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Tier-1 brand, popular data role, metro location and unspecified experience increase applicant competition.
Strong finance/FX domain requirement reduces transferability across industries.
Requires finance domain experience and mandatory technical engineering and LLM skills.
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Analyse internal datasets to identify potential FX clients using proprietary algorithms.
Maintain and update internal Large Language Model (LLM) for accurate data insights and integrate external data sources to enhance client insights.
Develop and maintain data pipelines and IT infrastructure, provide insights to Marketing and Sales, and build MIS and data analysis tools to monitor trading activities.
Proficiency in SQL, Python (including pandas, matplotlib, scikit-learn, web-scraping).
Experience working with large datasets and data warehouses, and developing scalable technology solutions.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Engineering, Finance, Mathematics, Statistics or related quantitative discipline.
Experience in Finance and Banking is required. Work Experience Required: Not explicitly mentioned in the JD.
Strong understanding of macroeconomics, derivatives markets including FX and Rates.
Experience in software development with ability to build scalable and reliable business-focused solutions.
Capable of collaborating with cross-functional teams including Business Management, Sales, and Marketing to refine models and ensure accuracy in client performance metrics.