Quantitative Research

1 month ago


mumbai, India JPMorgan Chase & Co. Full time

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible

As an Associate in Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help us grow our business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture is all about thinking outside the box, challenging the status quo and striving to be best-in-class. The Securitized Products Group QR team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals, as well as improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide. We work closely with trading desks to develop statistical arbitrage strategies along with other quantitative trading and risk models.

We make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental and physical health needs or particular family considerations.

Job Responsibilities

Develop mathematical models for pricing, hedging and risk measurement of derivatives securities Develop mathematical models and systems for electronic trading activities Support both OTC and electronic trading activities by explaining model behavior, identifying major sources of risk in portfolios, carrying out scenario analyses, developing and delivering quantitative tools, and researching for new trading ideas. Build various quantitative models and assess their appropriateness and their limitations, identifying and monitoring the associated model risks  Implement risk measurement, valuation models or algorithmic trading modules in software and systems Design efficient numerical algorithms and implementing high performance computing solutions Design and develop software frameworks for analytics and their delivery to systems and applications.

Required qualifications, capabilities, and skills

You understand the different types of risks and you can discuss in detail ways of managing these risks. You demonstrate quantitative and problem-solving skills as well as research skills You understand advanced mathematics arising in financial modeling including probability theory, stochastic calculus, numerical analysis, optimization, statistics  You are familiar with tools and methods of exploratory data analysis, visualization and modeling in Python ., pandas, scipy, Jupyter You bring computer programming experience such as use of python/C++/other programming languages in an academic/commercial environment) You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things in collaboration with the team You have strong interpersonal skills – you listen and communicate in a direct, succinct manner Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders You are good at communicating concepts and ideas, also via documentation, and you are keen to defend their validity and tailor messages to different audiences

 Preferred qualifications, capabilities, and skills

Background in Engineering, Mathematics, Physics, Computer Science, etc. Relevant academic research publications a plus Markets experience and general trading concepts and terminology is useful to be familiar with Knowledge of Fixed Income markets, in particular securitized products and models, financial regulations, is a plus, but it’s not strict requirement  Experience with coding, data schemas and data structures required in this role Orientation towards careful system solution design, implementation and testing

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