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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Lead Software Engineer - Quant Research Technology

직무인프라
경력리드급
위치LONDON, United Kingdom
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Python

Java

AWS

Airflow

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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JPMorgan Chase 소개

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

직원 수

New York City

본사 위치

$500B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.5

보상

4.0

문화

3.8

커리어

3.2

경영진

2.8

68%

지인 추천률

장점

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

단점

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

연봉 정보

44개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1개 리포트

$139,000

총 연봉

기본급

$107,000

주식

-

보너스

-

$139,000

$139,000

면접 후기

후기 4개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

50%

경험

긍정 25%

보통 75%

부정 0%

면접 과정

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

자주 나오는 질문

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study