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Quantitative Research Analytics- Vice President

JPMorgan Chase

Quantitative Research Analytics- Vice President

JPMorgan Chase

Mumbai, Maharashtra, India, IN

·

On-site

·

Full-time

·

5mo ago

Required Skills

Python

AWS

Terraform

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

Quantitative Research Analytics manages the firm’s pricing and risk libraries across all JP Morgan Markets front-office businesses. This Vice President (VP) role, based in Mumbai or Bengaluru, offers opportunities to work on a variety of software and high-performance computing (HPC) products supporting diverse pricing and risk systems.

As a VP within Quantitative Research, QR Analytics, you will develop and maintain advanced models and libraries for pricing and risk management across JP Morgan Markets. You will work on cutting-edge HPC concepts, leveraging recent advances in CPUs, GPUs, and compiler technologies. The role involves close collaboration with internal lines of business and external HPC vendors, including Nvidia, Intel, AMD, and AWS.

Job Responsibilities:

  • Develop in a software library that prices derivatives and calculates risks in C++/CUDA/Python, designing efficient numerical algorithms and implementing high performance computing solutions;
  • Design and maintain processes and infrastructure to manage the library’s software development lifecycle and to support the many hundreds of developers working on it;
  • Maintain and support the core library frameworks and suitable library interfaces which can interact efficiently with the firm’s risk platform;
  • Build efficient algorithms leveraging vectorization and parallelization, compilers, architecture of cross-asset pricing engines and optimizing code for specific hardware, from today’s production staples to future disruptive innovations;
  • Support end users of the library and communicate with desk-aligned quant teams and technology groups;

Required qualifications, capabilities, and skills:

  • You have an advanced degree in quantitative subject (such as comp science, mathematics)
  • You demonstrate proficiency in code design and programming skills, with primary focus on C++, but also Python and you can also turn your hand to other tools and technologies as required.
  • You’re passionate about software design and writing high quality code;
  • You demonstrate quantitative, problem solving, research and analytical skills
  • You’re interested in applying agile development practices in a front-office trading environment, including robust approaches to testing and software development lifecycle;
  • You have strong interpersonal skills – you listen and communicate in a direct, succinct manner;
  • You think strategically and creatively when faced with problems and opportunities. You always look for new ways of doing things in collaboration with the team.
  • Familiar with Cloud Technologies like AWS, Terraform

Preferred qualifications, capabilities and skills:

  • You bring computer programming experience such as use of C++/Python
  • 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’re attentive to detail and easily adaptable;
  • You’re enthusiastic about knowledge sharing and collaboration;

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

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Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study