Risk & Compliance, Quantitative Research: Associate Job in Mumbai at JPMorgan Chase & Co.

JPMorgan Chase & Co. is hiring for the role of Risk & Compliance, Quantitative Research: Associate!

Responsibilities of the Candidate:

• Develop and maintain sophisticated mathematical models to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals
• Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide
• Collaborate with risk functions to develop models for market and credit risk the bank is exposed to, across various lines of business
• Build cutting-edge methodologies and infrastructure to implement our models in production

Requirements:

• You have a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields and  have strong quantitative, analytical, and problem-solving skills
• You have a strong background in the following topics – calculus, linear algebra, probability, and statistics
• You demonstrate proficiency in at least one of the object-oriented programming languages, like C++ or Java, and are good at Python
• You have knowledge of data structures and algorithms
• You can work independently as well as in a team environment
• You think strategically and creatively when faced with problems and opportunities
• Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders
• Market experience and general trading concepts and terminology are useful to be familiar with
• Knowledge of different types of financial products and asset classes like Fixed Income, Credit, Commodities, Equities
• Background in computer algorithms, python, and specialization (or significant coursework) in low-level systems (operating systems, compilers, GPUs, etc.)
• Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be a plus