Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
 

As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.

A day in the life (Responsibilities) 

• Support the implementation and day-to-day execution of the Second Line of Defense (2LOD) Model Risk Management (MRM) program for high-risk models, with particular focus on Fraud detection models (Transaction Fraud & Merchant Fraud) and Generative AI / LLM-based systems deployed across Toast.
• Assist in maintaining and enhancing the Model Risk Management framework, including policies, procedures, validation standards, governance documentation, templates, and best practices aligned with evolving regulatory and industry expectations.
• Enforce model lifecycle standards across development, implementation, use, monitoring, recalibration, change management, governance, and decommissioning, ensuring appropriate controls for traditional ML models as well as GenAI systems (e.g., RAG architectures, copilots, AI-assisted decision tools).
• Contribute to the development, risk-tiering, and ongoing maintenance of a comprehensive model inventory, including assessment of model impact, intrinsic risk (complexity and methodology), reliance on model outputs, and emerging AI-specific risks.
• Perform independent model validation reviews under the guidance of senior leadership, covering conceptual soundness, data integrity, model methodology, performance metrics (e.g., AUC, precision/recall, calibration), stability, bias/fairness risk, explainability, and monitoring frameworks. Produce validation reports and track issue remediation plans through closure.
• For Fraud models, evaluate class imbalance handling, threshold optimization, cost-sensitive performance metrics, operational overlays, rule-based controls, and portfolio-level impact analyses.
• For Generative AI systems, validate systems and evaluate risks related to hallucination, prompt injection, adversarial vulnerabilities, data privacy and leakage, model explainability limitations, bias, guardrails, output monitoring, jailbreak testing, regression testing, and human-in-the-loop controls.
• Partner with Data Science, Data Engineering, Product/Engineering, Information Security, Legal/Compliance, Finance, Credit Risk and Business teams to obtain documentation, perform effective challenge, conduct validation and oversee performance monitoring
• Prepare reports and executive materials summarizing model risk issues, validation findings, monitoring insights, and remediation status for leadership review, risk committees, audit committees, and internal audit engagements.
• Research and stay informed on industry developments in fraud analytics, machine learning, Generative AI governance, and regulatory guidance (e.g., SR 11-7, OCC 2011-12, NIST AI RMF). Propose enhancements to strengthen Toast’s Model Risk and AI Governance framework.
• Contribute to the development of model risk training materials and support delivery of training sessions to key stakeholders to enhance awareness of fraud model risk and AI-related risks.
• Support ad-hoc initiatives related to model risk governance, AI oversight, regulatory compliance, and enterprise risk management enhancements.

What you'll need to thrive (Requirements)

• Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline
• 5+ years of relevant industry experience in Model Risk Management, Model Validation, Data Science, or Machine Learning within fintech, banking, payments, technology, or consulting environments, with exposure to fraud analytics, credit risk, or AI/ML model governance.
• Strong understanding of machine learning methodologies and statistical foundations, including model development, validation techniques, performance evaluation, calibration, and stability analysis.
• Hands-on experience with fraud detection models (e.g., transaction monitoring, chargeback prediction, merchant risk scoring) and familiarity with concepts such as class imbalance handling, threshold optimization, precision/recall trade-offs, and cost-sensitive evaluation.
• Familiarity with Generative AI and LLM-based systems (e.g., RAG architectures, embeddings, prompt engineering, AI copilots) and awareness of associated risks such as hallucination, bias, prompt injection, and data leakage.
• Strong proficiency in Python and SQL; experience with data science and ML tools such as Spark, scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Familiarity with software engineering best practices (version control, CI/CD, testing frameworks, Airflow, AWS or cloud platforms) is a plus.
• Knowledge of model risk management frameworks and regulatory guidance (e.g., SR 11-7, OCC 2011-12) and familiarity with emerging AI governance frameworks (e.g., NIST AI RMF) is highly desirable.
• Ability to translate complex quantitative methodologies into clear business insights and effectively challenge first-line model development teams while maintaining strong cross-functional partnerships.
• Demonstrated critical thinking, analytical rigor, and structured problem-solving skills, with the ability to manage multiple priorities and deliver high-quality outputs under tight deadlines.
• Excellent written and verbal communication skills, including experience drafting formal validation reports, executive summaries, and committee-level materials.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

As a quant developer you’ll: 

• Develop tooling and systems to support our trading activities: pricing enhancements for derivatives, execution algos and infrastructure, trading product development, etc. 
• Promote strong collaboration within a cross functional team, including design, product management, traders, quants and trade operations
• Solve technical problems of high scope and complexity. 
• Be involved in some of the most innovative products within the industry, like correlation exotics, missing data vol pricing, etc. 

Job requirements

• A bachelors/masters degree in Computer Science, Mathematics or related field.
• Proficiency in python and preferably a low level language and basics of a UI framework.
• Familiarity with distributed systems.
• Familiarity with Derivative Products or Risk management frameworks.
• Strong understanding of data structures, algorithms, and design patterns.
• Strong problem solving skills
• Strong understanding of data structures, algorithms, and design patterns
• Strong communication skills and collaborative mindset with detail-oriented approach to operations
• Ability to move quickly and adapt to a fast moving environment
• Comfort working in a highly agile, intensively iterative software development process.
• Desire to work in an early stage product startups

Bonus Criteria

• Experience with exotic products
• Experience with numerical methods and optimization 
• Experience with React 

We are one of the fastest growing startups in FinTech. We are a digital asset brokerage delivering best-in-class pricing and execution capabilities for institutional traders and investors. Our vision is to grow the digital asset ecosystem 1000X with industry-leading prime brokerage solutions. 

Who is on the team? 

We are entrepreneurs. More than half of us have experience founding a company. We come from leading institutions including Google, LinkedIn, JUMP, Citadel, Goldman Sachs, Harvard Business School, Carnegie Mellon, IIT + more. We are backed by some of the best investors in the world including Accel Partners, Flybridge Capital, Lightspeed Venture Partners. 

Impact 

At FalconX, you’ll help make crypto assets a successful asset class. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to you for the best market prices and insights on the crypto industry. You will become the expert on crypto industry trends and market movements. With your experience, you will shape our company’s trading strategies according to our core values - speed, transparency and trust. 

Role Overview

As a Quant Developer, you will build and scale the core systems powering our trading and risk infrastructure. This role sits at the critical intersection of quantitative research, trading, and high-performance engineering. You will be responsible for the architectural integrity of our derivatives pricing engines and execution systems, ensuring that complex mathematical models are translated into robust, production-grade code.

You will work directly with Traders and Quants to enable efficient pricing, execution, and real-time risk management across global markets.

What You’ll Do

• High-Performance Engineering: Design and implement low-latency systems for real-time trading and derivative pricing.

• Pricing & Analytics: Build and enhance pricing libraries for complex and exotic instruments, including volatility modeling and correlation structures.

• Execution Systems: Develop sophisticated execution algorithms and optimize order routing and the full trade lifecycle.

• Model Implementation: Collaborate with Quants to translate advanced mathematical models into scalable, numerically stable code.

• Risk & Attribution: Contribute to core risk systems, focusing on real-time metrics, PnL attribution, and complex scenario analysis.

• Data Infrastructure: Improve high-throughput data pipelines for large-scale market data and historical backtesting.

• Complex Problem Solving: Solve challenges across numerical methods, optimization, and distributed systems in a high-stakes environment.

What We’re Looking For

• Education: Degree in Computer Science, Mathematics, Physics, or a related quantitative field.

• Technical Stack: Expert-level Python skills; professional experience with a performance-critical language (C++, Rust, or Java) is highly preferred.

• CS Fundamentals: A deep understanding of data structures, algorithms, and high-performance system design.

• Quantitative Foundation: Solid grasp of probability, statistics, and numerical methods (e.g., Monte Carlo, Finite Difference).

• Domain Expertise: Practical familiarity with derivatives pricing (Options, Futures, Swaps) and financial market mechanics.

• Systems Experience: Proven ability to build distributed systems and data-intensive applications that handle high concurrency.

• Engineering Rigor: Ability to write clean, efficient, and production-quality code with a focus on testing and numerical accuracy.

• Soft Skills: A first-principles thinker and effective communicator who thrives in fast-paced, iterative trading environments.

Nice to Have

• Experience with exotic derivatives (correlation products, structured products).

• Exposure to advanced volatility modeling and market microstructure.

• Hands-on experience with numerical optimization and PDE solvers.

• Prior experience in Crypto, HFT, or low-latency trading environments.

• Familiarity with frontend tools (React) for building internal trading and risk dashboards.
  
  
  

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    

Location: Bangalore, India

Shift Timing: 5:30 PM- 2:30 AM

About You:

In this role, you will be a Quoting Analyst II who will be a  part of the Global Renewal Team. This role will be focused on ensuring all upcoming renewals from the installed base are being quoted accurately with the intent to align expiration dates and streamline the renewal process. This individual will assist the Renewals team review and report any refresh/upgrade opportunities that impact the installed base. Your ability to drive business process, manage heavy transaction workloads with a keen attention to detail will enable the team to secure more revenue prior to the maintenance/subscription expiration date ultimately removing the risk of reducing the contract value. Focusing on accuracy upfront will allow for predictability as we look to secure the renewals.

What we’re looking for:

• You are a Quoting Analyst II  with 4+ years of experience in Renewals Quoting Operations supporting the renewal reps in their day-to-day activities by picking up and performing more administrative tasks and helping to coordinate activity between different functions. You will be instrumental in scaling our renewal business and achieving our ambitious growth targets.

What you will Do:

• Responsible for maximizing retention by partnering with Renewal Reps to ensure renewal quotes are validated & sent out early.
• Ensure the data is accurate, including all changes from the prior renewal, price increase, and accuracy of all SKU data and contractual terms that may impact the renewal amount.
• Manage a pipeline of upcoming renewals and validate each opportunity/quote in your assigned region.
• Accountable for reviewing and checking accuracy with upgrades executed by the field and Inside Account teams
• Identify the potential Flip/Refresh/Upgrades opportunities early in the renewal cycle.
• Extract and analyze large data sets to deliver meaningful insights around Adoption, Retention and expansion, and proactively report on trends and suggestions for improvement
• Extract and analyze large data sets to deliver meaningful insights around retention and expansion, and proactively report on trends and suggestions for improvement.

Desired Skills & Experience:

• 3-8 years of hands-on Renewal Operations, Revenue Operations or Quote to Cash Process.
• Solid Salesforce aptitude
• Ability to Organize and Prioritize activities
• Strong oral and written communication skills
• Organizational and follow up skills, problem solving and analytical skills
• Inventory/installed base management experience is a plus
• Ability to take initiative, work flexibly, and adhere to priorities with minimal direct supervision.

#LI-DR2

Location: Bangalore

Shift: EST (5:30 P.M IST- 2:30 A.M IST)

What we’re looking for:

 You are an aspiring Business Intelligence, Data & Analytics Professional with 6+ years of experience in supporting the business in delivering high quality strategic and tactical analysis. You will have experience in analyzing complex business problems using data and provide actionable insights to our customer facing teams. You will have experience in identifying and interpreting trends and patterns in datasets to attribute key business drivers. You will have strong knowledge of SQL, CRM (Salesforce), Clari, Excel, Business Intelligence systems such as Tableau and Power BI. If you want to be part of a growing business, have a strong interest in learning and implementing innovative solutions to business challenges, and are passionate about winning, get in touch with us to explore the exciting opportunity at Rubrik. 

Position Overview:

As a Business Analyst you will be given the opportunity to tackle challenges impacting the growth of Rubrik’s growing subscription renewals business. This team is responsible for providing forecast clarity, scoring renewal growth and retention likelihood, customer analytics, and developing retention action plans working closely and partnering with Sales & Renewal Ops.

Key Responsibilities:

• Perform weekly, monthly and quarterly opportunity pipeline analysis, data validation and identify gaps and actions required
• Identify process automation and improvement opportunities and work with cross-functional teams to drive these initiatives
• Communicate regularly on business/team performance, making recommendations based on analysis of key performance areas
• Act on behalf of the leadership (e.g. drive global churn forecasting, identify direct and channel renewal improvements, forecasting mechanics evolution to incorporate customer health insights)
• Support the development and presentation of the business outcomes to stakeholders with a view to assisting them to drive performance in their areas (e.g. churn/upsell attribution etc)
• Provide critical business insights to Customer Success and Sales leadership based on business acumen and data analysis, be able to identify issues, recommend action plans and execute.
• Drive culture of continuous improvement on performance, process, automation, and data accuracy
• Generate regular and ad-hoc business analysis for Renewals and Sales Leadership to monitor performance across a range of key business drivers and Renewals Team performance, including direct and partner renewals
• Compare business performance against defined KPIs to identify trends and share key learnings and drive new operational programs
• Analyze data to determine if the customer is “At-Risk” and ensure early engagement.
• Analyze customer data to reduce the churn and identify the root cause of churn

Basic Qualifications

• 6+ years overall professional experience.
• A Bachelor's Degree focused in an analytically rigorous field of study is preferred, a MBA is a huge plus.
• Self-starter with outstanding problem-solving skills
• Proven track record in juggling through multiple projects and deadlines yet driving them to completion
• Have strong business acumen, excellent collaboration and stellar communication.
• Experience with Data Analytics and Modelling and ability to work with a degree of independence on data analysis.
• Excellent time management skills and ability to manage multiple priorities.
• Knowledge of Rubrik products and services preferable.

Rubrik is one of the fastest growing companies in Silicon Valley, revolutionizing data protection and management in the emerging multi-cloud world. We are the leader in cloud data management, delivering a single platform to manage and protect data in the cloud, at the edge, and on-premises. Enterprises choose Rubrik to simplify backup and recovery, accelerate cloud adoption, enable automation at scale, and secure against cyberthreats. Rubrik has raised over $553 million in venture funding, most recently at a valuation of $3.3 billion. We’ve been recognized as a Forbes Cloud 100 Company two years in a row and as a LinkedIn Top 10 startup. 

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

#LI-DR2

An overview of this role

As a Senior Data Analyst on GitLab's Enterprise Analytics team, you'll support some of GitLab's most visible go-to-market and executive reporting. You'll work closely with Sales, Marketing, Revenue Operations, Finance, and analytics partners to deliver company-level reports, go-to-market performance views, and lifecycle reporting that leaders use to run the business. Working in Snowflake, dbt, Tableau, and VS Code, you'll turn ambiguous business questions into trusted, well-documented data products that serve as a single source of truth for performance and targets versus actuals. You'll also help improve our Enterprise Analytics handbook and core data foundations so strategy, processes, and metric definitions are clear and usable in our all-remote, values-driven environment.

What you'll do

• Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion.
• Design performant, reusable Tableau Cloud data sources and help shape the underlying dbt models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns.
• Collaborate with Analytics Engineering and Data Engineering to improve dbt models that support reliable, scalable reporting for business stakeholders.
• Document metric logic, data lineage, and Tableau usage patterns in the handbook so stakeholders can understand how data products are built and used.
• Implement and monitor data quality checks and reconciliations across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting.
• Partner with Revenue Operations, Finance, and go-to-market analysts and stakeholders to define questions, align on metric definitions and pacing logic, and deliver dashboards and deep-dive analyses.
• Present insights in a clear, actionable way for both operational and executive audiences so teams can make better decisions faster.
• Share best practices in SQL, data visualization, and go-to-market analytics, including code reviews and pairing support on high-priority dashboards.

What you'll bring

• Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for go-to-market and executive stakeholders.
• Advanced SQL skills working with large, complex data models, preferably in Snowflake, including joining many tables and building reusable queries and views.
• Proven experience building executive-facing dashboards in Tableau or a similar business intelligence tool, including data source design, performance tuning, and visualization best practices.
• Deep understanding of go-to-market concepts such as new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics.
• Strong command of GenAI tools for daily use in your work and the judgment to use them effectively to improve speed and quality.
• Ability to communicate complex analyses in a clear, concise way through presentations, written narratives, and data visualizations for both technical and non-technical audiences.
• Comfort working in an all-remote, asynchronous environment, with a high level of ownership and the ability to drive work forward independently.
• Alignment with GitLab's values and openness to applying transferable skills from related analytics, revenue operations, or business intelligence roles.
• Experience with dbt and modern analytics engineering patterns, including trusted marts, certified sources, and documented lineage, is helpful but not required.

About the team

The Enterprise Analytics team is a centralized, cross-functional partner to GitLab's go-to-market organization and executive leadership. The team turns data from systems such as Snowflake, Salesforce, GitLab, and other business platforms into actionable insights and self-service reporting that support operating reviews and strategic decision-making. You'll join a fully remote, globally distributed team that collaborates asynchronously to define shared metrics and deliver reporting that leaders can trust. We document our strategy and processes in the handbook so stakeholders can use data more independently. The team is currently focused on scaling company-level scorecards, new-customer and first-order reporting, and go-to-market performance analytics across motions.

We’re looking for a highly motivated AML Risk Analyst who will perform risk analyses and investigations, draw conclusions based on data and user behavior, and clearly communicate the findings. You will join a dynamic and fast-paced environment, and cooperate with other teams and departments to support the monitoring processes of the risk department. The ideal candidate will have a proven track record in transaction/payment monitoring, Anti Money Laundering (AML) & Counter-Terrorist Financing (CTF), or related fields.  

 What’s the job?  

• Perform risk investigations and analysis  
• Draw conclusions based on multiple data sets and user behavior  
• Conduct research and provide data-driven analytical/risk insights  
• Communicate the review findings, make risk-related decisions, and act upon them  
• Work closely with other teams, groups, and departments to support the development of risk-related tools, processes, and products to improve monitoring mechanisms  

Have you done this kind of stuff?  

• 3 years of experience as an analyst in Risk, Compliance or equivalent domains   
• Proven ability to communicate effectively in English (both written and verbal) - another language is a plus!   
• Experience with analysis/investigations to identify trends and patterns  
• Experience with open-source investigations  
• Possesses a strong command of Excel and other MS Office Suite tools (Outlook, Word, etc.)  
• Bachelor’s degree  
• Data Orientation- Ability to work with SQL/BQ/data tools 
• Experience with AML monitoring/investigations to identify fraudulent/AML behaviour   

Does this sound like you?   

• Proven critical thinking and problem-solving skills  
• Flexible attitude and ability to cope with changing requirements   
• A team player with strong cross-team collaboration skills  
• Highly motivated with a can-do approach, committed to getting things right  
• Pay attention to small details and yet see the big picture   

#LI-PB1

We’re looking for someone motivated, a self-starter who is able to learn quickly in a fast-paced environment, and to be able to derive conclusions and decisions from a large set of data, someone with strong communication skills, attention to detail and an overall commitment to excellence.

What’s the job?

• Assess risk in alerts initiated within the company, and file cases to support our global compliance needs
• Communicate with internal functions on a daily basis
• Implement operational risk policy and procedures in line with regulations

Have you done this kind of stuff?

• High level of English – Must
• Entrepreneur and proactive person with the ability to work independently
• A team player with strong cross-group collaboration
• Advanced deduction skills
• Solid analytical skills
• Basic knowledge of Excel
• SQL – advantage
• Flexible attitude and ability to cope with changing requirements
• Proven critical and problem-solving skills
• Proven ability to communicate effectively

Toast Capital provides fast, flexible funding to restaurants and hospitality businesses on the Toast platform. By leveraging Toast’s rich operational and transaction data, Toast Capital delivers financing that is aligned with how restaurants actually run.

As Toast Capital scales, we are investing in modernizing our credit risk organization through better analytics, automation, and AI-enabled workflows. Our goal is to empower risk analysts with tools that improve decision quality, reduce manual work, and allow the team to scale efficiently.

The Fintech Risk team at Toast is accelerating the adoption of AI to transform how we operate. We are seeking a Lead Analyst to design and deploy intelligent, AI-powered workflows for Toast Capital’s credit risk function.

This role sits at the intersection of credit risk, analytics, and applied AI. You will identify opportunities to improve underwriting, portfolio monitoring, and risk operations by designing and implementing internal AI tools such as copilots, assistants, and automated analytical workflows. The ideal candidate combines strong credit risk intuition, analytical problem-solving, and technical curiosity about AI tools and automation. You should be excited about turning manual analytical processes into scalable systems that allow risk teams to operate faster and more consistently.

A day in the life (Responsibilities)

• Identify high-impact opportunities to improve credit risk workflows using AI across underwriting, portfolio monitoring, policy interpretation, and collections
• Design and deploy internal AI copilots that help analysts draft credit memos, summarize merchant performance, and interpret key risk signals
• Build tools that automatically generate risk narratives, portfolio commentary, and merchant-level performance summaries
• Partner with Engineering, Data Science, and Product to implement AI-powered tools using structured data, internal APIs, and secure LLM platforms
• Develop prompt frameworks and workflows that combine deterministic risk metrics with AI-generated insights while maintaining explainability and human oversight
• Conduct portfolio analyses to identify merchant performance trends and emerging risk signals
• Redesign risk processes to reduce manual work, automate recurring analysis, and increase analyst productivity
• Collaborate with Credit Risk, Compliance, Engineering and Operations to responsibly deploy and scale AI-enabled workflows

What you'll need to thrive (Requirements)

• 5+ years of experience applying analytics, automation, or AI to improve risk or operational workflows in fintech, financial services, or technology
• Experience applying AI or LLM tools to improve analytical workflows, operational processes, or decision support
• Strong analytical skills with the ability to translate portfolio or transactional data into actionable insights
• Advanced proficiency in SQL and Python; experience building dashboards or automated analytics solutions (Looker/Tableau/Hex or similar)
• Familiarity with prompt design, AI-assisted workflows, or automation frameworks integrating structured data with LLM outputs
• Strong communication skills and ability to influence cross-functional stakeholders across Risk, Engineering, Data Science, and Product
• Bachelors degree is mandatory 

Why this role matters:

The Fraud Investigation Analyst is a key position in Vonage’s fight against fraud by protecting our customers from abuse, taking down fraudsters and ensuring the profitability of the company. The duties of the role include identifying and qualifying new strategic anti-fraud initiatives to detect and prevent fraudulent transactions and behaviour. You will be confident in proactively initiating new investigations, evidence gathering, communicating effectively with other areas of the business to recover losses, and obtaining support from product and engineering teams to deliver the improvements and technologies required to detect and prevent these problems up front.

Schedule (MX/IN);

• Required to work one day each weekend (Saturday or Sunday) as part of a fixed schedule
• Standard workweek: Tuesday to Saturday, or Sunday to Thursday 
• Flexibility to adjust hours occasionally to support urgent fraud investigations or global team collaboration (in rare circumstance this may include night shifts)

Schedule (PL);

• Required to work a fixed schedule from Tuesday to Saturday
• Flexibility to adjust hours occasionally to support urgent fraud investigations or global team collaboration (in rare circumstance this may include night shifts)

Your key responsibilities:

• Proactively detect, investigate and prioritize fraud incidents across Vonage’s communication platforms
• Monitor customer accounts and traffic usage to identity anomalies, suspicious behavior, and emerging fraud patterns 
• Conduct deep dive analysis and make actionable recommendations to support fraud prevention, detection, and mitigation strategies 
• Research and validate suspected cases of traffic abuse, account compromise, or policy violations 
• Collaborate with cross-functional teams (products, engineering, compliance, customer support) to strengthen fraud controls and prevent recurrence 
• Provide timely incident response for urgent fraud activity, ensuring rapid containment and effective communication to stakeholders 
• Sharing fraud insights and trends with leadership to inform strategy and improve customer trust 

What you'll bring

Required:

• 5+ years of experience in telecommunications fraud investigation (SMS, Voice) in telecom
• Degree-level education or equivalent professional experience in fraud, risk, or data-related fields 
• Strong expertise in fraud prevention methodologies and regulatory practices, including AML, KYC, and transaction monitoring 
• Hands-on experience with fraud detection platforms, SQL, Excel, and data analytics tools; familiarity with AI/ML-based detection solutions  
• Proven track record of analyzing large, complex datasets and delivering actionable recommendations
• Strong organizational and multitasking skills with excellent attention to detail
• Effective stakeholder management, with the ability to influence cross-functionals partners and present findings clearly to both technical and business audiences 
• Experience working in distributed, global teams and adapting to a dynamic, fast-paced environment  
• Strong written and verbal communication skills
• Ability to work one day each weekend (Saturday or Sunday), as contractually agreed 

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

About Us

RedEnvelope is on a mission to become the global backbone for cross-border FX transactions. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and they're scaling at a remarkable pace. We're backed by Accel, NFX, Accomplice and other top-tier investors.

We are seeking a talented and experienced Compliance Analyst to join our fast growing compliance team. You will work closely with our operations and business development teams to ensure regulatory compliance, mitigate risks, and maintain the integrity of our business practices across all operations. 

Responsibilities

• Regulatory Compliance: Stay updated on applicable federal, state, and local laws and regulations related to the fintech and crypto industry. Monitor regulatory changes and assess their impact on the organization. Assist with regulatory reporting and filing requirements
• Risk Assessment: Identify potential compliance risks and develop mitigation strategies.
• Policy Development: Create and maintain compliance policies and procedures.
• Monitoring and Auditing: Conduct regular compliance audits and monitoring activities.
• Recordkeeping: Maintain accurate and complete compliance records.
• Training: Educate employees on compliance policies and procedures.
• Reporting: Prepare compliance reports for management and regulatory agencies.
• Issue Resolution: Investigate and resolve compliance issues in a timely manner.
• Project Support: Collaborate with cross-functional teams on compliance-related projects.
• KYB and Transaction Monitoring: Conduct KYC document reviews and identify deficiencies. Monitor and analyze transactional data for suspicious activity.
• Compliance Program Management: Assist in the development, implementation, and maintenance of compliance programs. Conduct compliance testing and audits.

Qualifications

• Bachelor's degree in finance, law, accounting, or related field.
• 4-7 years of relevant experience in regulatory compliance, with strong focus on AML/KYC 
• Strong understanding of financial regulations and compliance frameworks.
• Excellent analytical and problem-solving skills.
• Attention to detail and accuracy.
• Strong organizational and time management skills.
• Ability to work independently and as part of a team.
• Experience in crypto is required
• In-depth knowledge of crypto regulatory requirements in the US, Europe, and Dubai
• Proven experience with crypto-specific AML/KYC procedures and blockchain analytics tools
• Experience in drafting Suspicious Transaction Reports (STRs) and articulating grounds for suspicion
• Experience working with third-party AML/ KYC service providers
• Experience in the fintech industry is a plus.
• Experience in startups is a plus

What We Offer

• Competitive salary and benefits package.
• Opportunity to work in a dynamic and fast-paced environment.
• Collaborative and supportive work culture.
• Equity in a rapidly growing company.

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

The Community You Will Join: 

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics.

The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimisation of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritisation of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing.

We are looking for a hands-on lead advanced analyst  who has demonstrated success in building an analytics team with functional expertise in building analytical solutions. Be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization.

The Difference You Will Make:

• Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.  
• Drive day to day product analytics and build scalable analytical solutions
• Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience.

A Typical Day: 

• Owning the product analytics roadmap, prioritisation & delivery of solutions in the Contact Center Product space. 
• Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines.
• Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness
• Collaborate with engineering to define scalable logging and ensure observability across agentic and LLM workflows.
• Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimisations.
• Translate insights into strategic recommendations for senior leaders; shape product priorities through data.
• Hire, mentor and up-level team capability in AI analytics, experiment best practices and storytelling.
  
  

Your Expertise:

• Min 8 or more years in industry experience and a degree (Masters or  PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
• Strong expertise in Python, SQL, A/B testing platforms and best practices
• Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc
• Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy).
• Data engineering foundations, including ability to work with data engineering teams on pipeline design, metric computation jobs, data model changes, and maintaining reliable end-to-end metric systems
• Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices
• Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.
• Experience designing and building metrics, from conception to building prototypes with data pipelines
• Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions would be a plus
• Contact center domain and market place domain knowledge would be a plus

Our Commitment To Inclusion & Belonging: 

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Job Description-

Key Responsibilities-

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

We are seeking a highly motivated Senior Corporate Security Analyst to join Toast’s Corporate Security team in Bangalore. This role is focused on hands-on corporate security execution and risk reduction across endpoints, identities, SaaS platforms, vendors, and data — not SOC monitoring or shift-based operations.

The ideal candidate has strong experience working in enterprise corporate security environments, understands how to balance security controls with business needs, and is comfortable partnering with IT, GRC, Procurement, Legal, and Engineering teams. You will own multiple CorpSec programs end-to-end and act as a senior individual contributor, while mentoring junior analysts and helping scale security practices across the organization.

A Day in Life (Responsibilities)

1. Corporate Security Execution & Risk Management

• Own and operate key corporate security controls across endpoint, SaaS, identity, vendor, and data security.
• Perform security risk assessments for business initiatives and translate findings into actionable remediation plans.
• Act as a security advisor to internal stakeholders, focusing on practical risk reduction.

2. Endpoint & SaaS Security

• Lead day-to-day security oversight for corporate endpoints and SaaS applications, including:
• EDR/XDR, device hardening, encryption, MDM/UEM
• Shadow IT discovery and SaaS risk reviews
• Partner with IT Operations and Governance teams to resolve alerts, misconfigurations, and policy gaps.
• Conduct periodic reviews of high-risk applications, browser extensions, and endpoint findings.

3. Vulnerability Management (Corporate Scope)

• Drive vulnerability management for corporate endpoints and internal business systems.
• Triage and prioritize vulnerabilities based on business impact and exploitability.
• Track remediation with IT teams and validate closure.

4. Identity & Access Management (IAM)

• Support enterprise IAM governance, including:
• Joiner / mover / leaver processes
• Access reviews and least-privilege enforcement
• MFA, SSO, device trust, and privileged access (PAM)
• Assist in access investigations and high-risk access exception reviews.

5. Vendor & Third-Party Security

• Conduct vendor security assessments for onboarding and periodic reviews.
• Review SOC 2 reports, security questionnaires, and supporting evidence.
• Track vendor risks, remediation actions, and re-assessments.
• Partner with Procurement, Legal, and GRC teams to ensure security requirements are met.

6. Data Protection & DLP

• Support data protection initiatives across Google Workspace, Slack, and other collaboration platforms.
• Assist with the design, tuning, and enforcement of DLP controls.
• Participate in investigations related to data exposure or misuse.

7. Security Awareness & Process Improvement

• Support security awareness training and phishing simulation programs.
• Maintain CorpSec policies, SOPs, and runbooks.
• Identify opportunities to improve efficiency through automation and tooling.

8. Mentorship & Ownership

• Mentor P2-level security analysts and provide technical guidance.
• Take ownership of CorpSec initiatives and deliver them end-to-end with minimal supervision.

9. Contractor Security Oversight

• Establish and enforce contractor access standards, ensuring strict security controls during onboarding and offboarding.
• Conduct periodic contractor access and activity audits, identifying and mitigating associated risks.

Work Mode: This role follows a hybrid work model, requiring a minimum of 2 days per week in the office.

What We’re Looking For

Required

• 6–10 years of experience in information security with strong corporate security exposure.
• Hands-on experience with:
• Endpoint security and EDR tools (e.g., CrowdStrike)
• Vendor security assessments and SOC 2 reviews
• IAM concepts (Okta, PAM, access reviews)
• SaaS and Shadow IT security
• Strong understanding of security frameworks (NIST CSF, ISO 27001, CIS Controls).
• Experience working closely with IT and governance teams.
• Strong written and verbal communication skills.

Preferred

• Experience with Google Workspace security and DLP.
• Exposure to GRC processes or platforms (ServiceNow GRC, OneTrust).
• Bachelor's degree in Computer Science, Information Security, or a related field; Master's degree preferred.
• Proven experience in developing and implementing security policies, procedures, and frameworks.Demonstrated experience in developing and delivering security awareness training and phishing exercises.
• Possess excellent skills and experience in leveraging AI tools for threat detection, incident response, vulnerability management, and other security functions.
• Familiarity with Google Workspace security features.
• Proficiency with security tools such as Reco.AI, Torq, Splunk, DataDog, bug bounty platforms, Okta Device Trust, BeyondTrust, BeyondCorp, and other SIEM, SOAR and Security tools commonly used in the market.
• Ability to work autonomously and prioritize multiple tasks in a fast-paced environment.
• Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical audiences. Proven ability to collaborate effectively with cross-functional teams.
• Quick learner and adaptable to new security tools and technologies as they are procured and implemented.
• Ability to adapt to environments, understand requirements, and actively collaborate within the team, with other teams, and with vendors.
• Provide technical guidance and mentorship to P2 security analysts, fostering their professional growth and ensuring alignment with corporate security objectives.
• Take initiative in leading projects and driving security initiatives.
• Relevant security certifications are a plus.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

This role will serve as core member of a data engineering team assigned to one of WPP’s major global clients, who will be maintaining and expanding upon a global data warehouse, automated reports, and data provisioning applications to ensure that media and marketing stakeholders the world will have access to the right data and insights to inform their marketing decisions.  

WPP has developed the Measure platform, a stack of standardized technologies (Adverity for collection, DBT for modelling, Google Cloud Platform for orchestration, computing, and storage, and Microsoft PowerBI for visualization) and templates to speed the deployment and simplify support for automated reporting and analytics tools.

The team’s primary responsibility is to build and maintain a global Measure-based reporting solution, leveraging existing templates where applicable and building custom collectors, data models, cloud architectures, and/or visualizations when required. The team will automate the collection and transformation of disparate marketing data into a single source of truth, continually improving it to incorporate new data sources, and to derive new insights, to support ever-evolving business demands.

As an Senior Data Engineer, your primary responsibilities will include deploying and troubleshooting standardized Adverity data collection templates,  QAing landed versus source data using self-developed scripts and manual processes, gathering platform and ad account parameters from upstream stakeholders, working within and contributing to the team building the data warehousing solution,  adhering to technical standards and best practices, and contributing to the documentation of custom work.

In doing so you will exhibit a foundational understanding of cloud technology and key data engineering skills and knowledge to help your team in this fast-evolving and in-demand industry.

Some of the things we’d like you to do:

• Deploy data collectors in Adverity to gather data from media, agency system, and other sources

• Development and maintain data quality checks and procedures, helping stakeholders overcome data issues before they impact the quality of the reporting solution

• Support the translation of user requirements and business needs into technical specifications
• Be a proficient user of Google Cloud Platform and associated technologies, ensuring your work incorporates industry best practice
• Monitor automated jobs, troubleshooting data issues as-and-when they arise
• Support other members of the team responsible for “last mile” transformation and visualization of data within Google Data Studio reports and dashboards
• Serve as a technical and professional leader for junior staff
• Provide hands-on support to users of reporting solutions, helping the wider team triage and respond to user queries in a timely manner
• Attending internal stakeholder meetings, presenting your solutions, and providing updates on your work.
• Support the development strong working relationships with third-party data providers that we rely on for access to necessary data.

A bit about yourself:

Key Responsibilities:

• Design, develop, and optimize enterprise ETL/ELT pipelines utilizing Azure Data Factory, Azure Data Lake Storage, and advanced serverless technologies—ensuring cross-platform scalability, security, and reliability.
• Implement highly efficient, complex SQL solutions—including advanced query optimization, partitioning, and indexing—to power sophisticated analytics models and enable real-time data processing.
• Lead the development and integration of robust automation frameworks using Python, and API orchestration, introducing innovative solutions to streamline the entire data lifecycle and maximize operational efficiency.
• Exercise full ownership of production pipeline reliability; proactively identify and resolve critical issues through deep root-cause analysis, and institute resilient, long-term stability measures for continuous uptime.
• Establish, refine, and enforce rigorous coding and architectural standards through comprehensive code reviews and technical audits, setting quality benchmarks for the offshore engineering team.
• Champion best-in-class documentation, data lineage, and automated CI/CD deployment practices, ensuring transparency, auditability, and governance across all data assets.
• Demonstrate expert-level support for analytics and media teams, translating business challenges into scalable, high-performance technical solutions, leveraging deep Azure and SQL expertise.

Senior-Level Expectations:

• Act as the organization’s subject matter expert (SME) in end-to-end pipeline architecture, orchestration frameworks, schema evolution, and advanced Azure Data Factory strategies.
• Lead modernization initiatives across the organization, championing the adoption of technologies such as Databricks, DBT and advanced DevOps practices to future-proof the data platform and enable rapid innovation.
• Ensure strict adherence to SLAs and regulatory compliance through advanced monitoring, proactive risk mitigation, and continuous improvement of operational processes.

Required Skills

• 3-4 years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP).
• Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines, including deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation.
• Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.

#LI-GOC

We’re looking for world-class front-office Financial Analysts to join our mission at Arcana—a next-generation portfolio intelligence company powering hedge funds, and asset managers. This role isn’t your typical modeling-and-memos analyst gig. Our analysts work hand-in-hand with product, engineering, and data science to build the future of institutional-grade finance software. Work experience in buy-side financial institutions or top-tier investment banks, and strong Excel skills are a necessity.

If you’re passionate about numbers but thrive at the intersection of finance, technology, and quantitative thinking, this is the role for you.

Responsibilities:

• Presentation and analysis of data utilizing charts, tables, and Excel.
• Analyzing financial reports, market, and asset performance to draw useful takeaways in the frame of an investor.
• Interpreting information about yield, price, risk, stability, and other factors that contribute to a financial asset's investment merits.
• Deep understanding of quantitative risk modeling to innovate and improve upon our commercial risk model & portfolio analytics.
• Conducting unit economic and financial analysis.
• Working closely with the data engineering and data science team to interpret, check, and source relevant metrics and data.

Requirements:

• Top-tier pedigree: Bachelor’s or Master's degree with honors (8.0+ GPA mandatory). Ideally from an IIT/IIM/top global university. MBA/CFA/FRM is a strong plus.
• 2+ years of experience in a front-office financial role (typically, Investment Banking, or Investment Due Diligence).
• Must have strong communication skills (verbal and written).
• Methodical, concise, and accurate work style, with strong attention to detail and deadlines.
• Able to quickly learn and apply technical understanding to solve problems.
• An aptitude and interest in quantitative risk management, information technology, and the latest trends.
• Conscientious and focused on objectives with an attitude, and with written and verbal communication.
• Sound experience in data analysis, validation, and presentation of results (MS Excel).

Preferred locations: Remote, Bangalore, Mumbai, Delhi, or Coimbatore are a plus.

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on—and we’re hiring analysts who want to help drive that transformation.

We are looking for a Data Analyst to work with large-scale financial datasets, ensure high data quality, and deliver actionable insights through dashboards and reports.
The role focuses on building and maintaining robust data quality frameworks and collaborating closely with internal and external stakeholders at scale.

Responsibilities

• Manage and analyze large volumes of daily financial data
• Design, implement, and continuously improve data quality frameworks
• Perform data validation, reconciliation, and monitoring
• Resolve Level 1 & Level 2 data quality issues; escalate complex issues to Data Science teams
• Use SQL and Python for data analysis, scripting, and development
• Build and maintain dashboards and reports for business insights
• Work with large-scale datasets (100TB+) covering 100K+ global companies
• Apply statistical techniques to monitor data accuracy and anomalies
• Collaborate with cross-functional teams and share insights with stakeholders

Requirements

• Strong understanding of data quality, validation, and reconciliation concepts
• Advanced SQL skills (complex queries, joins, performance optimization)
• Proficiency in Python for data analysis and scripting
• Experience with dashboarding and reporting tools
• Ability to work in large-scale / big data environments
• Working knowledge of statistics for data monitoring and validation
• Strong communication and stakeholder management skills
• Experience handling data from multiple and diverse sources
  

Qualifications

• Bachelor’s degree in BCA / MCA / Engineering
• CGPA: 8+
• Prior experience in Finance / FinTech preferred
• Exposure to financial datasets is a plus