameworks is a plus 

Who You Are: 

• Mature, thoughtful, and a natural fit for our collaborative culture 
• Hard-working and eager to learn in a fast-paced, innovative environment 
• Committed to intellectual integrity, transparency, and openness 
• Motivated by the groundbreaking effects of technology-at-scale 

We believe that the next innovation to transform our business could come from anyone at AQR. Expect to be recognized not only for your diligence and hard work today, but for your vision for tomorrow. We are mathematicians, computer scientists, engineers and artists, passionate about advancing financial research and pushing the limits of today’s technology. 

About AQR Capital Management  

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. 

AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. 

The Team: 

AQR is building a new Data Engineering team within the Enterprise Engineering organization to focus on solving problems working with big data. This team will work directly with researchers and others across the firm to build and manage the software that loads, validates, and provisions many large data sets used in the research and investment processes. 

Your Role: 

As a data engineering developer, you will participate in designing and building a new enterprise data platform used by quantitative researchers to manage large volumes of market, reference, and alternative data, both structured and unstructured. You will also build critical tools that will be used across the firm to validate data, back-test, and find valuable investment insights. You will be collaborating directly with Researchers and Portfolio Managers to define and implement detailed business requirements for new and existing projects. This critical team will use big data technologies and cloud-based platforms to build an extensible and scalable solution to the data needs of one of the largest quantitative investment firms in the world. 

What You’ll Bring: 

• 3+ Years of relevant work experience 

• Bachelors/Masters/PhD in Computer Science, Engineering, or related discipline 

• Outstanding coding, debugging, and analytical skills; Python required, other languages are a plus 

• Ability to work directly with business stakeholders to spec out and implement solutions 

• Experience working in a distributed data environment and working with large data sets 

• Knowledge of big data frameworks such as Spark and Hadoop 

• An interest in quantitative finance (no finance / trading experience required) 

• Familiarity with one of the large cloud providers is required; AWS experience is a plus 

• Familiarity with AI models and/or frameworks is a plus 

Who You Are: 

• Mature, thoughtful, and a natural fit for our collaborative culture 

• Hard-working and eager to learn in a fast-paced, innovative environment 

• Committed to intellectual integrity, transparency, and openness 

• Motivated by the groundbreaking effects of technology-at-scale 

We believe that the next innovation to transform our business could come from anyone at AQR. Expect to be recognized not only for your diligence and hard work today, but for your vision for tomorrow. We are mathematicians, computer scientists, engineers and artists, passionate about advancing financial research and pushing the limits of today’s technology. 

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998.

AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations, and sovereign wealth funds, as well as financial advisors.

The Team
Technology has long been essential ingredient to our success, and as an associate in quantitative research development team, you will be knee-deep in mission critical challenges that make our investment ideas a reality. Collaborating side by side with researchers and portfolio analysts, you will be responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and systematic investing that powers AQR.

Your Role:

•As an associate in quantitative research development team, you will build or extend our

•Global asset signal, data and risk estimation infrastructure incorporating millions of data points.

•Intuitive research APIs leveraging cloud computing and cutting-edge visualizations.

•High-performance historical simulation/back testing engine for vetting new alpha strategies.

•Bespoke technology solutions that satisfy the needs of specific asset classes and research needs

•Partner with not only local but also global team of research engineers for successful product delivery

What You’ll Bring:

•BS/MS/PhD in Computer Science, Computational Finance, Data Science, or related discipline
•At least 5+ years of experience as a quantitative developer, preferably in the financial services industry.
•Outstanding communication, coding, debugging, and analytical skills.
•Strength in pragmatic design and deploying applications using Linux/Docker/Python.
•An interest in quantitative finance (no finance / trading experience required).

About AQR Capital Management

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998.
AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations, single family offices and sovereign wealth funds, as well as financial advisors.

About the Team

The Specialized Investments Group focuses on situations where laws and regulations have meaningful effects on trading decisions, portfolio design and the choice of investment vehicles. The team oversees the design, implementation and day-to-day portfolio management of tax aware funds and accounts.
The product specialist function is responsible for commercializing the innovations of AQR’s research team, as well as for developing the High Net Worth and Family Office distribution channels. AQR’s tax aware product portfolio consists of a growing number of tax efficient alternative and traditional investment strategies and of bespoke client solutions that utilize these strategies.
Product specialists play a key role in AQR’s portfolio management, product development, and enhancement and are involved in many stages of the investment process including new business presentations, new account onboarding, portfolio implementation, performance monitoring and analysis, and portfolio review meetings with clients. Product specialists interact closely with the rest of the firm including research, portfolio management, trading, business development, legal, compliance, risk and marketing. Through this collaboration, product specialists have in-depth knowledge of the strategies they cover and are expected to be in-house experts on their respective products. They are an integral part of initiatives to create, manage, and sell AQR products.

Your Role

AQR Capital seeks to recruit a junior level product specialist to focus on the firm’s Tax Aware product line and Tax Aware solutions. In this role the junior member of the team will partner with senior specialists on producing and sharing customized materials and analytics for internal stakeholders and external clients based on a deep understanding of AQR’s Tax Aware product offerings and capabilities. This professional will work in close collaboration with AQR’s research, portfolio management and business development teams to ensure proper representation of AQR’s Tax Aware products and a high level of client service to investors. AQR teams operate with the highest degree of mutual respect and collaboration. This position is a highly valued position within the firm and of critical importance to AQR’s ongoing growth and success.

Responsibilities include:

1. Using existing infrastructure (backtesters, reporting infrastructure, etc.) to support the team’s partnership with business development and clients on providing solutions to client-specific situations
   o Generate summary data for pitch books used by business development in client meetings and conferences
   o Design solutions for specific private wealth clients, including transition from appreciated portfolios, diversification of concentrated risks, optimal asset allocation given client-specific investment goals
   o Produce custom portfolio analysis to support both internal and external requests
2. Maintain and improve on existing infrastructure, often in collaboration with other teams, to maximize efficiency and accuracy of data delivery and to increase data gathering and storage functionality
   o Use knowledge of the underlying strategies to anticipate code maintenance that may be required as strategies evolve over time (new asset classes, new sub-strategies, etc)
   o Identifying weaknesses in existing processes and trends in demands to propose and then implement improvements to existing code or processes used for data management and delivery

What You’ll Bring

• Excellent academic credentials in a quantitative or technical discipline
• At least 2 years of relevant post-undergraduate experience at an investment management, asset management, or consulting firm
• Understanding and application of investment concepts including portfolio theory
• Demonstrated experience working with intricate data sets to distill, analyze, and present information based on audience and business objectives
• A client-first mentality with a high attention to detail and strong sense of ownership
• Ability to apply practical intuition and common sense in conducting complex data analysis
• Strong technical aptitude with proficiency in Excel and PowerPoint, programming skills in Python, and knowledge of SQL, knowledge of XML is a plus
• Ability to communicate with maturity, credibility, and clarity both verbally and in writing
• Demonstrated work ethic, competitiveness and tenacity required to achieve top performance

Who You Are

• Well-organized, detail-oriented; able to multi-task and keep track of various deadlines in a fast-paced, high demand environment
• Confidence to work independently, and engage directly with our US-based business to refine requirements and escalate issues when needed
• Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Highest level of integrity, empathy and character
• Creative, resourceful, and driven - an intelligent risk taker and someone who does not grow complacent with success
• Hard-working and eager to learn in a highly intellectual, innovative environment

About AQR Capital Management 

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998.

AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

About the Team:

The RFP team serves a core function within our Reporting team, supporting sales, client service, and ongoing due diligence efforts.  The primary responsibility of the role is to partner with the Business Development team and coordinate with subject matter experts across the organization, including Research Teams, to respond to RFP and DDQ requests for prospective and existing clients.  In addition, the individual will be expected to contribute to the RFP Team’s ongoing efforts redesigning processes to increase efficiency and improve outcomes.  A successful candidate operates well independently as well as in a team environment and is a proactive and creative problem solver.

Your Role:

We are seeking an exceptionally talented individual to join the RFP Function within our Reporting team.

You will:

• Proactively address RFP and DDQ requests and complete all corresponding documentation leveraging the Team’s RFP Management Tool Responsive
• Partner with subject matter experts across the firm to ensure accuracy of RFP / DDQ content and responses.
• Track and manage all active RFPs and DDQs, escalating to senior management if deadlines are in jeopardy of being missed
• Coordinate with stakeholders across the firm to maintain high-quality content for RFPs DDQs in the Team’s content library on Responsive
• Maintain a commitment to quality, accuracy, and attention to detail in a timely manner
• Utilize AI tools to drive strategic changes to existing processes

What You’ll Bring:

• A relevant undergraduate degree including but not limited to Marketing, Business, Finance, Economics, English or Communications
• 3+ years of relevant post-undergraduate experience within a professional services environment; asset management and operations backgrounds are preferred
• Ability to work independently as well as within a team
• Strong written and verbal communications skills
• Well-organized with the ability to multi-task and work within tight timeframes
• Works proactively, taking initiative to identify and solve problems
• Proficient in Microsoft Office Suite
• Experience with Responsive is preferred
• Experience with Artificial Intelligence is a plus

About AQR Capital Management 

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998.

AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

The Team 
The Distribution Analytics team in the Finance organization is responsible for supplying data-driven insights that support the firm’s global distribution efforts. You will work closely with the Business Development team, the Distribution Analytics function, and the Data Engineering team to deliver high-impact analytics, build dashboards and ensure the integrity of our CRM/distribution data. 

Your Role 
In this position you will: 

• Develop, deliver and maintain ad-hoc and periodic tactical and strategic analytics/reports to support Business Development and distribution channels. 

• Use SQL (and other query tools) to extract, manipulate and analyze data. 

• Collaborate with the CRM system to produce reports and monitor data quality (e.g., completeness, consistency, accuracy of sales/distribution records). 

• Work with Data Engineering to recommend and implement improvements to data pipelines, ETL processes and dashboards. 

• Create front-end visualizations and dashboards using tools such as Power BI or MicroStrategy, translating business needs into clear visual insights. 

• Translate analytical findings into actionable business recommendations and communicate results 

• Operate in a fast-paced global environment, helping to ensure our distribution data is fit for purpose and supports the sales organization effectively. 

What You’ll Bring 
Required:

• Bachelor’s degree (or equivalent) in a quantitative discipline—e.g., Computer Science, Engineering, Mathematics, Statistics, Economics. 

• Strong proficiency in SQL: ability to extract, analyze and transform data. 

• Demonstrated ability to take raw data, find patterns/trends, and produce meaningful reports. 

• Self-motivated, detail-oriented, able to prioritize multiple tasks and meet deadlines in a dynamic environment. 

Preferred: 

• Experience working with Salesforce (or equivalent CRM) reporting and/or data model. 

• Experience building dashboards and visualizations using Power BI, MicroStrategy or comparable BI tools. 

• Experience in data quality / data governance / data stewardship frameworks. 

• Prior exposure to distribution analytics, sales data, or financial services/asset management context. 

Who You Are 

• You are a thoughtful, collaborative individual who thrives in a high-intellect, fast-moving environment. 

• You commit to integrity, clarity and openness in your work. 

• You are motivated by turning data into actionable insights. 

• You believe that strong analytics and clean data are crucial to business success. 

• You are eager to learn, adapt and grow, recognizing that innovation may come from anyone at AQR 

About AQR Capital Management 

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998.

AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

The Team

The Compliance group is responsible for designing, implementing, monitoring, and testing AQR’s control environment. It is responsible for ensuring the firm is acting as a responsible fiduciary to our clients. It creates sets of policies and procedures that define how AQR operates its business. It is also mandated with ensuring AQR complies with all relevant regulatory and industry rules and regulations.

Your Role:

• Assist with the administration of the Firm’s Business Conduct Manual and Code of Ethics.
• Respond to employee requests regarding personal trading, gifts and entertainment, political and charitable contributions, and other topics.
• Responsible for reviews of broker statements and coordinating with firm-approved brokers regarding electronic feeds and other topics.
• New hire onboarding (including orientation, launching of certifications and training completion control).
• Assist with the maintenance, tracking and organization of Compliance Department records.
• Review employee Compliance certifications and disclosures.
• Assist with other tasks and responsibilities as required.

What You’ll Bring:

• Bachelor’s degree required.
• Two to four years of related experience in administration of Code of Ethics or related Compliance experience, ideally within financial services or investment management.
• Exceptional writing, editing, and project management skills, with strong attention to detail.
• Highly organized, with excellent time management abilities and the ability to prioritize and meet multiple deadlines while managing a high volume of communications.
• Demonstrated capacity to work independently as well as thrive within a collaborative, fast-paced team environment.
• Strong interpersonal and communication skills with the ability to work well with others across functions.
• A self-starter who takes ownership of responsibilities and sees tasks through to completion.
• Receptive to feedback and responsive to direction, with a commitment to continuous improvement.
• Prior experience with StarCompliance preferred but not required.

About AQR Capital Management 

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998.

AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

Your Role

• Conduct comprehensive and timely reviews of various materials, including but not limited to marketing and other client-facing material, client reports, research papers, webisodes, and social media content.
• Assess materials across multiple asset classes and investment strategies for compliance with applicable global regulations (e.g., SEC Rule 206(4)-1, FINRA Rule 2210, ESMA, FCA and non-US regulatory regimes) and internal firm policies.
• Apply expertise in the review of complex presentations, including hypothetical and back-tested performance, reviewing for regulatory compliance.
• Provide proactive, clear, and solution-oriented guidance to business development and investment professionals regarding compliant advertising and performance reporting practices.
• Interpret and communicate about relevant regulatory rules and developments, translating them into actionable compliance and business guidance.
• Maintain relevant industry and regulatory knowledge, including monitoring and providing feedback on relevant rulemaking initiatives, risk alerts and other regulatory matters.
• Assist with the implementation of new policies and procedures as well as with updating existing policies and procedures.
• Provide training and informational tools to relevant staff on compliance policies and procedures and regulatory requirements.

What You’ll Bring

• Bachelor's degree
• 3-5 years minimum experience reviewing marketing material, preferably with an investment adviser or broker-dealer
• Strong understanding of the regulatory obligations under rule 206(4)-1 of the Investment Advisers Act, the SEC Marketing Rule, FINRA Rule 2210, ESMA, FCA and non-US regulatory regimes and any other applicable rules, regulations, and interpretive guidance
• Well organized, strong communication skills, detail-oriented and responsive
• Ability to provide accurate, direct and practical advice in a timely fashion
• Proactive time management skills and the ability to manage projects independently
• Hard working, team oriented, able to handle tight deadlines and eager to learn in a highly intellectual, collaborative environment

Who You Are

• Intelligent, energetic and goal-oriented with the ability to juggle multiple tasks, meet deadlines and exercise sound judgment
• Excellent oral and written communication skills; must be able to confidently collaborate with various departments within the firm
• A self-starter with the ability to follow through and complete tasks in a highly intellectual, collaborative environment

About AQR Capital Management

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998.

AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

Technology is central to AQR’s success. As a Software Engineer in Portfolio Implementation, you will work on mission-critical systems that turn investment ideas into reality. Partnering closely with researchers and portfolio managers, you will design and build proprietary tools that support quantitative strategy research and systematic investing at scale. 

Your Role :

As a Software Engineer in Portfolio Implementation, you will design, build, and extend systems that sit at the core of AQR’s investment process, including: 

• Portfolio Implementation platforms that consume research outputs, perform constrained optimizations, and generate orders 

• Cloud-based microservices engineered to run reliably and efficiently at scale 

• Participate in architectural design discussions for high-performance, high-volume, highly available systems, gaining experience with trade-offs across performance, flexibility, and maintainability 

• Bespoke technology solutions tailored to specific asset classes and evolving research needs 

• Collaboration with a global team of researchers, portfolio managers and engineers for successful product delivery 

What You’ll Bring :

• Degree in Computer Science or a related technical field 

• 2+ years of professional programming experience with strong proficiency in Java 

• Python experience is a strong plus, particularly for research integration and tooling 

• Strong software design skills and the ability to translate design concepts into high-quality, maintainable code 

• Excellent analytical thinking and problem-solving abilities 

• Clear and effective communication skills 

• Interest in financial markets and the investment process 

• Experience operating microservice-based architectures and building scalable, distributed systems, using technologies such as Java, Elasticsearch, Redis, RabbitMQ / AMQ, and relational databases (e.g., PostgreSQL, MS SQL Server) 

• Strong engineering best practices, including attention to code quality, peer code reviews (PRs), automated testing, and test coverage 

• Experience operating, tuning, and profiling high-performance systems in production environments 

• Experience with observability and monitoring platforms (e.g., New Relic) is a strong plus 

Who You Are :

• Take strong ownership of your work, with the drive to see initiatives through from idea to completion 

• Comfortable leading change, overcoming obstacles, and navigating ambiguity to deliver results 

• Naturally collaborative, thoughtful, and effective in a team-oriented environment 

• Hard-working, curious, and eager to learn in a fast-paced setting 

• Committed to intellectual integrity, transparency, and openness 

About AQR Capital Management:

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998.

AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors.

Job description:

The Team and Your Role

In this role you will be a part of the Client Technology Engineering supporting AQR Client Administration, Onboarding and Business Development teams. You will be responsible for design, development and support of automation solutions – design and implement APIs, aggregate data from various sources, implement business logic, automate the formatting and rendering of presentations and reports. The candidate is expected to be able to work directly with the business users as well as to collaborate with other engineering teams.

What You Will Bring:

• BA/BS/MS degree in Computer Science or equivalent field
• 3+ years of software development experience in C# with substantial individual contribution
• Strong analytical and troubleshooting skills
• Strong working knowledge of SQL
• Experience working with

1. Angular
2. Net Core
3. AWS
4. Microservice architecture
5. RESTful application design

• Strong communication skills
• Team player
• Experience working with CRM systems is a plus
• Experience working with reporting automation systems is a plus
• Experience working in financial industry is a plus

Key Responsibilities

Campaign Planning & Onboarding

• Own the end-to-end campaign setup process — from brief intake and media planning to creative specifications, trafficking, and go-live
• Translate advertiser KPIs (ROAS, CPL, CTR, incremental lift) into campaign structures suited for Razorpay's Transaction Ads inventory and Audience Intelligence activations on Meta and Google
• Coordinate with sales and advertiser teams to define targeting parameters, audience segments, budget pacing, and flight schedules
• Ensure all campaigns are launched accurately and on time, with proper tracking and attribution in place

Campaign Execution & Optimization

• Monitor live campaigns daily across Razorpay Media Network (in-transaction and post-transaction placements) and offsite channels (Meta, Google)
• Proactively identify underperforming campaigns and implement optimizations across bids, creatives, audience segments, and pacing
• Manage budget allocation across campaigns to maximize delivery and performance against KPIs
• Work with the publisher operations team to troubleshoot delivery issues and ensure inventory health on 3P publisher platforms

Client Reporting & Insights

• Build and deliver regular performance reports (weekly, mid-flight, end-of-campaign) with clear insights and recommendations
• Present campaign results to advertiser POCs and agency teams, demonstrating ROI and identifying opportunities for upsell or renewed investment
• Develop standardized reporting templates and dashboards that scale across the campaign portfolio

Audience Intelligence Campaign Management

• Set up and manage transaction graph-based audience segments for activation on Meta and Google
• Coordinate with the data and product teams on segment availability, refresh cycles, and match rate optimization
• Support advertiser teams in interpreting audience performance data and refining segment strategies across campaign cycles

Cross-functional Collaboration

• Partner with enterprise sales during the pre-sales phase to validate campaign feasibility, scope delivery timelines, and set realistic performance expectations
• Work closely with product on feature gaps, delivery bugs, and tooling improvements that impact campaign operations
• Coordinate with creative and agency partners to ensure ad assets meet platform specifications and quality standards
• Feed structured performance insights back to the sales team for renewals, upsells, and new business pitches

Process & Operations

• Maintain accurate campaign trackers, status dashboards, and pacing reports across the entire active portfolio
• Document SOPs for campaign onboarding, optimization workflows, and reporting cadences
• Flag risks proactively — budget overruns, delivery shortfalls, creative fatigue — and drive resolution before they impact client outcomes

Required Skills and Qualifications

• Bachelor's degree in any discipline; quantitative or business backgrounds preferred
• 3–6 years of experience in campaign management, ad operations, or performance marketing — ideally at a DSP, ad network, publisher, or performance marketing agency
• Hands-on experience managing campaigns on Meta Ads Manager and Google Ads (DV360 or Programmatic is a plus)
• Strong analytical ability — comfortable working with campaign data in Excel/Sheets, pulling insights, and identifying optimization levers without hand-holding
• Experience with audience-based targeting strategies (custom audiences, lookalikes, contextual, behavioral segments)
• Familiarity with tracking and measurement frameworks — pixel setup, conversion events, UTM parameters, and attribution models
• Excellent client-facing communication skills; able to present performance data clearly to marketing and agency stakeholders
• High ownership mentality — able to manage 10-15 campaigns simultaneously while maintaining quality and SLA commitments
• Prior exposure to retail media, commerce media, or fintech advertising is a strong plus
• BFSI advertiser experience (banks, credit cards, insurance, fintech) is an advantage

About the Company: 

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. 

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

Why Join Sigmoid? 

Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo. Vibrant inclusive culture of mutual respect and fun through both work and play. 

About the Role: 

Sigmoid is looking to onboard a Senior Leader for our FS Consulting Practice who can bridge the gap between high-level strategy and granular operational reality. A true expert in the Financial services space must understand the interconnectedness of Financial Products & Market Dynamics. In this role, you will drive strategic initiatives, foster innovation, and provide visionary direction to our BFSI practice. 

The role requires a strong portfolio leader responsible for managing 3–6 key accounts across a mix of new business development (hunting) and account growth (farming). The individual will typically oversee a team of approximately 15–70 members while managing an annual revenue portfolio in the range of $15M–$60M. The role involves hands-on involvement in sales, client relationship management, and delivery oversight. 

Roles and Responsibilities: 

• An FS expert must understand how the "engine" of different sub-sectors works.
• Banking: Retail (mortgages, cards), Commercial (trade finance, treasury), and Investment Banking (M&A, capital markets).
• Insurance: Life and Annuities vs. P&C (Property & Casualty), including underwriting cycles, reinsurance, and claims transformation.
• Wealth & Asset Management: Fee structures, fiduciary duties, and the shift toward "hyper-personalization" in portfolio management.
• Payments Ecosystem: Knowledge of real-time payments, ISO 20022 standards, and the impact of CBDCs (Central Bank Digital Currencies). 

• The ability to challenge a CEO or Board of Directors while maintaining trust. They must speak the language of the CFO (numbers), the CTO (tech), and the CRO (risk).
• The leader must be aware of latest technologies used by the Financial Institutions, Data Science and Data Engineering team 
• A leader must drive cultural transformation and "buy-in" across silos, the ability to build partnerships between traditional banks and nimble Fintech/Insurtech startups.
• Collaborate with sales, marketing, and business development teams to develop go-to-market strategies, identify key clients, and drive new business opportunities. 
• Work in a matrix environment, manage and deliver solutions/POVs across multiple accounts/clients and regions 
• Stay abreast of emerging trends in technology driving Digital Transformation & data democratization, leveraging technology to define and deliver value to our clients.
• Monitor and analyze industry trends, regulatory changes, and competitive dynamics, adjusting our strategy and offerings as needed. 
• Lead a diverse team of consultants and subject matter experts, fostering a culture of collaboration, innovation, and excellence. 
• Partner with clients to understand their business challenges and opportunities, providing strategic guidance and innovative solutions 
• Drive thought leadership initiatives, representing our company at industry events, conferences, and forums 

Qualifications: 

• Bachelor’s Degree (BE / BTech - CS) from Tier I / II universities like IIT’s / NIT’s and MBA from Top Tier B-schools (IIM) preferred 
• 15-20 Years of Experience in the financial services industry, with a track record of success in strategic leadership roles 
• Robust experience in Retail, Investment Bank/Capital Markets, Asset Management, Wealth management, Insurance & Payments. 
• Exposure in Risk management – credit, market, operational risk 
• Exposure in Compliance management – AML/KYC, Trading Compliance, Risk & Suitability

Desired Skills: 

• Understanding of applications of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Hands on quantitative experience with analytic tools and technologies 
• A self-starter who can work well with minimal guidance 
• Exposure to Pre-Sales is highly desirable 
• Exposure to Financial Services across US, EU and APAC

The Overview 

At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users but to ask, “what more can we make possible?” 

Our User Research team is a critical partner in this mission, responsible for driving research that uncovers deep insights and shapes our product and company strategy. As a Staff User Researcher, you will work with a globally distributed team to apply your craft and expertise across a range of products and services. You will tackle complex research questions, delivering insights that ensure we are solving the right problems for our customers.

The Finer Print 

As a Staff UX Researcher in India, you will lead and establish user research efforts locally, embedding UXR practices within our growing India-based cross-functional teams and taking ownership of high-impact research initiatives for a key Okta product area. This is a unique opportunity to promote and cultivate a user-centered culture, guiding local product, design, and engineering partners who are new to direct collaboration with UX research. You will work closely with these local teams daily, while also collaborating effectively with your global UXR colleagues and stakeholders. Your research will directly inform critical decisions, contributing to both the product's long-term vision and near-term development. You will be instrumental in establishing research operations in India, ensuring that foundational and evaluative insights are effectively leveraged to drive exceptional user experiences.

In this role, you have the opportunity to:

• Champion user-centered best practices and build strong, trusted relationships with product, design, and engineering leaders within our growing Bangalore office
• Drive collaborative research initiatives with cross-functional teams and guide them in leveraging insights to inform decisions and foster a culture of curiosity
• Communicate complex insights clearly and persuasively to diverse audiences across all levels and time zones, ensuring seamless alignment within our global team
• Utilize LLMs (e.g., ChatGPT, Claude) to accelerate end-to-end research workflows, from literature reviews and transcript analysis to report drafting.
• Synthesize insights at scale by leveraging AI-augmented repositories and tools across multiple concurrent projects, without sacrificing research rigor.
• Establish and refine UX research processes, operational frameworks, and supporting tools tailored to the needs of the Bangalore office, aligning with our global UX Research standards
• Build and manage key research operations, including leading APAC participant recruitment efforts and collaborating with our global UX Research Operations team to optimize our Dovetail research repository for local stakeholders

• Lead end-to-end research initiatives, expertly applying a flexible range of methodologies (generative and evaluative) to illuminate customer needs and deliver high-impact insights that drive product growth
• Share your expertise and insights with the global UX Research team, and play a pivotal role in building UX Research capacity within the Bangalore office as the team grows
• Access global learning resources and collaborate with experienced researchers worldwide to continuously enhance your skills

Who We Are Looking For

• Demonstrated ability to effectively introduce and integrate UX Research into teams with limited prior exposure, clearly articulating its value and driving buy-in
• Experience thriving in a remote, globally distributed team environment, with a proven ability to manage asynchronous communication, maintain alignment across different time zones, and build strong rapport and influence with remote stakeholders across cultures
• You possess a proven ability to critically evaluate AI-generated outputs for bias, hallucinations, and gaps; you know when to trust, refine, or override AI and can articulate that judgment.
• A proactive and highly self-driven approach, with a proven ability to independently identify research opportunities, define scope, and successfully project manage complex initiatives end-to-end, consistently delivering high-quality insights on time and within scope
• Resourcefulness in navigating ambiguity and establishing new processes and tooling where needed
• Proven experience as an embedded UX Researcher with deep expertise in applying a wide range of methodologies (e.g., usability studies, contextual inquiry, surveys) to identify and elevate user needs, driving valuable product outcomes
• Able to translate business problems into human-centered research questions, applying your technical understanding to inform company goals
• Exceptional proficiency in communicating complex research findings and insights, adeptly tailoring presentations and guiding collaborative sessions with diverse cross-functional partners and senior leadership to drive alignment and informed decisions
• Experience with products made for developers, administrators, or other technical audiences
• Strong decision-making and problem-solving capabilities while working with constraints
• Empathy for users and a passion for understanding technical experiences
• Experience working on security products is a plus
• A proactive and curious mindset with a dedication to continuous professional development, and a proven ability to contribute positively to the team's research culture and skill set

Qualifications:

• 8+ years of experience in a User Research or related role, with a strong digital portfolio demonstrating end-to-end research on shipped B2B or enterprise SaaS products. (A portfolio is required for consideration).
• Practical experience using LLMs to accelerate research workflows, with specific examples of measurable impact on project timelines or scale.
• Expertise in a wide range of qualitative and quantitative research methods.
• A Master’s degree in Human-Computer Interaction (HCI), Psychology, Sociology, or a related field is preferred.

P10891_3414578

• #LI_Hybrid

The Opportunity:

Are you a data-driven storyteller with a passion for transforming raw information into actionable insights that drive tangible business outcomes? Do you thrive on collaborating directly with business stakeholders to understand their needs and then architecting elegant data solutions? If so, we have an exciting opportunity for a highly skilled and motivated Manager-level Business Analytics to join our growing team in Bangalore. In this role, you will be instrumental in empowering our business users with the data and visualizations they need to make informed decisions, analyze and drive improvements to our Finance operational performance, business decisions, and strategy. You will drive the analytics lifecycle, from initial consultation to the delivery of impactful dashboards and data sets.

What You'll Do:

• Strategic Alignment: Drive cross-functional alignment and prioritization of Finance analytics initiatives to generate actionable insights and tangible business improvements.
• Become a Trusted Advisor: Partner closely with business users across various departments to understand their strategic objectives, identify their analytical requirements, and translate those needs into clear and actionable data and reporting solutions.
• Consultative Analysis: Engage with stakeholders to explore their business questions, guide them on appropriate analytical approaches, and help them define key metrics and performance indicators (KPIs).
• Data Architecture & Design: Partner with our Data and Insights team to design and develop robust and efficient data models and datasets optimized for visualization and analysis, ensuring data accuracy and integrity.
• Enterprise Partnership & Analytics Foundations: Partner with the Enterprise Data & Insights team to align Finance with company-wide data standards and policies while developing the foundational infrastructure and capabilities of the Finance Analytics function.
• Expert Tableau Development: Leverage your deep expertise in Tableau to create intuitive, interactive, and visually compelling dashboards and reports that effectively communicate key insights and trends. Establish visualization best practices and storying and enable Finance report builders to adopt them.
• Data Wrangling & Transformation: Utilize Fivetran and/or Python scripting to extract, transform, and load data from various sources into our analytics platforms.
• End-to-End Ownership: Take full ownership of the analytics projects you lead, from initial scoping and data acquisition to dashboard deployment, user training, and ongoing maintenance.
• Drive Data Literacy: Educate and empower business users to effectively utilize dashboards and data insights to drive business outcomes.
• Stay Ahead of the Curve: Continuously explore new data visualization techniques, analytical methodologies, data technologies, and AI capabilities for interactive analytics to enhance our analytics capabilities.
• Collaborate and Communicate: Effectively communicate complex analytical findings and recommendations to stakeholders. Lead cross-functional collaborations to achieve project goals.
• Data Governance & Quality: Champion data accuracy, consistency, and integrity across Finance, driving robust governance and maintaining core foundations such as the reporting inventory, structure, access, and data dictionary.
• Performance Monitoring & Iteration: Monitor the performance and user adoption of developed dashboards, gather feedback, and implement necessary revisions for continuous improvement.
• Documentation & Training: Develop comprehensive documentation for created dashboards and datasets. Provide training and support to business users to ensure effective utilization of analytics tools.

What You'll Bring:

• 8+ years of experience in a Business Analytics, Data Analytics, or similar role with increasing responsibility.
• Proven experience working directly with business stakeholders to understand their needs and deliver data-driven solutions.
• Expert-level proficiency in Tableau, including advanced calculations, parameters, actions, and performance optimization.
• Strong hands-on experience in building and optimizing data sets for Tableau.
• Solid experience with data integration tools, preferably Fivetran, and the ability to design and implement data pipelines.
• Proficiency in Python for data manipulation, cleaning, and transformation (e.g., using libraries like Pandas).
• Strong understanding of data warehousing principles and experience with platforms such as Snowflake or Redshift.
• Advanced SQL skills for data extraction, transformation, and querying.
• AI literate, experience with traditional and generative AI. 
• Excellent problem-solving and analytical skills with a strong attention to detail and the ability to translate business questions into analytical frameworks.
• Exceptional written and verbal communication skills, with the ability to present complex data insights effectively to both technical and non-technical audiences.
• Proven ability to manage multiple analytics projects simultaneously, prioritize tasks, and meet deadlines effectively.
• Excellent collaboration and interpersonal skills with the ability to build strong working relationships with business stakeholders.
• Bachelor's degree in a quantitative field such as Engineering, Finance/Accounting/ Business, Economics, Statistics, Mathematics, Computer Science, or a related discipline. (Master's degree a plus).

Bonus Points For:

• Experience in SaaS software industry is highly preferred.
• Experience with other data visualization tools (e.g., Power BI, Looker).
• Familiarity with cloud-based data platforms (e.g., BigQuery).
• Familiarity with basic statistical concepts and methodologies is a plus.

This role is hybrid, with the expectation of working from our local office on specified days based on local expectations. We will continuously assess this arrangement, and it may be subject to change based on business needs and evolving circumstances.

#LI-Hybrid

P22262_3137714

We are looking for a talented Individual Contributor to join a cross-functional product team responsible for integrating the Order & Portfolio Management System with the broader platform ecosystem and building new O/PMS features, with a focus on seamless trade lifecycle workflows from order creation through to position synchronization, reconciliation, and post-trade processing.

What You'll Do

• Own features from concept to delivery across the trade lifecycle, producing roadmaps and feature specifications through domain deep-dives and requirements gathering for order workflows, FIX connectivity, allocation logic, and portfolio analytics.
• Articulate product value propositions drawing on knowledge of order routing, execution management, portfolio construction, and position keeping.
• Partner with engineers, architects, and platform partners to translate specs into product, bridging trading desk workflows and back-office accounting while coordinating timelines, dependencies, and deliverables across integration workstreams.
• Build comprehensive test cases covering order routing, execution, position synchronization, data mapping, exception handling, and end-to-end integration.
• Conduct competitor analysis across the OMS/PMS/EMS landscape.

What You'll Need

• 8+ years in front, middle, and/or back-office; 4+ years in product management
• 2+ years direct experience working with OMS and/or PMS platforms, covering order creation, routing, execution, allocation, and settlement.
• Familiarity with how OMS/PMS platforms interact with execution venues, prime brokers, fund administrators, and accounting engines.
• Experience collaborating with engineers in an agile environment.
• Ability to manage multiple workstreams with diligence.
• Graduate degree in software engineering, finance, or a related quantitative field

Arcesium's Personal Data Privacy Notice for Candidates is linked here. 

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview

Retail and Selection is the engine behind Coupang’s massive product catalog, ensuring we offer the right products at the right price with the best availability. As we scale, the complexity of managing millions of SKUs and thousands of vendor relationships grows exponentially.
We are looking for a Staff Data Analyst to join the Retail and Selection team. In this role, you will be the technical architect of our data strategy, transforming raw market signals and internal metrics into a competitive advantage. You will work on projects that define the quality, availability, and depth of data needed to optimize our selection, pricing, and inventory health. You will use your deep expertise in SQL, ETL development, and data integrity to ensure Coupang’s leadership has the insights needed to dominate the retail landscape.

What You Will Do

• Data Strategy & Governance: Lead high-impact projects to improve the quality and depth of selection data, ensuring "source of truth" reliability for multi-billion dollar business decisions.
• Pipeline & ETL Mastery: Architect and maintain robust data ETL processes to integrate disparate signals from market trends, vendor performance, and customer demand.
• AI & Prompt Engineering: Leverage Large Language Models (LLMs) and advanced prompt engineering to automate catalog categorization, extract insights from unstructured vendor data, and accelerate internal analytical workflows.
• Knowledge Management: Own and evolve the Retail Team Knowledge Base, ensuring that technical documentation, data dictionaries, and business logic are centralized, searchable, and up-to-date for Data Analysis using AI tools.
• Business Empowerment: Support the onboarding of business users, designing training programs and self-service dashboards that enable Category Managers and Vendors to make data-driven decisions independently.
• Advanced Decision Modeling: Structure large-scale datasets to build decision models for SKU rationalization, automated replenishment, and competitive benchmarking.
• Optimization & Simulation: Run complex simulations to predict the impact of selection changes on customer retention and long-term profitability.
• Stakeholder Influence: Translate complex analytical findings into clear, actionable narratives for executive stakeholders across Retail and Supply Chain teams.
• Mentorship: Act as a technical beacon for the analytics community, guiding senior and junior analysts in their technical development and problem-solving frameworks.

Basic Qualifications

• Experience: 5+ years of relevant working experience in a data analytics or business intelligence role.
• Technical Stack: Expert-level proficiency in SQL and Python/R for data extraction and manipulation.
• AI Proficiency: Practical experience with prompt engineering and using generative AI tools to solve data problems or automate content generation.
• Visualization: Mastery of data storytelling using PowerBI, Tableau, or similar tools to communicate insights effectively to non-experts.
• Communication: Business-level fluency in English with a proven ability to teach and onboard non-technical business users.

Preferred Qualifications  

• Data Engineering: Hands-on experience with version control (GitHub) and workflow orchestration tools like Airflow.
• Content & Documentation: Experience managing internal wikis (e.g., Confluence, Notion) or building structured knowledge bases for large organizations.
• Domain Expertise: Previous experience in Retail, E-commerce selection management, or Demand Forecasting.
• Quantitative Depth: Strong knowledge of statistics and ML techniques (e.g., elasticity modeling, clustering for customer segmentation).

Type of work model 

• Hybrid 
  
  

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview

Retail and Selection is the engine behind Coupang’s massive product catalog, ensuring we offer the right products at the right price with the best availability. As we scale, the complexity of managing millions of SKUs and thousands of vendor relationships grows exponentially.
We are looking for a Staff Data Analyst to join the Retail and Selection team. In this role, you will be the technical architect of our data strategy, transforming raw market signals and internal metrics into a competitive advantage. You will work on projects that define the quality, availability, and depth of data needed to optimize our selection, pricing, and inventory health. You will use your deep expertise in SQL, ETL development, and data integrity to ensure Coupang’s leadership has the insights needed to dominate the retail landscape.

What You Will Do

• Data Strategy & Governance: Lead high-impact projects to improve the quality and depth of selection data, ensuring "source of truth" reliability for multi-billion dollar business decisions.
• Pipeline & ETL Mastery: Architect and maintain robust data ETL processes to integrate disparate signals from market trends, vendor performance, and customer demand.
• AI & Prompt Engineering: Leverage Large Language Models (LLMs) and advanced prompt engineering to automate catalog categorization, extract insights from unstructured vendor data, and accelerate internal analytical workflows.
• Knowledge Management: Own and evolve the Retail Team Knowledge Base, ensuring that technical documentation, data dictionaries, and business logic are centralized, searchable, and up-to-date for Data Analysis using AI tools.
• Business Empowerment: Support the onboarding of business users, designing training programs and self-service dashboards that enable Category Managers and Vendors to make data-driven decisions independently.
• Advanced Decision Modeling: Structure large-scale datasets to build decision models for SKU rationalization, automated replenishment, and competitive benchmarking.
• Optimization & Simulation: Run complex simulations to predict the impact of selection changes on customer retention and long-term profitability.
• Stakeholder Influence: Translate complex analytical findings into clear, actionable narratives for executive stakeholders across Retail and Supply Chain teams.
• Mentorship: Act as a technical beacon for the analytics community, guiding senior and junior analysts in their technical development and problem-solving frameworks.

Basic Qualifications

• Experience: 5+ years of relevant working experience in a data analytics or business intelligence role.
• Technical Stack: Expert-level proficiency in SQL and Python/R for data extraction and manipulation.
• AI Proficiency: Practical experience with prompt engineering and using generative AI tools to solve data problems or automate content generation.
• Visualization: Mastery of data storytelling using PowerBI, Tableau, or similar tools to communicate insights effectively to non-experts.
• Communication: Business-level fluency in English with a proven ability to teach and onboard non-technical business users.

Preferred Qualifications  

• Data Engineering: Hands-on experience with version control (GitHub) and workflow orchestration tools like Airflow.
• Content & Documentation: Experience managing internal wikis (e.g., Confluence, Notion) or building structured knowledge bases for large organizations.
• Domain Expertise: Previous experience in Retail, E-commerce selection management, or Demand Forecasting.
• Quantitative Depth: Strong knowledge of statistics and ML techniques (e.g., elasticity modeling, clustering for customer segmentation).

Type of work model 

• Hybrid 
  
  

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Who are we?

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the  fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

Why Join Sigmoid? 

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to  tackle intrinsically complex business problems and convert them into straight-forward data solutions. 
• Despite being continuously challenged,  you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo’
• Vibrant inclusive culture of mutual respect and fun through both work and play

Engagement Manager – Life Sciences Consulting
(Management Consulting Team, India)

Roles and Responsibilities:

• Own & drive execution of the business-analytics roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with data science & engineering SMEs and teams
• Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data science and AI
• Define business problems concisely, consolidate the findings and hypothesize the proposed solution. Measure and articulate how solutions and results improve clients’ objectives
• Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
• Perform a role that involves a combination of hands-on contribution, customer engagement and team management.
• Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Mandated Skills:

• Bachelor’s Degree (BE / BTech - CS) from Tier I / II universities like IIT’s / NIT’s and MBA from Top Tier B-schools (IIMs) preferred.
• 8-10 years of professional work experience in prominent CPG or Lifesciences analytics domains like Consumer Behavior, Demand Planning, Pricing Management, Supply Analytics, Customer Service, Revenue Management, etc.
• Proven exceptional problem-solving analytical skills with an ability to blend creativity and logical thought to innovatively think through a problem and develop solutions
• Ability to develop and articulate strategic recommendations based on rigorous data analysis
• Should have developed new consulting business capabilities within target Industry verticals
• Experience in strategy and business/technology consulting roles conversant with process improvement, cost optimization, customer analytics and experience management, architecture assessments etc.
• Demonstrated sustained client relations management experience at a C-suite/ leadership or have operated at a senior management level in the industry role

Desired Skills:

• Understanding of applications of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Any hands on quantitative experience with analytical tools
• Providing required inputs to sales, and pre-sales activities
• A self-starter who can work well with minimal guidance

Who are we?

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the  fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

Why Join Sigmoid? 

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to  tackle intrinsically complex business problems and convert them into straight-forward data solutions. 
• Despite being continuously challenged,  you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo’
• Vibrant inclusive culture of mutual respect and fun through both work and play

Engagement Manager, CPG and Manufacturing – Business Consulting & Solutions Group (BC&S, India) 

Roles and Responsibilities:

• Own and drive execution of the business–analytics roadmap for key CPG / Consumer clients by demonstrating strong techno-functional consulting and stakeholder management, in close collaboration with data science and engineering teams.
  
  
• Lead client workshops where broad vision and ambiguous business problems are translated into concrete data, analytics, and AI use cases.
  
  
• Define business problems concisely, synthesize findings, hypothesize solution options, and measure and articulate how solutions improve client objectives (revenue, cost, working capital, service, risk).
  
  
• Independently liaise with senior client stakeholders (including CxO / functional leaders), convincingly present solution approaches, and constructively question or challenge the client where required.
  
  
• Lead solutioning and presales for your accounts shaping problem statements, approaches, SoWs, proposals, and demo storylines.
  
  
• Perform a role that combines hands-on contribution, client engagement, and team management across multiple parallel initiatives.
  
  
• Manage cross-functional teams (DE, DS, BI) for high-quality delivery: planning sprints, tracking progress, and proactively managing risks and dependencies.
  
  
• Contribute to organization-building through training, mentoring, and developing reusable consulting and analytic frameworks that can be scaled across clients.

Mandated Profile:

• Bachelor’s Degree (BE / BTech – preferably in Engineering / CS / related quantitative disciplines) from Tier I / II universities (e.g., IITs / NITs); MBA from top-tier B-schools (IIMs or equivalent) preferred.
• 8+ years of business / management consulting experience, with significant exposure to prominent CPG and/or Lifesciences domains such as Consumer Behaviour, Demand Planning, Pricing & Revenue Management, Supply / Logistics Analytics, Customer Service, or Commercial Excellence.
• Proven exceptional problem-solving and analytical skills, with the ability to blend creativity and structured logic to think through complex problems and develop practical solutions.
• Ability to develop and articulate strategic recommendations based on rigorous data analysis and clear linkage to business value.
• Demonstrated experience in strategy and business/technology consulting roles, conversant with:
  • Process improvement and operating model design
  • Cost optimization and productivity programs
  • Customer analytics and experience management
  • Architecture / capability assessments and roadmap definition
• Demonstrated sustained client relationship management at C-suite / leadership level or having operated at a senior management level in an industry role.
• Proven experience in developing new consulting capabilities or offerings within target industry verticals (e.g., CPG, Lifesciences), including IP, frameworks, and repeatable approaches.
• Prior experience in a consulting / analytics firm, Big-4, or digital practice is strongly preferred

Desired Profile:

• Applicants with exposure in CPG industry either directly working within business, or consulting will be preferred
• Understanding of applications of statistical and machine learning algorithms
• Any hands on experience with analytical tools

Applicants having active B1/B2 (US Visa) will be a plus. 

Who are we? 

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the  fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

Why Join Sigmoid?

 Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to  tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged,  you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo, Vibrant inclusive culture of mutual respect and fun through both work and play

Senior Management Consultant – Supply Chain & Manufacturing

(Management Consulting Team, India) 

Roles and Responsibilities:

• Own & drive execution of the business-analytics roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with data science & engineering SMEs and teams
• Leading client workshops where broad vision and ambiguous business problems are articulated   to be solved through data science and AI
• Define business problems concisely, consolidate the findings and hypothesize the proposed solution. Measure and articulate how solutions and results improve clients’ objectives
• Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
• Perform a role that involves a combination of hands-on contribution, customer engagement   and team management.
• Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Mandated Skills:

• Bachelor’s Degree (BE / BTech - CS) from Tier I / II universities like IIT’s / NIT’s and MBA from Top Tier B-schools (IIM) preferred.
• 5-8 years of professional work experience in Supply Chain Analytics or SC Product Development, with at least 3 years spent delivering value for a Consumer Goods or Retail environment 
• Excellent research, analytical, and numerical skills
• Proven exceptional problem-solving analytical skills with an ability to blend creativity and logical thought to innovatively think through a problem and develop solutions
• Ability to develop and articulate strategic recommendations based on rigorous data analysis
• Should have developed new consulting business capabilities within  target Industry verticals
• Experience in strategy and business/technology consulting role conversant with process improvement, cost optimization, customer analytics and experience management, architecture assessments etc.
• Demonstrated sustained client relations management experience at a C-suite level or operated at a senior management level in the industry role

Desired Skills:

• Understanding of applications of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Any hands on quantitative experience with analytic tools 
• Providing required inputs to sales, and pre-sales activities
• A self-starter who can work well with minimal guidance

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

About the Role:

We are looking for a Senior Data Analyst who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries.

More specifically, you will: 

• Engage with clients to understand their business context
• Understand business processes and map the complete process in visual formats.
• Translate business problems into analytical structures and solve using statistical/ML techniques
• Manage a team of data analysts to deliver solutions for clients.
• Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. 

Desired Skills & Competencies:

• Developing and enhancing algorithms and models to solve business problem.
• Providing end-to-end analysis support across different industry domains and application areas.
• Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations)
• Conducting quantitative analyses and interpreting results
• Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any).
• Proficient in MS SQL Database.
• Python knowledge is good to have.
• Strong analytical and problem-solving skills.

• Storyboarding, Client Interaction is a value addition.

Education & Desired Experience

• 3 - 6 years of relevant Analytics experience with focus on problem solving and advanced analytics solutions
• B.E, MBA or an Advanced degree in Mathematics/Statistics or Equivalent.

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

About the Role:

We are looking for a Lead Data Analyst who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries.

More specifically, you will:

• Engage with clients to understand their business context
• Understand business processes and map the complete process in visual formats.
• Translate business problems into analytical structures and solve using statistical/ML techniques
• Manage a team of data analysts to deliver solutions for clients.
• Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. 

Desired Skills &Competencies:

• Developing and enhancing algorithms and models to solve business problem.
• Providing end-to-end analysis support across different industry domains and application areas.
• Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations).
• Conducting quantitative analyses and interpreting results
• Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any)
• Proficient in MS SQL Database.
• Python knowledge is good to have.
• Strong analytical and problem-solving skills.
• Storyboarding, Client Interaction is a value addition.

Education & Desired Experience:

• 5 - 8 years of relevant Analytics experience with focus on problem solving and advanced analytics solutions
• B.E, MBA or an Advanced degree in Mathematics/Statistics or Equivalent.

Who are we?

Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the  fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

 The below role is for our Bengaluru office.

Why Join Sigmoid?

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to  tackle intrinsically complex business problems and convert them into straight-forward data solutions.
• Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo’
• Vibrant inclusive culture of mutual respect and fun through both work and play

Engagement Manager – Life Sciences Consulting
 (Management Consulting Team, India)

Roles and Responsibilities:

• Own & drive execution of the business-analytics roadmap by demonstrating techno-functional consulting & stakeholder management capabilities in collaboration with data science & engineering SMEs and teams
• Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data science and AI
• Define business problems concisely, consolidate the findings and hypothesize the proposed solution. Measure and articulate how solutions and results improve clients’ objectives
• Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
• Perform a role that involves a combination of hands-on contribution, customer engagement and team management.
• Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Mandated Skills:

• Bachelor’s Degree (BE / BTech - CS) from Tier I / II universities like IIT’s / NIT’s and MBA from Top Tier B-schools (IIMs) preferred.
• 8-10 years of professional work experience in prominent CPG or Lifesciences analytics domains like Consumer Behavior, Demand Planning, Pricing Management, Supply Analytics, Customer Service, Revenue Management, etc.
• Proven exceptional problem-solving analytical skills with an ability to blend creativity and logical thought to innovatively think through a problem and develop solutions
• Ability to develop and articulate strategic recommendations based on rigorous data analysis
• Should have developed new consulting business capabilities within target Industry verticals
• Experience in strategy and business/technology consulting roles conversant with process improvement, cost optimization, customer analytics and experience management, architecture assessments etc.
• Demonstrated sustained client relations management experience at a C-suite/ leadership or have operated at a senior management level in the industry role

Desired Skills:

• Understanding of applications of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams
• Any hands on quantitative experience with analytical tools
• Providing required inputs to sales, and pre-sales activities
• A self-starter who can work well with minimal guidance

The below role is for our Bengaluru office. 

Director – Data Science 

Why Join Sigmoid? 

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. 
• Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo 
• Vibrant inclusive culture of mutual respect and fun through both work and play

Roles and Responsibilities: 

• Convert broad vision and concepts into a structured data science roadmap, and guide a  team to successfully execute on it. 
• Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a  combination of hands-on contribution, technical team management, and client interaction.
• Proven ability to discover solutions hidden in large datasets and to drive business results  with their data-based insights 
• Contribute to internal product development initiatives related to data science.
• Drive excellent project management required to deliver complex projects, including  effort/time estimation. 
• Be proactive, with full ownership of the engagement. Build scalable client engagement level  processes for faster turnaround & higher accuracy 
• Define Technology/ Strategy and Roadmap for client accounts, and guides implementation  of that strategy within projects 
• Manage the team-members, to ensure that the project plan is being adhered to over the  course of the project 
• Build a trusted advisor relationship with the IT management at clients and internal accounts  leadership. 

Mandated Skills: 

• A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject
• 15+ overall experience with 12+ years of hands-on experience in applied Machine Learning, AI and analytics
• Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) 
• Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc.
• Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas
• Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. 

Desired Skills: 

• Deep understanding of ML algorithms for common use cases in both structured and  unstructured data ecosystems. 
• Comfortable with large scale data processing and distributed computing 
• Providing required inputs to sales, and pre-sales activities 
• A self-starter who can work well with minimal guidance
• Excellent written and verbal communication skills

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

About the Role:
We are looking for Associate Manager Analytics who will work on a broad range of data analytics, data visualization and business intelligence problems across a variety of industries.

More specifically, you will: 
•    Engage with clients to understand their business context
•    Understand business processes and map the complete process in visual formats.
•    Translate business problems into analytical structures and solve using statistical/ML techniques
•    Manage a team of data analysts to deliver solutions for clients.
•    Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes.

 
Desired Skills & Competencies:
•    Developing and enhancing algorithms and models to solve business problem.
•    Providing end-to-end analysis support across different industry domains and application areas.
•    Generate data cuts/outputs according to agreed specifications (for example, survey data clean up, weighting data, recoding variables, creating custom tabular views, and running cross-tabulations)
•    Conducting quantitative analyses and interpreting results
•    Proficient in visualisation tools such as Power BI, Tableau, QlikView, Spotfire (Any).
•    Proficient in MS SQL Database.
•    Python knowledge is good to have.
•    Strong analytical and problem-solving skills.
•    Storyboarding, Client Interaction is a value addition.

Education & Desired Experience
•    4 - 6 years of relevant Analytics experience with focus on problem solving and advanced analytics solutions
•    B.E, MBA or an Advanced degree in Mathematics/Statistics or Equivalent.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Startups team is dedicated to winning all top venture capital backed startups in India. We achieve this by combining subject matter expertise with robust collaboration within the startup ecosystem. Our focus is on identifying and partnering with high-potential startups, assisting them in monetizing their products, scaling globally, and creating new revenue streams. You have the opportunity to sell the entire suite of Stripe products and run the full sales cycle through onboarding.

What you’ll do

In this role you will create partnerships between Stripe and founders of the most innovative and fastest-growing startups in India by helping them to understand how Stripe’s financial infrastructure and solutions can support their growth ambitions and create a competitive advantage for their businesses. 

As an Account Executive on the Startups team, you’ll identify new opportunities for startups to get the most out of Stripe’s growing products suite by thoroughly understanding their needs and advising them on how to leverage market-leading financial solutions to their own advantage. You will create and drive campaigns to build new sales pipelines and work with our users on increasing their Stripe adoption.

Responsibilities

• Own the full sales cycle from lead to close for startups.
• Identify high-potential prospective users from inbound and outbound leads.
• Lead and contribute to India team projects to develop and refine our sales strategies and processes to accelerate the number of new startups joining Stripe, including engaging with Accelerators and VC firms.
• Engage with Product, Marketing and User Operations teams to help amplify our growth trajectory.

Who you are

We’re looking for a well-rounded strategic seller who can build strong relationships with Stripe’s users and manage high velocity deal cycles. Our startup users are some of the most ambitious and demanding customers and a successful candidate will match their curiosity, speed and passion to build things by overcoming challenges. You are solution-oriented, adaptable, have a keen interest in further developing yourself and know how to get things done. You enjoy a highly-technical sales cycle and working with a diverse group of internal stakeholders.

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply.

Minimum requirements

• 2+ years of Sales or Business Development, preferably at a high-growth SaaS company, bank, consultancy or venture capital firm, with a track record of top performance.
• Strong interest in technology and the startup ecosystem.
• Strong analytical and quantitative capabilities including comfort with basic modeling.
• Superior verbal and written communication skills.
• Ability to operate in a highly ambiguous and fast-paced environment.
• Ability to understand different business models and build great relationships with highly technical founders.
• Ability to understand complex requirements and craft custom solutions.

Preferred qualifications

• Experience with Excel.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The India Go-To-Market (GTM) team is at the epicenter of a massive shift in how global software is built and sold. India has become the premier launchpad for AI-native and global-first companies, and our mandate is to be their indispensable partner from day one. We provide the high-leverage infrastructure that allows these founders to scale rapidly and monetize their innovation across 195+ countries. By aligning Stripe’s world-class global stack with the raw energy of the Indian AI ecosystem, we are ensuring that the next generation of global tech giants is powered by Stripe India.

What you’ll do

As a National Account Executive, Enterprise, you are the architect of Stripe’s most strategic partnerships in India. You won't just sell a product; you will design the financial backbone for India's AI-native unicorns. You will own the full lifecycle—from identifying the next global-first breakout stars to navigating complex, multi-stakeholder negotiations with C-suite executives. Your mission is to move Stripe from a 'payment provider' to an 'essential growth engine' for Indian businesses scaling globally.

Your mission: help AI-native and global-first Indian merchants scale internationally by positioning Stripe as their essential payments and financial infrastructure partner. You’ll work cross-functionally with product and engineering teams to craft tailored solutions, lead high-stakes commercial negotiations, and execute long-term sales strategies that cement Stripe’s presence in the Indian market.

Responsibilities

• Work with both new and existing Stripe customers to develop and execute long-term sales strategies to expand Stripe’s revenue
• Own the full sales cycle, from business case development, to deal structuring and negotiating, to close
• Own a named account list and develop account plans for winning and expanding business with high growth technology companies
• Develop outbound strategies to create and nurture opportunities
• Work with both new and existing Stripe customers to develop and execute long-term sales strategies to expand Stripe’s revenue 
• Drive deal strategy and commercial negotiations for large, complex renewals
• Develop relationships with executive stakeholders within your book of business
• Be responsible for account mapping and coordinating effective meetings with the appropriate external stakeholders expanding the customer relationship
• Lead and contribute to team projects to develop and refine our sales process and help shape the Stripe sales culture

Who you are

You are a driven, high-energy salesperson combined with technical knowledge who knows how to build a pipeline from scratch, hunt for new opportunities, and win over enterprise clients through persistence and strategic execution. You excel at engaging C-level executives—including CTOs, COOs, and CFOs—in both business and technical conversations, quickly earning trust and positioning Stripe as a must-have solution. With a proven track record of closing complex, multi-stakeholder deals, you take a consultative approach while maintaining a relentless focus on driving revenue.

At Stripe, collaboration is key. While you are highly self-motivated and competitive, you thrive in a team-first culture where knowledge-sharing, coaching, and contributing to a winning environment are critical to success. Finally, you enjoy building – you like to actively participate in the development of our sales process, the articulation of our value proposition, and the creation of key tools and assets.

If you’re motivated, smart, persistent, and a great teammate, we want to hear from you!

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Requirements

• 8+ years of software sales experience selling to Enterprise and Digital Natives in the India market, preferably at a technology company, with a track record of top performance.
• Superior verbal and written communication skills in English and Tamil / Hindi if needed.
• Ability to understand the Stripe API and build great relationships with highly technical customers.
• Ability to understand complex requirements and create value through solution selling.
• Strong analytical and quantitative capabilities including comfort with basic modeling.
• Experience building strong account relationships with Enterprises originating in India, but building for the world.
• Ability to operate in a highly ambiguous and fast-paced environment.
• Strong interest in technology.

At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are collaborative, take initiative, and get stuff done we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfil the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenue. 

Role Overview: ZoomInfo is seeking a Data Analyst III to join the Data Operations and Analysis team. This role partners closely with Product, Engineering, and Research teams to enhance data infrastructure, improve data quality, and deliver actionable insights that drive business impact.

Key Responsibilities:

• Develop a deep understanding of data systems, pipelines, and infrastructure.
• Analyze current data processes, identify gaps, and recommend scalable improvements.
• Drive initiatives to enhance data accuracy, coverage, and efficiency.
• Collaborate cross-functionally with Data Engineering, Product, and Research teams.
• Perform advanced data analysis and present insights in a clear, structured manner.
• Mentor junior analysts and contribute to team capability building.
• Work independently to explore data, propose solutions, and execute projects end-to-end.

Core Competencies:

• Strong analytical thinking and problem-solving ability.
• Ability to work in ambiguous environments and drive clarity.
• Effective communication with both technical and non-technical stakeholders.
• High attention to detail and strong organizational skills.
• Self-driven with the ability to manage multiple priorities.

Required Qualifications:

• 5+ years of experience in analytics, data operations, or quantitative research.
• Advanced proficiency in SQL, Python, BigQuery, and Excel.
• Strong understanding of ETL processes and data quality challenges.
• Experience working with large-scale datasets.
• Familiarity with AI/ML concepts including NLP and data modeling.

Preferred Qualifications:

• Experience building or deploying AI/ML solutions.
• Exposure to tools like Tableau or Looker Studio.
• Experience with Databricks, AWS, or Airflow.
• Background in product-driven or project-based environments.

Impact: This role plays a critical part in shaping the future of ZoomInfo’s data ecosystem by improving data reliability, scalability, and strategic value.

#LI-SG2

#LI-Hybrid

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

• Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
• Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
• Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
• Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
• Collaborate with global and cross-functional teams to design and implement optimized data solutions.
• Develop scalable tools such as solution workbenches and automated reporting systems.
• Scope, prioritize, and independently handle client requests with minimal supervision.
• Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
• Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
• Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

• Comply with information security policies and processes
• Report security weaknesses, events or potential events, or other security risks, to the organization
• Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

• Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
• Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
• Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
• Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
• Collaborate with global and cross-functional teams to design and implement optimized data solutions.
• Develop scalable tools such as solution workbenches and automated reporting systems.
• Scope, prioritize, and independently handle client requests with minimal supervision.
• Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
• Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
• Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

• Comply with information security policies and processes
• Report security weaknesses, events or potential events, or other security risks, to the organization
• Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

Junior Quant Developer — Backtesting, Simulation & Research, Productionise Research (C++/Python)

Role Overview

We’re hiring a junior Quant Developer to help productionise research into robust, high-performance trading systems. You’ll work closely with Quant Researchers and senior engineers to convert Python research code into production C++, build and optimise backtesting / simulation infrastructure, and support strategy development using L3 market data across multiple venues.

This is a hands-on, engineering-heavy role in a fast-moving environment: you’ll own components end-to-end and contribute directly to research velocity and trading PnL.

Key Responsibilities

• Productionise research models into C++: translate Python prototypes into efficient, maintainable C++ production code.
• Backtesting & simulation: build and improve simulation systems that reflect real market mechanics (order book, fills, cancels, exchange rules).
• L3 market data handling: ingest and process high-volume tick/order-level feeds; create reliable feature pipelines from raw exchange data.
• Performance optimisation: improve latency and throughput of backtests/sims (profiling, memory optimisation, data structures, parallelism where appropriate).
• Research support tooling: create utilities for data inspection, experiment tracking, run orchestration, and post-trade analytics in Python.
• Debugging & correctness: investigate mismatches between simulation and production behaviour; diagnose edge cases and implement fixes with strong test coverage.
• Cross-team collaboration: work daily with researchers and infra/exec engineers to ship improvements from idea → test → production.

Requirements

• Education: Bachelor’s or Master’s from a top university in Computer Science, Engineering, Math, Physics, or similar.
• 0-3 years experience in quantitative finance or other relevant data-intensive industries working with C++
• Strong working knowledge of C++ (memory, ownership, STL, performance-aware coding).
• Experience: demonstrable evidence of hands-on systems work in C++ handling large-scale data (internships, research labs, competitive projects, open-source).
• Comfortable with Python for analysis, tooling, and debugging (pandas/numpy/Jupyter a plus).
• Exposure to quantitative finance, eg through internships/university societies, including market microstructure and L3/order book data.
• Clear “builder mindset”: you like owning problems end-to-end, shipping incrementally, and iterating quickly.

Summary:
Tekion seeks an exceptionally talented and seasoned Senior Staff Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is a seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale. 

Key Responsibilities:

• Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges.
• Innovation & Research Leadership: Steer the R&D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions.
• Stakeholder Alignment: Serve as the principal technical liaison between the R&D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives.
• Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services.
• Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation.
• Mentorship & Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth.
• Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and articulate the business impact of machine learning initiatives to executive leadership.
• Governance & Best Practices: Institute and govern best practices for the entire machine learning lifecycle, including model development, validation, deployment, and monitoring, while championing ethical and responsible AI

Core Competencies & Technical Expertise
The successful candidate will demonstrate mastery in the following areas:

• Foundational Expertise: Deep, theoretical and practical expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI.
• Statistical Rigor: Advanced proficiency in applied probability and statistics to derive and validate insights from complex, high-dimensional data.
• Deep Learning:
  • Expert-level proficiency with frameworks such as TensorFlow, Keras, and PyTorch.
  • Extensive experience implementing advanced neural network architectures.
  • Practical application of Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g., spaCy) methodologies.
• Large Language Models (LLMs): Demonstrated experience with Large Language Models, including advanced prompt engineering, fine-tuning, and deployment for specific business applications.
• Technical Proficiencies:
  • Advanced programming skills in Python and mastery of SQL. Familiarity with distributed computing frameworks (e.g., Spark) is advantageous.
  • Proficiency with cloud computing platforms (GCP, Azure, AWS).
  • Expertise in experimental design (A/B testing, causal inference).
  • Proficient in version control systems (Git).

Required Qualifications

• An advanced degree (Ph.D. or M.S. preferred) in a quantitative discipline such as Computer Science, Statistics, Operations Research, Physics, or a related field.
• A minimum of 10+ years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value.
• A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach.
• Proven experience in programming, data manipulation, and building models in a business context.
• Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences.

Ideal Candidate Profile

• A profound intellectual curiosity and a systematic, first-principles approach to problem-solving.
• Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable.
• Experience in specialized areas such as Recommendation Engines or advanced NLP is preferred.
• Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences.
• A demonstrated ability to work collaboratively and effectively lead initiatives across multi-disciplinary teams.
• A commitment to continuous personal and team development within a collaborative, high-performance culture.

Address:

Bangalore Office  

Tekion India Private Limited 

6th, 7th & 8th Floor, Helium, Bagmane Solarium City, Doddanekkundi Village, KR Puram Hobli, East Taluk, Bangalore - 560037 

Chennai Office

Embassy Splendid Zone, Block 2, 9th floor, Velan Nagar, Arulmurugan Nagar, Old Pallavaram, Chennai, Tamil Nadu 600043

About the Team

The Financial Modeling Team is a part of the Customer & Product Support (C&PS) department which sits at the intersection of sales, customer success and technical support. The Financial Modeling team is comprised of finance professionals with prior experience in investment banking, equity research, and holds at least one of the following qualifications: Chartered Financial Analyst (CFA), Certified Financial Planner (CFP) or Certified Management Accountants (CMA), Financial Risk Manager (FRM). The team aims to understand our users' financial data needs to provide solutions that enhance M&A and quantitative research workflows.

The Financial Modeling team provides expert services for our analytical tools so that we can provide customers with a tailored experience when using our products. This seasoned team of investment professionals specializes in onboarding and customer adoption for our Excel add-ins, by developing, converting and validating financial models and library templates. 

About the Role

We are looking to hire an Analyst, Financial Modeling to join the growing Financial Modeling team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service by building financial models, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team helps build bespoke client model requests and maintain the template library using the excel add-ins tool. This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us.

Who You Are

Basic Requirements

• Post graduate degree in Finance, Accounting or similar. Professional qualification including Chartered Financial Analyst (CFA), FRM.

• An intelligent, articulate, consultative and confident professional with 1-3 years of client-facing experience.

• Have deep and proven expertise in finance and experience building financial models in excel with the ability to interpret financial data and conduct analysis.

• Knowledge of basic accounting concepts and a solid understanding of financial analysis terminology and best practices, such as DCF and financial statements.

• A keen eye for detail and an ability to sift through large data sets to extract meaningful information.

• Excellent time management skills, including the ability to work under pressure to meet tight deadlines.

• You enjoy being part of an entrepreneurial team and work diligently to help others when needed.

• Possess a customer-obsessed mindset and enjoy working through complex problems to find solutions.

• Strong communicator with the innate ability to distill and explain complex issues in simple terms.

• Advanced user of Microsoft Excel, PowerPoint and other Microsoft Office suite products.

• Strong analytical and quantitative skills.

• Effective communication and presentation abilities.

Preferred Requirements

• Experience working using CapIQ, Bloomberg or similar Excel add-ins

• Knowledge of VBA

• Ability to handle ambiguity, proactively identify challenges and present solutions 

• Have an interest in AI, technology and software applications

What You’ll Do

• Deliver a world-class customer experience.

  • Model Buildout: Work on custom model building for all the customers globally to ensure we deliver best in class customer experience. 

  • Model Accuracy: Ensure financial models are accurate, error-free, and reflect the business’s operational complexities.

  • Collaboration: Work closely with cross-functional internal teams to help clients maximize the value from our product offerings.

  • Documentation: Maintain comprehensive documentation of assumptions, methodologies, and formulas used in models.

  • Quality Assurance: Perform rigorous testing to validate model outputs and verify formula integrity.

  • Adaptability: Modify models to accommodate changing business circumstances, regulatory changes, or new data.

  • Problem-Solving: Address complex financial challenges by creating innovative solutions within the modeling framework.

  • Use Excel to produce high-quality models and reports for clients using AlphaSense add-in.

  • Create and present easy-to-understand models for clients

  • Deliver on predefined team targets including delivering outcomes with high quality and excellence.

  • Partner with internal teams to help clients maximize the value from AlphaSense product offerings.

• Be an expert on our product and continuously build your knowledge.

  • Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge

  • Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise.

  • Innovation: Work with product teams on new enhancements ideas/features for the template library.

  • Assist with special projects as assigned.

About the Team

The Financial Modeling Team is a part of the Customer & Product Support (C&PS) department which sits at the intersection of sales, customer success and technical support. The Financial Modeling team is comprised of finance professionals with prior experience in investment banking, equity research, and holds at least one of the following qualifications: Chartered Financial Analyst (CFA), Certified Financial Planner (CFP) or Certified Management Accountants (CMA), Financial Risk Manager (FRM). The team aims to understand our users' financial data needs to provide solutions that enhance M&A and quantitative research workflows.

The Financial Modeling team provides expert services for our analytical tools so that we can provide customers with a tailored experience when using our products. This seasoned team of investment professionals specializes in onboarding and customer adoption for our Excel add-ins, by developing, converting and validating financial models and library templates. 

About the Role

We are looking to hire an Analyst, Financial Modeling to join the growing Financial Modeling team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service by building financial models, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team helps build bespoke client model requests and maintain the template library using the excel add-ins tool. This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us.

Who You Are

Basic Requirements

• Post graduate degree in Finance, Accounting or similar. Professional qualification including Chartered Financial Analyst (CFA), FRM.

• An intelligent, articulate, consultative and confident professional with 1-3 years of client-facing experience.

• Have deep and proven expertise in finance and experience building financial models in excel with the ability to interpret financial data and conduct analysis.

• Knowledge of basic accounting concepts and a solid understanding of financial analysis terminology and best practices, such as DCF and financial statements.

• A keen eye for detail and an ability to sift through large data sets to extract meaningful information.

• Excellent time management skills, including the ability to work under pressure to meet tight deadlines.

• You enjoy being part of an entrepreneurial team and work diligently to help others when needed.

• Possess a customer-obsessed mindset and enjoy working through complex problems to find solutions.

• Strong communicator with the innate ability to distill and explain complex issues in simple terms.

• Advanced user of Microsoft Excel, PowerPoint and other Microsoft Office suite products.

• Strong analytical and quantitative skills.

• Effective communication and presentation abilities.

Preferred Requirements

• Experience working using CapIQ, Bloomberg or similar Excel add-ins

• Knowledge of VBA

• Ability to handle ambiguity, proactively identify challenges and present solutions 

• Have an interest in AI, technology and software applications

What You’ll Do

• Deliver a world-class customer experience.

  • Model Buildout: Work on custom model building for all the customers globally to ensure we deliver best in class customer experience. 

  • Model Accuracy: Ensure financial models are accurate, error-free, and reflect the business’s operational complexities.

  • Collaboration: Work closely with cross-functional internal teams to help clients maximize the value from our product offerings.

  • Documentation: Maintain comprehensive documentation of assumptions, methodologies, and formulas used in models.

  • Quality Assurance: Perform rigorous testing to validate model outputs and verify formula integrity.

  • Adaptability: Modify models to accommodate changing business circumstances, regulatory changes, or new data.

  • Problem-Solving: Address complex financial challenges by creating innovative solutions within the modeling framework.

  • Use Excel to produce high-quality models and reports for clients using AlphaSense add-in.

  • Create and present easy-to-understand models for clients

  • Deliver on predefined team targets including delivering outcomes with high quality and excellence.

  • Partner with internal teams to help clients maximize the value from AlphaSense product offerings.

• Be an expert on our product and continuously build your knowledge.

  • Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge

  • Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise.

  • Innovation: Work with product teams on new enhancements ideas/features for the template library.

  • Assist with special projects as assigned.

We have a peculiar product culture that enables us to build products that customers love. Customer-centricity, Empowerment, End-to-end ownership and Empowerment are the key pillars that enable this.

Our Product Managers are responsible for owning and driving a critical product and business problem throughout its lifecycle - identifying & prioritizing problems, solving them and designing the GTM strategy. They drive everything about their problem area - from defining the annual roadmap to running fortnightly sprints; while collaborating with internal and external stakeholders. Our PMs are empowered to make the right decisions and we encourage a culture of celebrating failures that enable us to take appropriate risks in the process. We are now looking to build the support for onboarding merchants on various storefront platforms such as Shopify, Woocommerce, Magento, etc. We want to build the easiest, fastest, most-intuitive experience for integrating with these platforms, among other things.

Roles and Responsibilities:

• Build Customer Empathy: PMs have to regularly meet and understand customer needs first-hand as well as stay on top of the customer pulse via secondary insights - both qualitative and quantitative.
• Devise Strategy: Define both long-term strategy and quarterly roadmap to achieve the product vision and create impact.
• Conceptualize new solutions: Product Conceptualization with a problem first, data-driven, and test & iterate approach. Ensures conceptualization from a platform and a long-term view. Ensures value-based prioritization of product initiatives.
• Build products: Collaborate with Engineering and ecosystem players to build products that customers love. Produce high-quality product specifications and effectively prioritize and manage the scope of each product launch to deliver products and features on time.
• Launch products: Draft and execute a go-to-market plan in conjunction with Product Marketing. Be the internal and external authority and advocate for your given area of focus.
• Ecosystem collaboration: Self-starter to collaborate closely with ecosystem players to co-build products that don’t exist.

Mandatory Qualifications:

• You understand technology, but love customer-first & business-first thinking.
• You are comfortable working hands-on in a fast-paced start-up environment.
• You are curious about metrics, execution processes, macro trends. 
• Problem-solving and detail orientation come naturally to you. 
• You have an analytical and data-driven approach in day-to-day work. Energetic self-starter with the ability to work independently in a fast-paced environment. 

Position Overview:

The User Acquisition team at Zynga is looking for an experienced and accomplished User Acquisition performance marketer who will be responsible for managing large-scale advertising campaigns. This person is an analytical and business-savvy number-cruncher who will acquire users for Zynga’s growing mobile portfolio. This individual will focus on leveraging Paid Social Channels, Ad Networks, and DSPs to scale our current marketing efforts. You will be responsible for helping the team identify and develop mobile acquisition strategies, and work closely with engineering and machine learning engineers to further improve our internal tools. You are an experienced quantitative online marketer who can manage multiple priorities while delivering outstanding execution. This role is well suited for those who are analytically strong and want to make a direct impact on the growth of the business.  

What You'll Do:

• Create and manage new user acquisition, and retargeting campaigns on paid social (i.e. Facebook, Google, TikTok) and ad network platforms (i.e. Unity, Applovin, Liftoff)

• Lead the optimization efforts across creative, geo, platform, and channel to maximize returns and scale products and deliver performance at scale.

• Have understanding of ad attribution and tracking with mobile measurement partners(i.e. Appsflyer, Adjust)

• Collaborate with the Game, Creative, and Product Marketing teams to make decisions that increase LTV and lower acquisition cost.

• Daily, weekly, and quarterly budget forecasting and reporting of results

What you Bring:

• 3+ years experience in a performance marketing role.

• Demonstrated experience with campaign management on paid social and DSP channels.

• Strong problem solving and analytical thinking skills, and experience working in a metrics-based environment.

• Experience with Tableau, advanced Excel, and mobile measurement partners (i.e. Adjust, Appsflyer, Kochava).

• Outstanding stakeholder communication skills  – both written and spoken – to work effectively with our external and internal partners.

What We Offer You :

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits

We are looking for a Trade Operations Engineer to take ownership of our risk, middle-office, and back-office systems. This role sits at the intersection of trading, engineering, and operations, and is critical to the reliability and scalability of the firm.

You will work closely with quantitative researchers, traders, and infrastructure, building and maintaining the systems that ensure trades are correctly captured, reconciled, and monitored in real time.

The role is hands-on and end-to-end. You will be responsible for designing, building, and operating full-stack applications that support trade reconciliation, risk monitoring, and operational workflows across both AWS and bare-metal environments.

What You’ll Be Doing

• Designing and building full-stack applications for risk monitoring and middle/back-office workflows using Java and React
• Owning trade reconciliation pipelines, ensuring accuracy and consistency across multiple systems and venues
• Developing operational tooling and monitoring to support live trading and post-trade processes
• Working closely with infrastructure to support systems running across AWS and colocated bare-metal servers
• Troubleshooting and maintaining trading applications, primarily in Java, with some interaction with C++ components
• Investigating and resolving live production issues related to trade flow, clearing, and risk limits
• Improving system reliability, observability, and operational efficiency over time

What You Need

Finance Experience: You have prior professional experience as a software engineer within the finance industry. Experience in HFT, proprietary trading, or systematic trading environments is a strong advantage.

Technical Stack: Strong full-stack engineering experience, with Java on the back-end and React on the front-end. You are comfortable owning both application logic and user-facing components.

Domain Knowledge: You understand post-trade workflows and operational processes, including trade reconciliation, clearing, and real-time risk monitoring. You are comfortable working with trade lifecycle data and debugging inconsistencies.

Systems Environment: You are comfortable working in Linux environments and collaborating with infrastructure teams. Experience working across cloud (AWS) and bare-metal or colocated environments is beneficial.

C++ Familiarity: You do not need to build low-latency systems in C++, but you should be comfortable reading, debugging, and making targeted changes in existing C++ codebases.

Ownership & Mindset: You take ownership of systems end-to-end, from development through to production support. You are pragmatic, detail-oriented, and comfortable working in a fast-paced trading environment where systems must be reliable under pressure.

JOB TITLE

Support Engineer, Macro Technology 

A Career with point72’s Technology Team

As Point72 reimagines the future of investing, our Technology group continuously enhances the firm’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We are a team of experts experimenting with open-source and AI solutions, embracing enterprise agile methodologies, and driving innovation. We encourage professional development to ensure you bring fresh ideas to our products while satisfying your intellectual curiosity. 

What You’ll Do 

• Support the Macro trading platform and post-trade workflows at Point72.
• Monitor system stability and performance, troubleshoot system or data issues, and ensure smooth operation of Macro trading applications.
• Manage user onboarding, offboarding, and system changes, responding promptly to user inquiries and ensuring seamless access to Macro Position systems.
• Configure account rollups and instrument setups to produce accurate analytics and support Macro trading workflows.
• Innovate and improve system processes and tools to automate repetitive tasks, enhance efficiency, and streamline workflows.
• Collaborate closely with developers and other stakeholders to resolve issues, prevent future problems, and continuously improve the system.
• Coordinate with other technology and business teams on production issues and high-impact changes, ensuring alignment across teams.
• Proactively communicate potential problems, address issues promptly, engage relevant parties, and conduct thorough root cause analyses.
• Develop a quantitative understanding of reference data, market data, model data, PnL calculations, risk exposures, portfolio analytics, and other key components of the Macro trading systems.
• This role is critical to ensuring the successful implementation and ongoing support of the Orchestrade and Murex applications and the broader Macro technology ecosystem.

What’s Required 

• Training in Computer Science, Mathematics, Physics, or a related technical field
• Strong team player with excellent written and verbal communication skills with peers and clients
• Demonstrated interest and passion for understanding financial markets and instruments
• Prior experience supporting Macro trading business
• Prior experience with Orchestrade, Murex, or similar systems
• Proficient SQL query skills
• Proficient coding or scripting skills (C#, Python, JavaScript, PowerShell, Batch, etc.)
• Proficient knowledge of Windows, .NET, and SQL Server
• Strong troubleshooting, coordination, and problem-solving skills
• Detail-oriented data analytical skills
• Highly responsible, self-motivated, and capable of multitasking
• Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Health care benefits
• Maternity, Adoption & related leave policies
• Generous paternity and family care leave policies
• Employee Assistance Program & Mental wellness programs
• Transportation support
• Tuition assistance

About point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com.

Role Overview

This role sits at the core of how the platform works in practice for builders and solution teams.

You will translate complex platform capabilities—reusable components, workflows, and AI-driven systems—into intuitive, structured, and usable experiences. Beyond feature-level design, you will shape end-to-end workflows, ensuring clarity, usability, and scalability across use cases.

What You Will Own

Workflow & Experience Design

• Own end-to-end UX for key workflows from ideation to high-fidelity execution
• Translate complex, multi-step systems into intuitive interaction models
• Craft interfaces that simplify configuration-heavy, enterprise workflows
• Balance usability with power, flexibility, and correctness

Builder Experience & Usability

• Identify and remove friction in day-to-day builder workflows
• Design for both technical and semi-technical personas
• Enable smooth progression from exploration to production usage
• Ensure users understand system behavior, outputs, and tradeoffs

Prototyping, Research & Iteration

• Rapidly prototype concepts (low → high fidelity) to validate ideas
• Conduct user research (interviews, usability tests) and synthesize insights
• Use qualitative and quantitative signals to iterate and improve designs

Design Systems & Consistency

• Contribute to and evolve a scalable design system
• Ensure consistency across features and modules
• Reuse patterns effectively across workflows

Collaboration & Execution

• Partner closely with Product, Engineering, AI, and Solution teams
• Translate ambiguity into structured UX solutions and clear artifacts
• Participate in iterative design, reviews, and validation cycles

What We Are Looking For

Experience

• 6–8 years of experience in UX/UI design
• Experience designing B2B SaaS, platforms, or complex applications
• Strong portfolio demonstrating end-to-end problem solving

Skills & Capabilities

• Strong foundation in interaction design and information architecture
• Ability to design structured workflows and guided experiences
• Familiarity with technical or developer-facing products
• Proficiency in Figma (advanced components, prototyping)
• Ability to simplify complexity into intuitive UI patterns
• Exposure to AI/ML-powered products
• Experience with workflow tools, low-code platforms, or developer tools
• Ability to rapidly prototype ideas (low to high fidelity) to validate concepts
• Experience conducting user research and translating insights into design decisions

Mindset

• Strong ownership of features and user experience
• High bar for quality, clarity, and usability
• Comfortable working in ambiguity and fast-paced environments

What Success Looks Like

• Key workflows are intuitive and easy to navigate
• Reduced user friction in complex tasks
• Consistent UX patterns across the platform
• Faster onboarding and improved builder productivity

Why Join Us

• Opportunity to define UX for a category-defining AI platform
• Work on high-impact enterprise problems
• Be an AI-first Product Designer

AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

Our traders execute lightning-fast algorithmic strategies based on patterns in market behavior in over 150 markets worldwide. As a Quantitative Trader, you’ll draw upon your computer science, mathematical, and analytical abilities to develop complex and nimble code used to grow our business and increase the efficiency of the global financial markets. 

AlphaGrep seeks a Quantitative Trader to join our Bengaluru office and execute strategies based on market behavior. 

Responsibilities

• Identify, maintain, and enhance trading strategies and business opportunities for our market making Algorithmic trading teams
• Use systematic and data-driven approach to identify areas of improvement for existing strategies
• Take P&L responsibility and drive what new frameworks need to be developed by the team to enhance the P&L in respective markets.
• Financial model construction, back-testing, maintenance and improvement
• Monitor and evaluate how strategies interact with evolving market microstructure, identifying behavioural gaps, execution inefficiencies, and edge cases that impact performance
• Conduct opportunity landscape assessments across a diverse set of strategies to provide the team with clear, data-backed direction on where to prioritise focus and allocate resources
• Perform post-trade analysis and strategy attribution to distinguish between structural alpha decay, market regime changes, and implementation shortfalls
• Monitor real-time trading activity and intervene where necessary to manage drawdowns, exposure limits, and anomalous strategy behaviour, translating live observations and patterns into actionable insights to continuously refine and improve strategy performance
• Contribute to the continuous improvement of internal tooling, analytics platforms, and reporting infrastructure to support faster and more rigorous decision-making

Qualifications

• 2-4 years experience working in High Frequency Trading preferred
• Bachelors/Masters/PhD degree in related fields from top tier institute
• Experience with Data Analysis, Market Research and Data Modelling (a plus)
• Software development experience, preferably in C++, Python or R/Matlab
• The ability to manage multiple tasks in a fast-paced environment
• Strong communication skills
• A working knowledge of Linux/Unix

Why You Should Join Us 

• Great People. We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals
• Transparent Structure. Our employees know that we value their ideas and contributions
• Relaxed Environment. We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.
• Health & Wellness Programs. We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees

AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

Our traders execute lightning-fast algorithmic strategies based on patterns in market behavior in over 150 markets worldwide. As a Quantitative Trader, you’ll draw upon your computer science, mathematical, and analytical abilities to develop complex and nimble code used to grow our business and increase the efficiency of the global financial markets. 

AlphaGrep seeks a Quantitative Trader to join our Bengaluru office and execute strategies based on market behavior. 

Responsibilities

• Identify, maintain, and enhance trading strategies and business opportunities for our market making Algorithmic trading teams
• Use systematic and data-driven approach to identify areas of improvement for existing strategies
• Take P&L responsibility and drive what new frameworks need to be developed by the team to enhance the P&L in respective markets.
• Financial model construction, back-testing, maintenance and improvement
• Monitor and evaluate how strategies interact with evolving market microstructure, identifying behavioural gaps, execution inefficiencies, and edge cases that impact performance
• Conduct opportunity landscape assessments across a diverse set of strategies to provide the team with clear, data-backed direction on where to prioritise focus and allocate resources
• Perform post-trade analysis and strategy attribution to distinguish between structural alpha decay, market regime changes, and implementation shortfalls
• Monitor real-time trading activity and intervene where necessary to manage drawdowns, exposure limits, and anomalous strategy behaviour, translating live observations and patterns into actionable insights to continuously refine and improve strategy performance
• Contribute to the continuous improvement of internal tooling, analytics platforms, and reporting infrastructure to support faster and more rigorous decision-making

Qualifications

• Bachelors/Masters/PhD degree in related fields from Top tier institute
• Experience with Data Analysis, Market Research and Data Modelling (a plus)
• Software Development experience, preferably in C++, Python or R/Matlab
• The ability to manage multiple tasks in a fast-paced environment
• Strong communication skills
• A working knowledge of Linux/Unix

Why You Should Join Us 

• Great People. We’re curious engineers, mathematicians, statisticians and like to have fun while achieving our goals
• Transparent Structure. Our employees know that we value their ideas and contributions
• Relaxed Environment. We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.
• Health & Wellness Programs. We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees

About the Role :

1. Zero-to-One Product Building

• Own the end-to-end product lifecycle for Razorpay’s SEA payments stack — from discovery and scoping all the way through launch and iteration.
• Identify and validate local payment methods, regulatory requirements, and merchant pain points that differ materially from India — and translate those into product requirements.
• Make fast, high-quality decisions with incomplete information; ship MVPs, instrument them, learn, and iterate at startup speed.
• Balance scrappiness in the short term with architectural discipline for the long term — build features that work across Malaysia, Singapore, and beyond, not just in one region. 

1. Go-to-Market Ownership

• You are not handing off to Sales. You own the GTM narrative, the positioning, the launch sequencing, and the feedback loop from market to product.
• Partner with BD, Sales, and Marketing to design merchant onboarding journeys, pricing structures, and segment-specific value propositions.
• Define and track product-led growth metrics — activation rates, integration success rates, time-to-first-transaction — and own the conversion funnel end-to-end.
• Represent Razorpay at merchant conversations, industry events, and fintech forums across the SEA region.

1. Merchant Intelligence & Insight Generation

• Be relentlessly in the field. Run merchant interviews, shadow integrations, sit in on support escalations — build a ground-up picture of what’s broken and what’s working.
• Synthesise qualitative merchant signals with quantitative funnel data to produce insights that actually change roadmap priorities.
• Build a structured merchant advisory loop: a network of anchor merchants across verticals who you can call, test with, and learn from on an ongoing basis.
• Proactively surface competitive intelligence — know what Stripe, 2C2P, PayMongo, and local incumbents are doing before the business team does.

1. Scalable, Principled Systems Thinking

• Design for the region, not just one market. Every feature, API contract, and integration pattern you spec should be extensible globally.
• Work closely with platform and infrastructure teams in India to ensure SEA builds are first-class citizens of the Razorpay architecture — not bolted-on exceptions.
• Maintain clear documentation of product decisions, market-specific exceptions, and the reasoning behind trade-offs, so future team members can build on your work confidently.

1. AI-Native Product Development

• Use AI tools — including coding assistants like Claude Code and Cursor — to move 10x faster: write and review SQL queries, prototype lightweight internal tools, automate spec generation, and stress-test your own PRDs.
• Embed AI-first thinking into the products you build: identify where LLMs, ML models, or intelligent automation can leapfrog legacy fintech approaches in SEA.
• Champion a culture of AI fluency in the SEA team — set the example that PMs who can code (even a little) and leverage AI tools are the baseline, not the exception.

What we are looking for : 

Non-negotiables

• 6–9 years of product management experience, with at least 2 years in payments, fintech, or financial infrastructure.
• Prior zero-to-one or 0→1 experience — you have launched a product or entered a market from scratch, not just grown an existing one.
• Be based in Singapore (must already hold a valid right to work — EP / PR / citizen; Razorpay does not sponsor visas in Singapore) or Kuala Lumpur, or willing to relocate. This is an in-person role, with 100% work from office/ customer site.
• Deep familiarity with the SEA payments landscape: local wallets, real-time payment rails (e.g. PayNow, DuitNow, PromptPay), acquiring ecosystems, and regulatory environments.
• Extraordinary written and verbal communication — you write PRDs, data decks, and merchant emails that are equally crisp and compelling.

Strong signals

• You have worked at a high-growth startup or payments company in SEA (Grab Financial, Xendit, GoTo, Stripe, Nium, Adyen, or similar).
• You have a working knowledge of API design, SQL, or scripting — and you actively use AI tools (Claude, ChatGPT, Cursor, or equivalent) to accelerate your work.
• You have personally closed or heavily influenced a major merchant partnership or enterprise deal, not just supported one.
• You have managed a cross-functional squad across time zones, working closely with engineers and designers based in a different country.
• You have experience with payment gateway / aggregator products: checkout flows, settlement, reconciliation, dispute management, or acquiring.

Mindset markers

• You are comfortable with ambiguity and write your own brief. You do not wait for a roadmap to arrive in your inbox.
• You have a bias for action: prototype first, ask for permission later (within reason).
• You are merchant-obsessed in a practical way — you get on calls, ride-alongs, and WhatsApp groups to understand what’s really happening.
• You are comfortable being the only PM in the room — and excited about it.

CSQ326R35

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap 

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Minimum of 5+ years of relevant experience as a Data Scientist preferably working in a consulting role
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets

JOB TITLE

Software Engineer, Risk Technology

A Career with point72’S Technology Team          

As Point72 continues to reimagine the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting and discovering new ways to provide exceptional end user experience while embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our team while satisfying your own intellectual curiosity.

Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all the firm’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment.

What you’ll do

• Build a scalable reporting framework capable of processing terabytes of data for complex risk calculations
• Develop quantitative risk and performance analytics to proactively anticipate and address team requirement
• Innovate and improve our capabilities to deliver high quality products to our business partners
• Apply creative and unique solutions to solve complex problems

What’s Required

• Minimum of 5 years’ programming experience in Python and/or one of functional languages
• Strong understanding of equity factor models and their constructions and applications (e.g., MSCI Barra, Axioma, Bloomberg).
• Training in computer science, math, physics or related technical field.
• Programming experience in a quantitative environment with statistic models or complex aggregations.
• Awesome team player with excellent written and verbal communication skills with peers and clients.
• Problem solving skills with deep understanding of core computer science algorithms and data structures.
• Demonstrated track record and hands-on experience in financial instrument modeling, particularly within the equity space.
• Commitment to the highest ethical standards.

About point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.