This is a position in the Market Risk Time Series Management team in Mumbai. Market Risk Time Series Management team oversees the end-to-end process for time series data quality controls under the Data Quality Program (DQP). Our mission is to ensure the integrity of market data—including both historical price time series used by the firm’s Value at Risk (VaR) model in Market Risk, and Average Daily Traded Volume (ADTV) used in our internal Gross Market Concentration (GMC) risk and Strategic Stress liquidity calculations in Credit Risk. Accurate VaR results rely on historical time series data that truly reflects market movements and relationships across key factors. Likewise, reliable ADTV data is essential for GMC, a framework our Credit Officers use to approve trades and manage concentrated positions relative to the size of the traded market. The team works closely with internal stakeholders to ensure any data quality issue is remediated in a timely manner for accurate risk computation. We are also responsible for onboarding new market data which would enhance accuracy of risk calculation and risk management.

Job Responsibilities

• Analyze and verify market data used for risk calculations such as VaR, concentration risk and liquidity add-on across various asset classes;
• Identify spurious data like spikes and gaps, and liaise with stakeholders for remedial action;
• Interpret data, analyze results, and summarize complex data into understandable and actionable insights for decision-makers;
• Work with Market Risk Coverage, QR product specialist, Credit Risk QR, and Technology teams to investigate data quality issues and ensure the operational control of the process;
• Provide update and report time series data quality issues in the weekly VaR Working Group;
• Provide recommendation for future best practice controls;
• Onboard new market data to enhance risk capturing for accurate risk measurement;
• Assist in various audit activities to ensure adherence to internal controls and compliance with regulatory bodies;
• Partner with analytics team to provide requirements for various data sourcing and remediation projects, ensuring execution aligns with expectations;

Required qualifications, capabilities, and skills

• Bachelor’s or master’s degree in Finance, Math, STEM or relevant fields;
• Knowledge of market risk concepts and various financial products across asset classes;
• Experience with performing statistical analysis on large and unstructured datasets;
• Proficiency in Microsoft Excel, using advanced formulas, pivot tables, etc.;
• A robust control mindset to identify gaps in data production and data control processes;
• Ability to think critically and solve problem independently in a deadline oriented environment;
• Ability to multitask and work under pressure with keen attention to detail;
• Excellent verbal/written communication and presentation skills;
• Proficiency in both technical and procedural documentation;
• Enthusiasm for knowledge sharing and ability to collaborate effectively.

Preferred qualifications, capabilities, and skills

• Prior experience of market data analysis;
• Ability to understand business processes and their risk implications, analyze complex situations, reach appropriate conclusions, and make feasible recommendations;
• Excellent interpersonal skills with an ability to develop effective and credible relationships;
• Experience with Python, in particular Pandas and Numpy, for data analysis;
• Qualifications like CFA/FRM are an added advantage.