Quantitative Research

1 month ago

Mumbai, India JPMorgan Chase Full time
Quantitative Research (QR) is an expert quantitative modeling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modeling and portfolio management. As a global team,Quantitative Research partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.

We are looking for a quant assocaite to join JP Morgan's Quantitative Research (QR) - Rates Modeling team in Mumbai focused on Interest Rate and Interest Rate Hybrids business. The Mumbai team is deeply integrated with our global Quantitative Research Rates team in other locations, focusing on model risk management activities and also contributing to model research & development/ enhancement activities.

Job Responsibilities:

  • Perform periodic review of the models, including thorough analysis and testing of the model behavior and implementation
  • Document model specification, implementation and model review results, along with any model limitations, for submission to Model Risk Governance and Review (MRGR) team
  • Work with MRGR team to address their queries regarding model reviews and remediate any model risk issues raised, ensuring successful review outcome
  • Implement ongoing performance monitoring of the models and help with investigating/ remediating any model performance issues identified
  • Work with the global Quant ResearchRates teams to develop, maintain and enhance pricing and risk models for different Rates derivative products


Required qualifications, capabilities, and skills

  • Good programming skills in Python/ C++
  • Strong analytical and problem solving abilities
  • Understanding of advanced mathematics used in derivatives modelling, such as probability theory, stochastic processes, partial differential equations, and numerical analysis
  • Good communication skills, both oral and written


Preferred qualifications, capabilities, and skills :

  • Masters/ PhD or equivalent degree preferred from top tier schools/programs in Mathematics, Mathematical Finance, Physics or Engineering
  • Experience with Interest rates / hybrids models
  • Knowledge of financial products, especially IR derivatives, IR exotics etc.


About us

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Team

The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.

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