POSITION SUMMARY

Join us in a high-impact role to drive growth at EarnIn. This function plays a critical role in how we use analytics to inform our business & product priorities, drive data-backed experiments, deliver value across the consumer lifecycle, and measure performance to optimize future decisions. You will work closely with our product and engineering teams to establish end-to-end measurement & reporting, implement rigorous testing methodologies, and drive strategic analyses.

This position will be hybrid, based in our Bengaluru office (HSR Layout), as part of our expanding site, with two days a week required in the office. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.  

WHAT YOU'LL DO

• Drive strategic analyses that identify key opportunities to improve the core product experience for EarnIn’s customers
• Partner with the Product and Engineering teams to design and run experiments 
• Upgrade EarnIn’s experimentation stack by implementing tools such as Sequential Testing, Bayesian testing, and CUPED
• Partner with the Machine Learning Engineering team to design and build models that form the core of EarnIn’s core product
• Monitor & proactively surface/troubleshoot any problems across the key business metrics & drive resolution of these issues

WHAT WE'RE LOOKING FOR 

• 7+ years of experience in product analytics/data science in a B2C role
• Product sense and intuition to drive impact on the business and customer experience
• Experience designing, running, and interpreting experiments. 
• Expert skillset in SQL and experience with Python or R
• Practical knowledge of state-of-the-art experimentation tools such as Sequential Testing, Champion/Challenger, CUPED, etc.
• Practical knowledge of machine learning techniques
• Ability to extract insights from large data sets & seamlessly translate into actionable recommendations across the consumer journey
• Ability to establish and maintain excellent processes while allowing for creative thinking and flexibility in ambiguous situations
• Curiosity and passion for deeply understanding analytical problems and translating this to stakeholders
• Experience in Fintech is a bonus

#LI-Hybrid

Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue).  Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players..

What You’ll Do 

• Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports
• Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game
• Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis
• Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting
• Design and implement advanced statistical testing for specific problem-solving needs(e.g. A/B testing)

What We’re Looking For 

• B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
• 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis
• 2+ years’ experience using SQL/Python, including complex queries from multiple data sources
• 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system
• Experience creating, operating and analyzing multiple simultaneous A/B tests
• Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis
• Strong communication and presentation skills, including extensive use of chart and table tools
• Passion for speed and large data sets

Bonus Points 

• Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making.
• Advanced degrees a plus
• 2+ years within the mobile gaming domain
• Strong statistical background
• Experience with R, SAS, SPSS, Matlab or other statistical modeling packages
• Had experience of onboarding/early funnel analysis 

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure!

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    

Scopely is looking for a Revenue Analyst to join our Accounting organization in Bangalore, working 3.30pm-12.30am IST! 

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios

What You Will Do

The selected candidate will support the day-to-day operations of the Revenue Accounting team.

• Assist with monthly, quarterly, and year-end closings
• Support revenue-related financial statement disclosures based on US GAAP and IFRS
• Manage daily cash receipts and ensure timely application to customer accounts
• Reconcile bank statements and related balance sheet accounts
• Prepare and record monthly journal entries for accrued revenue, revenue, and related accounts
• Prepare various revenue-related workpapers as part of the month-end reporting process
• Reconcile revenue accounts and investigate discrepancies to ensure accuracy
• Provide audit support, including coordination with external auditors (Big 4 experience preferred)

What We're Looking For

• Bachelor’s or associate’s degree in Accounting or a related field
• 3 to 5 years of relevant experience in accounting or revenue accounting (experience in gaming, tech, or digital media is a plus)
• Ability to thrive in a fast-paced, constantly evolving environment
• Experience with Oracle Fusion ERP is an advantage
• Excellent communication skills in English
• Strong analytical and problem-solving skills
• Advanced proficiency in Microsoft Excel and other MS Office applications

Please ensure that the résumé/CV you attach is written in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.    

THE ROLE

Pure is seeking a Senior Content Writer with strong enterprise infrastructure expertise to join the Global Value Management team.

This role is responsible for developing high-quality, reusable, modular written content that enables the creation of compelling, enterprise-grade value propositions, proactive proposals and supporting technical, operational and commercial documentation.

You will apply your understanding of enterprise infrastructure architectures to synthesize complex technical, operational and commercial inputs from Product, Engineering, Value Consultants, Competitive Intelligence, CX, Partners and Sales into clear, structured customer narratives that articulate the business value of Pure solutions.

As the primary content writer within the team, you will help create and maintain the global master content library that underpins scalable proposal creation. You will enforce written content standards, ensuring outputs are governed, reusable and aligned to established messaging and quality standards.

WHAT YOU'LL DO

Build & Maintain Reusable Content

• Own writing of defined technical, operational and financial value levers for Pure solutions.
• Develop reusable modular components at multiple levels of detail (executive summary, standard narrative, detailed technical content). 
• Create persona and industry aware variations of core narrative where required.
• Consume and adapt existing Pure content (case studies, product documentation, analyst endorsements, services materials) for structured proposal use. 
• Maintain and evolve global master content in alignment with roadmap priorities and release cycles.

Technical and Value Writing

• Translate technical, operational and financial inputs into clear value narratives.
• Compile and synthesize inputs from cross-functional SMEs into customer-ready outputs.
• Independently engage SMEs to validate accuracy and secure approval.
• Balance technical credibility with executive-level clarity.

Proposal Content Building

• Develop best practice placeholder content for: Value propositions, Proactive proposals and Technical/operational/commercial Appendices
• Ensure content demonstrates strong narrative flow, clarity and business value articulation.
  
  

Support Select Engagements

• Participate in select live proposal engagements to refine standards and identify reusable content opportunities.
• Contribute written content for strategic proactive proposals where required.
  
  

Standards & Quality

• Co own content standards & contribute to QA processes and structured release management for written content.
• Establish clear stakeholder communication and approval protocols.
• Ensure all outputs adhere to messaging, quality and governance requirements.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

Infrastructure & Technical Knowledge

• Strong knowledge of enterprise infrastructure technologies, with demonstrated experience writing about one or more of the following domains: (Enterprise storage (block, file, object), Compute and virtualization platforms, Hybrid cloud architectures, Data center, Infrastructure operations)
• Ability to confidently engage technical SMEs and interpret architectural and operational concepts.
• Experience synthesizing financial concepts into simple narrative form (taking input from SME’s not expected to have financial experience). 
• Comfort navigating multi solution portfolios and articulating integrated solution value.

Writing Expertise

• Exceptional written English skills, with the ability to produce precise, polished, executive ready content.
• Significant experience writing technical, solution or value-based content in an enterprise IT environment.
• Demonstrated ability to translate complex technical, operational and commercial inputs into clear, customer facing narrative.
• Experience building reusable, modular content or structured proposal components.
• Strong executive writing skills, including development of compelling summaries and structured appendices.

Process & Collaboration

• Proven ability to work cross functionally with Product, Sales, Marketing, Engineering and Services teams. 
• Experience independently driving SME engagement, review cycles and approvals.
• Strong version control, content lifecycle and revision management discipline.

Preferred:

• Experience supporting enterprise sales or value selling motions.
• Familiarity with proposal development and business case articulation.
• Exposure to modular content systems or AI enabled content tools.
• Experience operating in global organizations with standardized messaging frameworks.

#LI-ONSITE

THE ROLE

We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.

WHAT YOU'LL DO

• Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
• Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
• Be a data architect for Finance , bring different data into cohesive and answer critical questions
• Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
• Scale data infrastructure to support large volumes and complex financial models.
• Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
• Translate complex financial concepts and KPIs into scalable, maintainable data models.
• Implement strong controls for data quality, lineage, and governance.
• Maintain clear documentation of data transformations, metric definitions, and AI model logic.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Experience: 8+ years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
• Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise 
• Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
• Experience with data orchestration tools (Airflow, dbt) and tableau platform
• Hands-on experience with Python, PySpark, or R for automation and model integration.
• Proven ability to translate financial logic into scalable data models.
• Experience in Cortex Analyst/Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred. 
• Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
• Ability to evaluate and apply AI responsibly in financial contexts.

 #LI-ONSITE

Role Overview

As a Lead Data Analyst, you will provide strategic insights and translate complex data into narratives that drive our global Finance & Strategy decisions. You will collaborate across Finance & Strategy to build high-impact, data-driven models and analytics to enable rapid decision-making. While your primary focus is on strategic analysis, you will also design and govern an Analyst-Ready Data Layer that is the foundation for analytics across the team. By combining deep SaaS business context with technical data engineering, you ensure our insights are not only impactful but built on a scalable, audit-ready infrastructure.

Key Responsibilities

• Revenue Cycle & Predictive Modeling: Optimize the opp-to-cash journey by analyzing ARR-to-revenue conversion rates and renewal patterns, while building early-warning indicators to signal risks and opportunities in the long-term outlook.
• SaaS Unit Economics & Business Diagnostics: Lead advanced analytics on core business drivers, correlating hosting costs and service delivery against gross margins while modeling consumption-based indicators to identify proactive upsell and churn risks.
• Executive Storytelling: Partner with finance leadership to evolve and elevate the delivery of professional reporting packages for internal leadership and investment partners, ensuring monthly business reviews and board decks are supported by clear, intuitive narratives.
• Analyst-Ready Data Layer Architecture: Design and govern a dedicated business data layer by transforming raw data from systems like NetSuite, Salesforce, and Coupa into functional, high-performance schemas that eliminate manual data preparation for the global team.
• Technical Innovation & Partnership: Serve as the primary bridge to central Data Engineering to influence warehouse schema design while piloting AI-driven concepts to automate data anomaly detection and streamline the analytical pipeline.

The Profile

• Experienced Strategist: 8+ years of experience in data analytics, engineering, or database architecture, with a proven track record of supporting complex financial or business modelling.
• SaaS Industry Expertise: Deep understanding of high-growth SaaS environments and the specific data structures required to model subscription-based metrics like ARR, CAC, and LTV.
• Advanced Analytics & Visualization Toolkit: Expert proficiency with modern BI platforms (e.g., Tableau, Power BI, or Looker) to transform the Analyst-Ready Data Layer into interactive executive dashboards. Mastery of advanced Excel or Google Sheets for high-rigor financial modeling is essential.
• Technical Power User: Mastery of advanced SQL and deep experience navigating modern data warehouse environments to move data from raw sources into functional models.
• Bridge Builder: Exceptional at translating complex business needs from business leaders into technical execution and high-performance data schemas.

What is The Role

To support our continued growth and build the outstanding Global Finance/ Compensation organization, we are looking for a Sales Strategy and Finance Analyst to join our fun, growing, and collaborative team!

We will look to you to help continue to work with vital partners within Elastic to assess and capture sales compensation requirements, maintain and improve the Excel quota models used to provide vital data to the Sales Compensation and Finance team. Above all, this role will care and ensure our global sales organization, its leaders, have a smooth running commissions process, while meeting Elastic’s business needs as they change.

If you are passionate about driving business results and you are driven for an opportunity with a dynamic, fast-paced organization and be part of a distributed team, this could be an excellent fit.

What You Will Be Doing

• Sales Compensation program implementation each fiscal year by working closely with internal partners to analyze and capture all required sales comp plan components for our team so that they can set up the Xactly system.
• Collaborate with the Sales Strategy team on a monthly basis to acquire quota and vital data for current and new sales rep hires.
• Build and maintain a global sales quota model, commission rates, and any vital information for setting up sales rep to our colleagues.
• Provide ad hoc analysis and attainment data for our partnering teams.
• Identify and drive process improvements by providing key inputs during process standardization during fiscal year.

What You Bring

• Advanced Level Proficiency with Excel and attention to detail. Having experience with large data and Excel formulas to navigate large files is required.
• 2+ years of work experience in Sales Compensation / Operation / Analytics area (knowledge of sales compensation, quota process, year-end and month close activities).
• Experience with Xactly, Tableau, and AI (ChatGPT, Claude, etc.) is nice to have.
• Excellent communication and engagement skills (you will be working cross functionally across different organizations).
• Strong analytical and reasoning skills, a demonstrated professional experience in content creation, data analysis & reporting.
• Comfortable with fast pace environments and desire to own, re-build, improve upon existing processes.
• Standout colleague who can partner well across various departments but also able to work independently.
• Highly collaborative style and the ability to adjust on the fly to new demands as team and goals grow.

General Summary:

The Technical Business Analyst will work with product owners and requesters to gather requirements, validate processes, understand scope, test steps to reproduce, and assist with demos and training for system requests. The Technical Business Analyst will review, analyze and evaluate the systems and user needs. This individual will produce documentation of both current and new processes as well as system flow diagrams. This individual will work in partnership with cross-functional teams to assist in any projects assigned to ensure the project is well defined and coordinated.

Essential Duties & Responsibilities:

• Provides support to cross-functional team(s), with close attention to detail
• Research, analysis, and document findings
• Document and distribute new or revised processes and procedures that result from project efforts
• Analyze business problems and recommend solutions
• Write user stories with detailed acceptance criteria
• Create and implement a solution design that will meet the needs of the business
• Create and implement project plans when applicable
• Test the design, manage QA and UAT, and verify solutions
• Write up and keep detailed records of initiatives
• Perform System demo, participate in user acceptance testing, and conduct user training
• Facilitate user acceptance and sign off.
• Performs a variety of tasks
• A certain degree of creativity and latitude is required.
• Review, analyze, and evaluate market data and trends
• Work with stakeholders and requestors to document requirements, define project scope and objectives, and do the analysis to provide recommendations to stakeholders and management on the next steps

Knowledge, Skills, and/or Abilities Required:

• Ability to work independently on projects and processes with general supervision
• Ability to situationally adapt and understand new technology/processes
• Must have excellent and effective oral and written English communication skills to speak with both technical and non-technical audiences
• Must be detail-oriented, strong analytical, people and documentation skills
• Well-versed in both Agile and waterfall methodologies, as well as SCRUM
• Must understand how to communicate difficult/sensitive information tactfully
• Ability to work on multiple priorities and/or projects simultaneously
• Problem-solving abilities and the ability to meet reasonable deadlines
• Strong team player with the ability to build positive and collaborative relationships within the
• organization
• Familiar with relational database concepts and client-server concepts
• Financial Analysis and Familiarity with Financial Terms
• Willingness to call or speak with customers directly
• Familiarity with SharePoint, Smartsheet, and Jira

Educational/Vocational/Previous Experience Recommendations:

• Bachelor’s degree in a related field or equivalent business experience
• 2+ years of related experience
• 2+ years of experience working with the Salesforce Platform
• Experience with Agile/Scrum methodologies
• Salesforce Business Analyst Certification
• Preferred: Experience in Finance or Marketing

Working Conditions:

• Onsite/Hybrid/Remote depending on location
• 0-25% travel may be required

About the Role

We are looking for a highly analytical and detail-oriented Sales Operations Analyst to join our team. This role is ideal for a candidate with an engineering background, strong problem-solving skills, and experience in CRM management, sales processes, data analysis, and automation. You will work closely with the RevOps leaders to analyze business processes, optimize sales and CRM workflows, and drive data-driven decision-making.

Location: Bangalore
Experience: 3-5 years

Key Responsibilities

• Assess current business and CRM processes, identify gaps, and recommend improvements
• Automate workflows and integrate tools using APIs and automation platforms like Zapier
• Own end to end CRM and Techstack management making sure GTM teams run smoothly and Techstack is cost optimized
• Analyze large, complex datasets to generate actionable sales and business operations insights.
• Collaborate with sales, marketing, and operations teams to enhance efficiency and effectiveness of GTM functioning
• Account and lead list creation and Data Enrichment and for outbound outreach

Mandatory Requirements

• 3-5 years of experience in a data-driven analytical role (preferably in RevOps / SalesOps)
• Engineering background (Computer Science, IT, or related fields preferred).
• Hands-on experience with Salesforce CRM and preferred Hubspot CRM
• Proficiency in Microsoft Office Suite (Excel, PowerPoint, etc.)
• Familiarity with Power BI or similar reporting tools

Preferred Skills

• Knowledge of sales and SaaS sales processes.
• Experience with SQL, Python, and Google Apps Script (JavaScript) for data analysis and automation.
• Exposure to data pipelines and API integrations.
• Experience with lead enrichment tools like Zoominfo, Apollo, Clay, etc.
• Familiarity with analytics tools and reporting dashboards.

#LI-PB1

Scopely is looking for a Principal Data Analyst to join the Looney Tunes team in Bangalore on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

The Looney Tunes: World of Mayhem team embraces the "One Team, One Dream" culture every day. Everybody is empowered to work with a high level of autonomy and ownership to deliver the best possible player experience.

What You Will Do

As the analytics leader embedded within the game team, you will own the analytical vision across product, LiveOps, economy, monetization, and player lifecycle. You will translate complex data into clear strategic insights that directly shape roadmap priorities, feature design, event strategy, and revenue optimization. This is a high-impact role partnering closely with Product, Economy, Game Design, UA, and Leadership.

• Analyze large, complex datasets representing the behavior of our players to inform strategic decisions across retention, monetization, LiveOps, and economy design
• Define and evolve the KPI framework for Looney Tunes: World of Mayhem, ensuring clear visibility into game performance and player health
• Translate data into actionable insights that directly influence roadmap priorities, feature design, and event strategy
• Design, implement, and evaluate A/B tests to measure feature impact and optimize player experience and revenue outcomes
• Partner closely with Product, Game Design, Economy, and Leadership to align on priorities and ensure analytics is central to decision-making
• Build and maintain scalable dashboards and reporting that empower stakeholders with timely, reliable insights
• Proactively identify high-impact opportunities and risks across the player lifecycle, and frame ambiguous business problems into structured analytical roadmaps
• Leadership Expectations
• Act as the analytics owner for Looney Tunes: World of Mayhem, setting the analytical vision and raising the bar on how data informs product strategy
• Influence senior stakeholders by connecting data insights to long-term game strategy and revenue growth
• Establish best practices in experimentation, measurement, and KPI governance within the game team
• Mentor, and develop other analysts on the team, supporting their growth in both technical and business impact areas

What We’re Looking For

• 6+ years of experience in data analytics, with strong experience in free-to-play mobile gaming
• Proven ability to drive measurable impact on retention, monetization, LiveOps performance, or game economy optimization
• Advanced SQL skills and experience working with large-scale player-level datasets
• Strong understanding of experimentation frameworks, statistical analysis, and performance measurement
• Experience collaborating cross-functionally and influencing product decisions through data storytelling
• Proficiency in data visualization tools and cloud-based data warehouses (e.g., BigQuery, Looker etc) as well as advanced Excel/Google Sheets
• Experience with Python or R for data analysis
• Strong critical thinking, structured problem-solving, and communication skills
• Passion for mobile games and deep curiosity about player behavior

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

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

About the Role

As a Senior Data Engineer, you are a vital builder within our Finance "Engine Room". Your mission is to develop and maintain the technical infrastructure that is our Analyst-Ready Data Layer. You will execute on the strategic enablement layer, leveraging the enterprise data warehouse and ad-hoc solutions to facilitate fast-paced diagnostic, descriptive, and predictive analytics. Your work ensures that data is enriched, structured, and reliably delivered to reveal the underlying drivers of business performance for our global Finance & Strategy team.

Key Responsibilities

• Business Data Execution: Develop and maintain the dedicated business data layer, utilizing structured warehouse schemas and agile ad-hoc tables to eliminate manual data prep and ensure a ready-to-use foundation for analysis.
• Operationalizing Logic: Partner with the Data Engineering teams to migrate mature, ad-hoc financial logic into standardized, enterprise production pipelines.
• Upstream Quality Support: Collaborate with source-system owners to implement data-entry improvements and hierarchy audits, ensuring data hygiene and productivity at the point of creation.
• Advanced SQL Development: Utilize advanced SQL for complex data manipulation to build and optimize data structures that specifically support SaaS financial modeling, such as ARR waterfalls and OpEx leverage.
• Integrity & Traceability: Maintain rigorous data hygiene protocols and transformation-layer traceability to guarantee that financial outputs are valid, auditable, and board-ready.
• Finance AI & Innovation Support: Assist in the technical implementation of AI-driven concepts and LLM solutions to automate data anomaly detection and streamline the "Analyst-Ready" pipeline as our technology matures.

The Profile

• Experienced Data Engineer: 5–7+ years in data engineering or database development, with a strong background in building data layers for complex business or financial modeling.
• SaaS Industry Expertise: Proven track record in a high-growth SaaS environment, with a deep understanding of the data relationships required to model recurring revenue (ARR), customer lifecycles, and subscription-based metrics.
• Strategic Business Data Leader: Proficiency in Salesforce, NetSuite, and other finance and HR system data relationships to bridge the data architecture with SaaS business context to ensure data structures directly power F&S analytics and critical metrics. 
• Technical Power User: Proven advanced SQL knowledge and deep experience with modern data warehouse environments; you understand how to transform raw data into functional business models.

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 

Summary:

Leads advanced financial analysis and optimization strategies for cloud infrastructure, providing expert-level insight and technical guidance to drive cost efficiency, forecasting accuracy, and financial accountability across multi-cloud environments. This role partners closely with engineering, finance, and procurement teams to enable strategic cloud investment decisions.​

Duties & Responsibilities:

• ​ Lead in-depth cost modeling, forecasting, and trend analysis for AWS, Azure, GCP, and other cloud platforms.
• Design and implement scalable chargeback/showback models, allocation frameworks, and budget controls across business units.
• Serve as the primary expert on cloud cost optimization, including automation of rightsizing, usage analysis, and commitment planning (RI/SP/CUD).
• Collaborate with cloud engineering and architecture teams to ensure cost considerations are embedded in system design and scaling strategies.
• Provide financial oversight and scenario modeling to support large-scale cloud investments and vendor negotiations.
• Own and maintain FinOps dashboards, data pipelines, and cloud billing integrations with BI platforms.
• Define and drive FinOps best practices, governance standards, and cross-functional training initiatives.
• Mentor other analysts and serve as a lead contributor to FinOps maturity and tooling strategies.​

Job Complexity:

Leads the most complex, high-impact cloud financial analysis and optimization initiatives. Translates technical usage into strategic financial insights.

Required Supervision:

Operates independently with a high degree of autonomy. Trusted to guide FinOps execution and influence enterprise cloud strategy.

Expertise:

Deep subject matter expertise in cloud billing, cost modeling, and FinOps strategy. Recognized as a key influencer in cloud financial planning and optimization.​

Qualifications:

• ​ Bachelor’s or Master’s degree in Finance, Data Science, Engineering, or a related field.
• 7+ years of experience in cloud cost optimization, infrastructure finance, or enterprise technology operations.
• Advanced knowledge of public cloud platforms (AWS, Azure, GCP), billing constructs, and pricing strategies.
• Proficiency in SQL, Excel, and BI tools such as Tableau, Power BI, or Looker.
• Experience with cloud cost management platforms (e.g., Apptio Cloudability, CloudHealth, native tools).
• Strong technical acumen, communication skills, and ability to collaborate across engineering and finance.
• FinOps Certified Practitioner or Professional strongly preferred.

Summary:

Leads advanced financial analysis and optimization strategies for cloud infrastructure, providing expert-level insight and technical guidance to drive cost efficiency, forecasting accuracy, and financial accountability across multi-cloud environments. This role partners closely with engineering, finance, and procurement teams to enable strategic cloud investment decisions.​

Duties & Responsibilities:

• ​ Lead in-depth cost modeling, forecasting, and trend analysis for AWS, Azure, GCP, and other cloud platforms.
• Design and implement scalable chargeback/showback models, allocation frameworks, and budget controls across business units.
• Serve as the primary expert on cloud cost optimization, including automation of rightsizing, usage analysis, and commitment planning (RI/SP/CUD).
• Collaborate with cloud engineering and architecture teams to ensure cost considerations are embedded in system design and scaling strategies.
• Provide financial oversight and scenario modeling to support large-scale cloud investments and vendor negotiations.
• Own and maintain FinOps dashboards, data pipelines, and cloud billing integrations with BI platforms.
• Define and drive FinOps best practices, governance standards, and cross-functional training initiatives.
• Mentor other analysts and serve as a lead contributor to FinOps maturity and tooling strategies.​

Job Complexity:

Leads the most complex, high-impact cloud financial analysis and optimization initiatives. Translates technical usage into strategic financial insights.

Required Supervision:

Operates independently with a high degree of autonomy. Trusted to guide FinOps execution and influence enterprise cloud strategy.

Expertise:

Deep subject matter expertise in cloud billing, cost modeling, and FinOps strategy. Recognized as a key influencer in cloud financial planning and optimization.​

Qualifications:

• ​ Bachelor’s or Master’s degree in Finance, Data Science, Engineering, or a related field.
• 7+ years of experience in cloud cost optimization, infrastructure finance, or enterprise technology operations.
• Advanced knowledge of public cloud platforms (AWS, Azure, GCP), billing constructs, and pricing strategies.
• Proficiency in SQL, Excel, and BI tools such as Tableau, Power BI, or Looker.
• Experience with cloud cost management platforms (e.g., Apptio Cloudability, CloudHealth, native tools).
• Strong technical acumen, communication skills, and ability to collaborate across engineering and finance.
• FinOps Certified Practitioner or Professional strongly preferred.

About the Role:

We are seeking an energetic and detail-oriented Demand Marketing Specialist to join our APAC marketing team on an 8-month maternity cover contract. In this role, you will play a critical part in driving demand generation efforts across the region, supporting the end-to-end execution of marketing campaigns, events, and other initiatives. If you thrive in a fast-paced environment, have a keen eye for detail, and are passionate about delivering high-quality marketing programs, we’d love to hear from you.

Job Responsibilities:

• Event Management:
• Plan, coordinate, and execute ABBYY Ascend, 3rd party events, industry tradeshows, and webinars, ensuring alignment with overall business and marketing objectives.
• Manage all event logistics, vendor coordination, speaker coordination, platform setup, post-event follow-up and on-site/off-site support to ensure seamless execution.
• Collaborate with internal teams to align event goals with broader marketing objectives.
• Track and analyze webinar performance to optimize future sessions.

• Campaign Execution:
• Support end-to-end execution of integrated email campaigns, including creating internal campaign briefs, content creation and performance tracking.
• Collaborate with cross-functional teams to develop high-impact campaign assets that are compelling, on-brand, and tailored to the unique needs of the APAC audience.
• Develop clear and concise campaign briefs for internal and external stakeholders.

• Vendor & Invoice Management:
• Manage relationships with external vendors, ensuring timely delivery of services and adherence to agreed-upon terms.
• Process invoices and ensure accurate tracking of marketing expenses, adhering to internal financial processes and timelines.
• Work closely with the finance team to ensure budget alignment and resolve any invoicing discrepancies.

• Performance Tracking & Reporting:
• Monitor and report on the performance of campaigns and events, providing actionable insights to improve ROI.
• Use data-driven approaches to optimize marketing efforts and achieve demand generation goals.

• Collaboration:
• Partner with cross-functional teams, including revenue, marketing operations, product marketing and external agencies to ensure alignment and successful execution of marketing initiatives.

Job Requirements:

• Experience:
• 7+ years of experience in demand generation, event marketing, or a related marketing role, preferably within the IT or software industry.
• Proven track record of managing events, campaigns, and webinars end-to-end.
• Skills:
• Strong project management and organizational skills with the ability to manage multiple priorities simultaneously.
• Excellent written and verbal communication skills.
• Proficiency in marketing tools and platforms (Salesforce, Zoom, Jasper & Hubspot).

• Attributes:
• Self-starter with a proactive approach to problem-solving.
• Meticulous and detail-oriented, committed to delivering high-quality work.

This is a 6 to 8 months contract role covering maternity leave.

#LI-MM1

What You Will Do and Learn

As a Snowflake Architect/ Manager in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

• Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance
• Collaborate with team members to design and implement technology that aligns with client business objectives
• Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients
• Team management experience and ability to manage, mentor and develop talent of assigned junior resources
• Create actionable recommendations based on identified platform, structural and/or logic problems
• Communicate and demonstrate a clear understanding of client business needs, goals, and objectives
• Collaborate with other architects on solution designs and recommendations.

Qualifications:

• 8+ years’ experience developing industry leading business intelligence and analytic solutions
• Must have thorough knowledge of data warehouse concepts and dimensional modelling
• Must have experience in writing advanced SQL
• Must have at least 5+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.
• Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.
• Hands-on experience with Snowflake would carry higher weightage
• Snowflake SnowPro Core certification would carry higher weightage
• Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage
• Hands-on experience on Azure would carry higher weightage
• Must have experience in setting up DBT projects
• Must have experience in understanding / creating / modifying & optimizing YML files within DBT
• Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations
• Must have experience with various materialization techniques within DBT
• Must have experience in writing & executing DBT Test cases
• Must have experience in setting up DBT environments
• Must have experience in setting up DBT Jobs
• Must have experience with writing DBT Jinja and Macros
• Must have experience in creating DBT Snapshots
• Must have experience in creating & managing incremental models using DBT
• Must have experience with DBT Docs
• Should have a good understanding of DBT Seeds
• Must have experience with DBT Deployment
• Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features
• Proficiency in version control systems and CI/CD
• Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.
• Must have experience in PR approval workflow
• Participate in code reviews and best practices for SQL and DBT development
• Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage
• 2+ years of Business Data Analyst experience
• 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.
• Understanding and experience on ETL/ELT is an added advantage
• 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
• 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)
• 2+ years of experience creating functional test cases and supporting user acceptance testing
• 2+ years of experience in Agile/Kanban/DevOps Delivery
• Outstanding analytical, communication, and interpersonal skillsAbility to manage projects and teams against planned work
• Responsible for managing the day-to-day client relationship on projects

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. 

ROLE SUMMARY: The Senior Financial Analyst leads complex financial analyses and planning activities to support strategic decision-making and business performance management. This role partners with cross-functional teams to provide financial insights, manage forecasting processes, and improve reporting capabilities across the organization.

KEY RESPONSIBILITIES

Financial Planning & Analysis:

• Lead budgeting, forecasting, and long-range planning activities for assigned departments or business units.
• Develop advanced financial models to analyze business scenarios, track performance, and support strategic initiatives.
• Perform variance analysis and partner with business leaders to identify risks, opportunities, and efficiency improvements.

Reporting & Insights

• Prepare and deliver financial reporting packages and dashboards for leadership, highlighting key trends and insights.
• Support business units with KPI reporting on key operational, sales, and financial metrics.
• Provide ad-hoc reporting and forward-looking analysis, proactively engaging business leaders in gap analysis and course correction.

Close & Compliance

• Support monthly and quarterly close processes, including accruals, reconciliations, and financial statement analysis.
• Apply a thorough understanding of US GAAP for purposes of financial statement analysis.

Process Improvement & Systems

• Contribute to process improvements, financial systems upgrades, and automation initiatives.
• Identify and assist in the implementation of enhancements to financial reporting and planning systems.

QUALIFICATIONS

Required

• 5-6yrs years of experience in FP&A, financial analysis, or corporate finance.
• Bachelor's degree in Finance, Accounting, Economics, or a related field.
• Proficient in financial modeling, Excel, and reporting tools (e.g., Power BI, Anaplan, Adaptive Insights).
• Experience with ERP systems (e.g., Oracle, SAP, NetSuite) and financial planning platforms.
• Thorough understanding of US GAAP for financial statement analysis.
• Excellent communication, problem-solving, and cross-functional collaboration skills.
• Proven ability to manage competing deadlines and shifting priorities with minimal supervision.

Preferred

• MBA or CFA designation.
• Experience in a high-growth or publicly traded company environment.
• Familiarity with data visualization and BI tools.

CORE COMPETENCIES

Candidates will be evaluated against the following behavioral competencies:

Job Description: 

TRG Screen is seeking a highly motivated Customer Care Analyst with a passion for client advocacy and solving problems with efficiency, accuracy, and empathy. 

The core function of this job requires you to interact with customers daily via phone and email to help solve their issues while providing an optimal customer experience. 

To be successful you will need to have a passion for clients and technology, be great at troubleshooting technical issues, and be able to learn our proprietary software to serve as a subject matter expert. 

The Client Success Customer Care Analyst will report to the Head of Customer Care. 

Come join us and take advantage of this opportunity to make a huge impact on our clients by assisting them in getting the most out of TRG Screen’s platform.  

Responsibilities:  

• Deliver timely recommendations, facilitating end-to-end issue resolution, and providing expertise to ensure our customers are realizing optimal use from their platform access. 

• Serve as a customer advocate ensuring issues and enhancement ideas get channelled in a timely manner through the proper workflow in our support ticketing system. 

• Provide a stellar customer experience and deliver high CSAT through your engagements. 

• Deliver always-on expertise as you stay knowledgeable about current and ongoing product features and functionality, providing quality feedback to our development team regarding active issues and trends. 

• Conduct web-based scheduled group and/or individual training sessions. 

• Participate in user acceptance testing of new releases, fine-tuning your critical analysis skills. 

• Adhere to key SLAs and Support Metrics, meeting or exceeding your objectives.  

• Maintain product documentation and create walkthrough videos, knowledge-base articles, and scaled training webinars. 

Qualifications and Experience 

• Bachelor’s degree with an emphasis in Technology, Business, Finance, or similar 

• 1-2 years of previous hands-on experience supporting clients using hosted/ASP/SaaS software 

• Experience debugging web applications using Internet Explorer/Chrome debugger and Fiddler 

• Beginner or Intermediate knowledge of JavaScript, jQuery, SQL is beneficial 

• Experience with mobile, desktop, and/or web application testing 

• Experience using Jira or similar defect tracking tools 

• Must have strong PC skills and demonstrated proficiency in the MS Office Suite products (Excel in specific) 

• Ability to work and thrive in a deadline-driven environment 

• Strong writing and communication skills 

• Strategic OpEx Ownership: Lead the end-to-end operating expense forecasting process. You will act as a financial consultant to department heads, conducting monthly BvA reviews, managing headcount strategy, and driving the annual planning cycle.
• Advanced Cash Flow Modeling: Drive complex cash flow forecasting and develop sophisticated models to analyze liquidity movements and working capital trends over time.
• Consolidated Global Forecasting: Own and evolve the global forecast models. You will synthesize inputs from across the FP&A team to provide a cohesive, high-level view of variances and business drivers to the CFO and executive team.
• Systems & Process Architecture: Lead the charge on automation. You will optimize our planning and reporting tools, ensuring the finance tech stack scales with the company’s growth.
• Insights over Data: Move beyond "running extracts" to building dynamic reports and analytical frameworks that provide preliminary close insights and long-term trend analysis.
• Strategic Advisory: Conduct high-impact ad hoc analysis to support contract negotiations, M&A due diligence, and new productivity or cost-saving initiatives.

• 5+ years of progressive experience in FP&A, Corporate Finance, or Investment Banking, ideally within a high-growth or public company environment.
• Bachelor’s Degree in Finance, Accounting, Economics, or a related quantitative field (MBA or CFA a plus).
• Advanced Financial Modeling: Expert-level Excel skills with the ability to build scalable, complex, and error-proof models.
• Technical Proficiency: Strong working knowledge of BI tools (e.g., Tableau, Looker).
• Business Partnership: Proven track record of influencing senior stakeholders and "translating" financial data into actionable business strategy.
• Operational Excellence: Demonstrated ability to manage multiple workstreams in a "startup-like" environment while maintaining a meticulous eye for detail.
• Problem-Solving: A proactive mindset that identifies bottlenecks before they occur and implements structural solutions.

#LI-Hybrid

As we continue to expand our horizons, Stronghold is on the lookout for a skilled GIS Analyst to join our team. This role calls for someone who can seamlessly provide top-tier geospatial analysis and mapping solutions to a multi-faceted team in a dynamic setting. The ideal candidate will not only be proficient with the ArcGIS suite but should also be ready to thrive and deliver outstanding results in an entrepreneurial environment.
Responsibilities:

• Robust Mapping Support: Deliver comprehensive mapping support to Land, Engineering, and Geological teams, ensuring high-quality, accurate maps across various U.S. basins.
• Digitization and Data Editing: Perform digitization and editing of spatial data according to client requirements, ensuring data accuracy and relevance.
• Georeferencing: Utilize land records to perform precise georeferencing, aligning spatial data accurately within the designated coordinate system.
• GIS Database Management: Develop and maintain the GIS database, adhering to standard operating procedures to ensure data integrity, accessibility, and security.
• Data Integration: Collect and integrate data from diverse sources, providing critical insights to support GIS operations and decision-making processes.

• Data Entry: Execute efficient data entry from various sources to support GIS operations, maintaining data accuracy and consistency.

Qualifications:

• A Bachelor's degree in disciplines such as Geography, GIS.
• Three to Five years of experience as GIS Analyst.
• Proficiency with the ArcGIS suite and Product.
• Open to work from office in shifts.
• Knowledge of property legal terminology, including Deed plot and the Public Land Survey System (PLSS), will be beneficial.
• Previous experience working with Land teams in the upstream Oil and Gas sector is preferred.

Why join Stronghold’s Bangalore Team?

At Stronghold, you're not just another employee; you are a part of our global family. We believe in nurturing talent, fostering innovation, and celebrating successes together. With our state-of-the-art technology and a team of industry experts, we offer a platform for growth, development, and unparalleled learning.

Benefits:

• Salary: Competitive and aligned with local standards.
• Performance Bonus: According to company policy.
• Benefits: Includes medical insurance and group term life insurance.
• Continuous learning and development.10 recognized public holidays.
• Parental Leave

Stronghold Investment Management is an equal opportunity employer. We believe in creating a diverse and inclusive workforce, where individuals of all backgrounds, experiences, and perspectives can thrive. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by applicable laws. We encourage applicants from underrepresented groups to apply and embrace the unique contributions they can bring to our organization.

What You Will Do and Learn

We are looking for an Integrations & Data Migration Senior Analyst to join our India Team!

The Integrations & Data Migration Analyst will be responsible for scoping, designing, implementing, and testing integration and migration solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while building tangible business value. Continuous client education and enablement throughout various deployment phases are what make Spaulding Ridge a leading firm during sales selection processes.

Ideal candidates will be able to:

• Collaborate with team members to design and implement technology solutions that align with client business objectives.
• Support Salesforce-focused data migration workstreams, including:
• Source-to-target mapping and transformation logic
• Data extraction, cleansing, validation, reconciliation, and cutover planning
• Loads into Salesforce using tools such as DBAmp (SQL Server ↔ Salesforce) and/or middleware tools
• Design and build integrations between platforms such as Anaplan, Workday, Salesforce, and a variety of cloud-based or on-premise business systems.
• Build mock Proofs of Concept (POCs) for integration and migration approaches for potential clients.
• Work with integration and data movement technologies such as MuleSoft, Boomi, Talend, Jitterbit, Workato, Informatica, and other key offerings.
• Assist with integration patterns and API-based connectivity, including experience with REST/SOAP, authentication concepts, and error handling/retry strategies.
• Identify data/integration issues and structural problems, and generate actionable recommendations using standard methodologies.
• Demonstrate a clear understanding of client business needs, goals, and objectives, translating them into functional and technical requirements.
• Contribute to data platform and analytics enablement by supporting pipelines into or out of Snowflake (basic understanding of loading concepts, staging, and data modeling fundamentals is a plus).

Qualifications

• Bachelor’s Degree or higher
• Minimum 4+ years of professional consulting or relevant industry experience (integration, data engineering, or enterprise application delivery)
• Experience with data migrations, ideally on Salesforce projects, including data validation and reconciliation
• Strong experience in Application Integration Architecture, solution design, and development using SOAP and REST
• Familiarity with data movement / ETL / ELT concepts (batch vs. near-real-time, scheduling, monitoring, logging)
• Exposure to or experience with DBAmp and/or middleware-based migration approaches is strongly preferred
• Experience and knowledge of leading cloud integration technologies such as Talend Enterprise, Boomi, MuleSoft, Jitterbit, Workato, Informatica, etc.
• Basic familiarity with cloud data platforms such as Snowflake (or strong willingness to learn)
• Intermediate Java, Python, SQL, or other modern language development experience is a plus
• Outstanding analytical, communication, and interpersonal skills required
• Project Management experience is a plus, including maintaining a prioritized worklist and understanding financial views of projects
• Should be capable of managing the day-to-day client relationship on projects

What else to expect

As a Spaulding Ridge employee, the right candidate will also gain exposure to an early stage growth company providing innovative opportunities to impact our clients in a meaningful way. We believe giving back is core to our values. As such, the opportunity to participate in SR’s day of service, giving back to the global community.

We take care of you!

Here are some our great perks and top benefits to highlight:

• Full benefit offerings including health, wellness, retirement and lifestyle offerings
• Paid holiday time
• Flexible Time Off – Take the time you need when you need to take it
• Paid maternity and paternity leave

THE ROLE

Senior Analyst - Accounting

We are seeking a Chartered Accountant with a strong interest in systems, data flows, and operational finance.
This role sits at the intersection of finance, operations, and product workflows. The ideal candidate is someone who enjoys digging into the “why” behind numbers, understanding how data moves through systems, and ensuring financial accuracy through structured processes.

You will work closely with cross-functional teams, use internal BI tools, analyse invoice-level cost structures, and support improvements in our financial workflows. Success in this role means enabling accurate vendor cost accounting, strengthening controls, and contributing to a scalable, systems-driven finance function.

Responsibilities:

• Own the system-driven vendor billing review process, ensuring accuracy and compliance.
• Analyse invoice data, reconcile charges with internal system reports (BI dashboards, operational data, etc.).
• Understand how cost components (fulfilment, adjustments, duties, tariffs, etc.) flow through financial and operational systems.
• Identify data mismatches across systems and raise structured tickets for resolution.
• Work closely with Product, Sourcing, Quality, and Ops to understand upstream data and resolve discrepancies.
• Build strong documentation and strengthen internal controls around vendor cost flows.
• Support system enhancements by providing finance inputs on workflows, exceptions, and edge cases.
• Maintain audit readiness through accurate reconciliations and robust documentation.
• Contribute to month-end processes for cost accuracy and vendor payment readiness.
• Continuously explore opportunities to automate and streamline the invoice validation process.

Qualifications:

• Chartered Accountant (CA) with 3–4 years of work experience.
• Strong conceptual understanding of accounting, cost structures, and controls.
• Experience in US GAAP, IFRS, indirect taxation, particularly concerning tariffs and matters related to indirect tax.
• Strong interest in systems, processes, BI reports, and data analysis.
• Proficiency in Excel; comfort with large datasets and system-generated files.
• Experience with workflow tools (Jira / FreshService is a plus).
• Ability to think logically and trace how numbers flow from operational systems into financial records.
• Strong communication and cross-functional collaboration skills.
• Curiosity to understand the “story behind the numbers” rather than only posting entries.
• Experience in e-commerce, supply chain, or operational finance (preferred but not required).

Job Description  

TRG Screen is seeking a Market Data Operations Analyst to join our dynamic Managed Services team. In this role, you will be responsible for supporting the Market Data Team Lead in managing market data inventory, invoice processing, and client data.   

You will contribute to process improvement initiatives and provide analytical support to the team. This person will play a crucial role in maintaining market data accuracy, ensuring efficient processes, and supporting the team in delivering exceptional service.  

Responsibilities  

• Maintain and update market data inventory records.  

• Process market data invoices and reconcile discrepancies.  

• Assist in the development and maintenance of client-specific documentation.  

• Contribute to data analysis and reporting as required.  

• Support the team in implementing process improvements and automation.  

• Provide excellent client service and support.  

Qualifications and Experience  

• 6 - 10+ years of experience in market data management , market data operations or a related field. 

• Bachelor's degree in finance, economics, or a related field preferred.  

• Experience using market data management tools such as Bloomberg, Refinitiv or MDSL is ideal. 

• Strong attention to detail and accuracy.  

• Proficiency in data analysis tools and Excel.  

• Excellent organizational and time management skills.  

• Good communication and interpersonal skills.  

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

We are seeking dynamic Portfolio Data Analysts to join our team and collaborate closely with our founders, financial analysts, product managers, and engineers. In this role, you'll play a pivotal part in supporting our client onboarding and success team. You'll need a strong ability to analyze financial data, translate insights into actionable strategies, and effectively guide clients through our platform's features to drive their success.

Responsibilities:

• Analyze and onboard portfolio data from various sources into Arcana's data integration ecosystem.
• Collaborate with engineering, product management, and data operations teams to deliver high-quality, timely, and reliable data solutions through Arcana's platform.
• Work with a range of third-party data providers to integrate their data into Arcana's system.
• Develop and support data aggregation solutions based on client and third-party content, tailored to user workflow needs.
• Collaborate with user experience, design, and project management teams to develop data-oriented workflow solutions and product enhancements.
• Analyze and implement solutions to improve data operations and pipeline efficiency.
• Understand Arcana's products and clients, working closely with internal stakeholders to identify new opportunities to serve clients and grow the business.
• Contribute to the evolution of Arcana's financial data solutions, ensuring the platform remains a leading integrator of market-traded and alternative asset data.

Requirements:

• GPA of 8.0+
• Data analysis experience with exposure to finance and investment management.
• Strong communication and interpersonal skills for collaborating with vendors, clients, and internal teams.
• Ability to communicate complex ideas, problems, and solutions clearly both verbally and in writing for development, sales, clients, and third-party data providers.
• Ability to work with engineering teams to define functional and technical solutions to business problems, including a solid understanding of data development, data modeling, and writing/reviewing technical documentation.
• A passion for the finance and technology space, with a focus on solving complex problems in the investment management industry.
• Experience working with financial data and concepts relevant to Arcana's clients and products is highly preferred.

What You Will Do and Learn

As a Data Engineer in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

Qualifications:

· 2-4 years’ experience developing industry leading business intelligence and analytic solutions

· Must have thorough knowledge of data warehouse concepts and dimensional modelling

· Must have experience in writing advanced SQL

· Must have at least 2+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.

· Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.

· Hands-on experience with Snowflake would carry higher weightage

· Snowflake SnowPro Core certification would carry higher weightage

· Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage

· Hands-on experience on Azure would carry higher weightage

· Must have experience in setting up DBT projects

· Must have experience in understanding / creating / modifying & optimizing YML files within DBT

· Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations

· Must have experience with various materialization techniques within DBT

· Must have experience in writing & executing DBT Test cases

· Must have experience in setting up DBT environments

· Must have experience in setting up DBT Jobs

· Must have experience with writing DBT Jinja and Macros

· Must have experience in creating DBT Snapshots

· Must have experience in creating & managing incremental models using DBT

· Must have experience with DBT Docs

· Should have a good understanding of DBT Seeds

· Must have experience with DBT Deployment

· Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features

· Proficiency in version control systems and CI/CD

· Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.

· Must have experience in PR approval workflow

· Participate in code reviews and best practices for SQL and DBT development

· Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage

· 2+ years of Business Data Analyst experience

· 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.

· Understanding and experience on ETL/ELT is an added advantage

· 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)

· 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)

· 2+ years of experience creating functional test cases and supporting user acceptance testing

· 2+ years of experience in Agile/Kanban/DevOps Delivery

· Outstanding analytical, communication, and interpersonal skills

· Ability to manage projects and teams against planned work

· Responsible for managing the day-to-day client relationship on projects

· Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance

· Collaborate with team members to design and implement technology that aligns with client business objectives

· Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients

· Team management experience and ability to manage, mentor and develop talent of assigned junior resources

· Create actionable recommendations based on identified platform, structural and/or logic problems

· Communicate and demonstrate a clear understanding of client business needs, goals, and objectives

· Collaborate with other architects on solution designs and recommendations.