JPMorgan Chase

2 weeks ago

Mumbai, India J.P. Morgan Services India Private Limited Full time

Job Description :


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, QR 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 an experienced developer to lead the QR team supporting Wholesale Credit Implementation in Mumbai, India. In particular, for this role, the team focuses on the development, delivery and maintenance of high performance analytics frameworks and libraries.


The successful candidate will work on the evolution of our frameworks and related tools to enhance ease of integration of pricing and forecast models, improve flexibility and extendibility of the framework as well as improve scalability and performance.


This will require the candidates to work with other more experienced Wholesale Credit model developers and business partners and enhance their quantitative as well as business skills, while managing and mentoring the local team.

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 :

- Work on the design and implementation state of the art forecast and valuation models in Wholesale Credit.


- She/He will be responsible for development, enhancement and support of our valuation and forecasting modeling frameworks and their delivery via our library.


- Focus will be on the end-to-end analytics infrastructure aspects.

- Engage with a variety of senior stakeholders including global leads, experienced modellers, business partners as well as technology across the deliverables

- Work with technology and the business on the implementation and integration of models into the firms delivery platforms.

- Understand the technical side of the platforms and partner to design and implement solutions that work well for the group's quantitative models as well as are highly scalable.

- Work on designing, implementing, testing, releasing and supporting the groups analytics library.

- Work on the design and implementation of the firm's next generation stress and risk analytics platform for Wholesale Credit alongside Technology and the Business.

- Provide leadership to the team locally

About You :

- You have a Bachelor's or Master's degree in Engineering, Mathematics, Physics, Computer Science, etc.

- You have strong quantitative programming skills in Python; C++ a plus

- You are experienced at Core software frameworks design and development

- 7+ years of relevant work experience as a quantitative developer

- You demonstrate quantitative and problem-solving skills and is adept at applying them to model or quantitative implementations

- You are well versed with functional and numerical testing through entire model development software cycle

- You are proficient working in a Linux/UNIX environment

Desirables :

- Experience implementing analytics frameworks in finance

- Experience with improving performance of Python applications and performance profiling

- Experience with parallel computing and/or GPU

- Experience implementing solutions using AWS, AI/ML related projects would be preferred

- Experience with source control, automated build/test systems, code coverage, unit testing and release processes

- Experience implementing, integrating and deploying financial models end-to-end

- Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritizations

(ref:hirist.tech)

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