Analyst / Associate / VP
J.P. Morgan’s Global Quants Group in Mumbai was set up in 2013 as an extension of the Firm’s global quants teams around the world. It is a fast growing team covering multiple asset classes across geographies. It provides in-depth knowledge that is behind our Investment Banking, Structuring, Sales & Trading and Research businesses around the globe. Deeply integrated with our Investment Banking business, the team facilitates deals and transactions by providing vital research and insight.
This position is a Quant profile to support the activities of the Quantitative Research Group (cross asset classes) & Credit globally sitting out in Mumbai. The QR team in Mumbai plays a critical role in providing effective, timely and independent assessments of the Firm’s booking models of exotic structures and also help in developing new models for structures as and when necessary.
J.P. Morgan has the leading Global Spread business in terms of volume traded, issuers traded and investor relationships. The Spread business covers Credit, SPG, and Public Finance Markets. J.P. Morgan Global Spread Trading offers first-class, highly integrated financial services to a global client base and provides financial assets and liquidity for banks, insurance companies, finance companies, mutual funds and hedge funds. Traders, salespeople and research analysts work collectively to generate ideas. The Credit business make secondary markets in high grade bonds/CDS, high yield bonds/CDS, distressed bonds, indices, options, correlation products, and more exotic structures. The Securitized Products Group (“SPG”) engages in origination, syndicate, sales & trading, financing, and principal investments activities. Asset classes include: mortgage-backed securities (commercial, residential, agency and non-agency), mortgage loans, consumer asset-backed securities and receivables (auto, credit card, student, equipment loans).
The Credit QR team is responsible for developing and maintaining models for valuation, risk, PL calculations, as well as quoting and market making algorithms and analysis tools for the Global Spread business. The responsibilities of the team span the full range from new model specification, going through model approval, implementation of model in library, to integration into risk and PL systems.
The opportunity is to join our Mumbai team as a vice president, associate, or analyst with a focus on risk and PL calculations as well as the framework which supports them. Candidates directly from university will be considered.
Key responsibilities could include:
- Communicating with end users and colleagues in QR or technology about risk and PL requirements as well as explaining and supporting the calculations.
- Implementing calculations in our framework with an eye towards improving the framework and allowing non-specialists to build custom reports.
- Analyzing and improving performance.
The role requires a combination of strong programming skills and mathematical literacy. Candidates should enjoy coding and have opinions about what constitutes good and bad code which they are able to defend. Candidates should be able to work with the mathematical models used in the pricing and risk management of credit products such as bonds, loans, and credit default swaps. A Ph.D. in a numerate subject from a top academic institution is a plus, but not an absolute requirement. Discussing things in quantitative/mathematical terms should come naturally. Excellent communication skills are required in our interaction with trading, technology, and control functions.
- Strong interest in programming and design.
- Experience with at least one scripting language and one compiled programming language.
- Mathematical and financial modeling.
- Excellent communication.
- Ability to work in a high-pressure environment.
- Pro-active attitude. Should have a natural interest in learning about our business, models, and infrastructure.
- Parallel/distributed computing experience a plus.
Ideal candidates for these positions would be a graduate/post-graduate from a premier college or institute. A computer science or mathematics background will be most suitable.
J.P. Morgan’s Global Quants Group provides a challenging work environment and excellent opportunities to learn and grow both at the Quants Group and in the Firm’s global network.