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JobsJPMorgan Chase

Lead Software Engineer - Quant Research Technology

JPMorgan Chase

Lead Software Engineer - Quant Research Technology

JPMorgan Chase

LONDON, United Kingdom, GB

·

On-site

·

Full-time

·

5d ago

Join a high‑performance team building an industry‑leading quantitative portfolio construction platform, where you’ll apply strong Java/(Python across the full SDLC. You’ll work on microservices on AWS ECS, develop event‑driven services with AWS Lambda, Airflow for complex batch processing, leverage Amazon S3, Cassandra for scalable, low‑latency data storage— to turn data and analytics into production‑grade capabilities that advance JPM Asset Management business. Expect to keep stakeholders informed, uphold best practices and modern architecture across complex systems, and collaborate effectively within large teams. Candidates with a BS/MS in Computer Science, Engineering, Mathematics, Physics, or a related discipline—and a passion for building an innovative culture—are encouraged to apply.

As a Lead Software Engineer at JPMorgan Chase within JPM Asset Management, We are looking for you to contribute to the transformation of quantitative portfolio construction into an industry leading platform. If you are expert in java or python, passionate about quality of your software and interested in data analytics please apply. You will dive head-first into creating innovative solutions that advance businesses and careers. You’ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • BS or MSc degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics or Science Discipline

  • Excellent software development skill in Java or Python and ability to learn new technologies quickly

  • Advanced knowledge of architecture and design across all systems

  • Knowledge of industry-wide technology trends and best practices

  • Ability to work in large, collaborative teams to achieve organizational goals

  • Passionate about building an innovative culture

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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%

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

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