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JPMorgan Shared Service Centre Advisory - Payments 
Philippines, Quezon City 
789532405

23.07.2025

As a Quantitative Research Associate/Vice President within the QR team, you will partner with the Business to provide a comprehensive view, develop and maintain sophisticated mathematical models, and collaborate with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models. You will also work with control functions to ensure compliance with regulatory requirements, while benefiting from on-the-job training and growth opportunities.

Job Responsibilities:

  • 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

Required qualifications, capabilities and skills :

  • You have a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields
  • You 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

Preferred qualifications, capabilities and skills :

  • Markets experience and general trading concepts and terminology is 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