Quant Model Risk Analyst
JPMorgan
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This role on the market
63 open quant roles across 16 companies are on ApplySarthi right now, most of them in Mumbai (5), Delhi NCR (2), Bengaluru (2).
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What quant roles keep asking for: Python (75%), SQL (44%), Machine learning (38%), Tableau (29%), R (27%), Snowflake (25%), C++ (21%), AWS (19%) — counted across their open postings here.
JPMorgan has 7,039 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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Interviews for quant roles keep coming back to Python, SQL, Machine learning, Tableau. Practise those questions before you sit with JPMorgan.
Questions you are likely to be asked
- Why do you want to join JPMorgan?
- What is your experience with C++? Tell me one thing you learned the hard way.
- Explain a join or a window function you have used, and why you needed it.
- How would you explain a surprising number to a manager who does not believe it?
- Tell me about an analysis that changed a decision. What did you find?
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Practise the Quant Model Risk Analyst at JPMorgan interview free →We are looking for a new member to join our Rates team in the Model Risk Governance and Review Group which is responsible for end-to-end model risk management across the firm. As a Quant Model Risk Analyst you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have an opportunity for exposure to a variety of business and functional area as well as will work closely with model developers and users. Job responsibilities Carries out model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products/structures Provides guidance on model usage and act as first point of contact for the business on all new models and changes to existing models Develop and implement alternative model benchmarks and compare the outcome of various models; Design model performance metrics Liaises with model developers, Risk and Valuation Control Groups and provide guidance on model risk Evaluates model performance on a regular basis Required qualifications, capabilities, and skills Excellence in probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis MSc, PhD or equivalent in a quantitative discipline Inquisitive nature, ability to ask right questions and escalate issues Excellent communication skills (written and verbal) Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives) Good coding skills, for example in C/C++ or Python Preferred qualifications, capabilities, and skills The following additional items will be considered but are not required for this role: Experience with Rates derivatives
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Listed on oraclehcm · posted 2026-06-23. ApplySarthi collects openings and links to application pages; the role is advertised by JPMorgan, not by us.