JP Morgan Chase - HPC Python/Quant Developer

Opportunity

We are looking for an experienced Python developer to join our QR-CCR team in India. The team's mission is to develop models and analytics used by the Credit Portfolio Group (CPG).

CPG is responsible for the valuation and risk management of XVAs, e.g. credit and funding valuation adjustments (CVA and FVA), which is the market price of counterparty credit risk and funding originating from derivatives. QR-CCR team partners with trading and technology to develop the models and systems used for XVA pricing/risk-management for a cross-asset class portfolio, for example, developing hedging strategies, price marking methodologies and various tools for business users.

In addition, we are providing on job training, intensive internal classroom training, and online courses, all given by our experienced quants. Through the diversity of the businesses, it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career.

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.

If you are passionate, curious and ready to make an impact, we are looking for you.

Your Impact

You'll contribute to the firm's product innovation, effective risk management, financial risk controls. Specially, you'll have the chance to:

- Design frameworks and applications for analytics, implement and integrate them in the systems;

About You

- You are an experienced developer with proficiency in Python.

- You demonstrate proficiency in code design and programming skills

- You demonstrate quantitative and problem-solving skills.

- 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;

- You demonstrate good judgment - decision-making is your strength;

- You're attentive to detail and easily adaptable;

- You're enthusiastic about knowledge sharing and collaboration;

- 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;

Nice to have

- Advanced degree (PhD, MSc, or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. Relevant academic research publications a plus;

- Markets experience and familiarity with trading concepts and financial terminology. Beyond that, we're interested in the things that make you unique: personal qualities, outside interests and achievements beyond academia and profession that demonstrate the kind of person you are and the differences you could bring to the team.