refresh

Trending Companies

Trending

Jobs

JobsJPMorgan Chase

Quantitative Research - eTrading - Vice President

JPMorgan Chase

Quantitative Research - eTrading - Vice President

JPMorgan Chase

New York, NY, United States, US

·

On-site

·

Full-time

·

2mo ago

The Quantitative Research (QR) Team design and implement trading platforms to integrate client solutions across various functions. This team contributes to the design and implementation of the algorithmic trading platforms where they integrate quantitative research and data analytics for client solutions across various functions in e Trading.

Our team partners with the electronic trading desk and technology teams to develop sophisticated mathematical models, cutting-edge methodologies and infrastructure to improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide. The Quantitative Algo Dev function within the QR e Trading team works closely with quant researchers, the algo development team and the trading desks to deliver global solutions for our clients.

Job Summary:

As a Vice President in the QR e Trading team, you will contribute to the design and implementation of the algorithmic trading platform, integrating quantitative research, data analytics, and client solutions across various functions within e Trading. Collaborating with researchers in the QR team and working closely with the electronic trading product and algo development technology teams, you will have the opportunity to guide and shape the direction of the platform.

Job Responsibilities:

  • Build robust algorithms within the production platform which will involve collaborating closely with our technology partners to integrate and deliver optimization solutions within the algo trading engine
  • Collaborate with quant researchers and trading desks to refine models and strategies that enhance our trading performance
  • Work closely with the product team and trading desks to design and build client centric solutions

Required qualifications, capabilities, and skills

  • Masters in STEM subject such as computer science, engineering, mathematics/statistics, physics
  • 5 years of experience in position(s) with similar responsibilities/technologies/business area
  • Experience coding in Java or C++
  • Experience working on algorithmic trading platform
  • Strong analytical, quantitative, and problem-solving skills
  • Strong written and verbal communication skills, with the ability to communicate well with business users and technology teams

Preferred qualifications, capabilities, and skills

  • Preferred PhD in STEM subject or independent research experience
  • 7+ years preferred experience in position(s) with similar responsibilities/technologies areas
  • Experience with writing production grade implementations for trading systems in Java/C++
  • Experience with Python, AWS and/or other database/data processing technologies
  • Experience with q/kdb or similar
  • Knowledge of cash equity markets and microstructure

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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%

Recommend to a Friend

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

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2 reports

$188,500

total / year

Base

$145,000

Stock

-

Bonus

-

$182,000

$195,000

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