Market Risk Time Series Management – Analyst
JPMorgan Chase View all jobs
- Mumbai, Maharashtra
- Permanent
- Full-time
- 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;
- 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.
- 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.