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Tier-1 brand, mid-level data scientist title, and metro Mumbai increase candidate competition.
Strong finance, FX and derivatives domain knowledge required limits cross-industry transferability.
Requires finance/banking experience plus specific technical stack and development skills.
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Analyze internal datasets using proprietary algorithms to identify potential FX clients and provide actionable insights to Marketing and Sales teams.
Maintain, update, and improve internal Large Language Models (LLM) and data pipelines integrating external data sources to enhance client and trading insights.
Collaborate with Business Management Team to ensure accuracy of client metrics, tracking/reporting tools integration, and develop MIS tools for trading monitoring.
Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Engineering, Finance, Mathematics, Statistics, or related quantitative discipline.
Mandatory experience in Finance and Banking.
Proficiency in SQL and Python (including pandas, matplotlib, scikit-learn, web-scraping) with strong hands-on software development skills.
Experience working with large datasets, data warehouses, and building scalable, reliable technology solutions.
Experience working in emerging markets FX and Rates products or derivatives markets with understanding of macroeconomics.
Strong project management and collaboration skills to work effectively with Business Management, Sales, and Marketing teams.
Technical background blending software engineering and quantitative analytics to develop business-focused, data-driven models and tools.