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Tier-1 bank, metro location, mid-level generalist role with common SQL/Python skills increases applicant competition.
Role requires market-data and regulatory knowledge, making cross-industry transferability limited.
Explicit 4+ years plus mandatory SQL, Python and market-data knowledge impose moderate filtering.
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Deliver actionable market insights by collecting, validating, and publishing market data across Fixed Income, Commodities, FX, and Equities products.
Support calculation and evaluation of market and credit risk by collaborating with Traders, Quants, Treasury, and Front-Office colleagues.
Manage data quality controls, regression testing, and process automation for market data workflows including GoldenSource and Beacon systems.
4+ years of experience in market data, trading, risk, or financial data operations.
Bachelor’s or Master’s degree in Computer Science, Engineering, or Information Technology.
Proficiency in Microsoft Excel, SQL, and Python for data analysis and automation.
Work Experience Required: 4+ years explicitly mentioned.
Technical and business all-rounder with ability to troubleshoot and escalate analytical and data issues.
Experience working in financial markets environment supporting market data and risk reporting frameworks such as FRTB and Basel 3.
Strong stakeholder management skills to understand downstream impacts of data on trading and risk functions.