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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Director of Software Engineering - Prime Brokerage / Options

직무인프라
경력디렉터급
위치Jersey City, NJ, United States
근무오피스 출근
고용정규직
게시1개월 전
지원하기

필수 스킬

Java

AWS

Kafka

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together.

As a Director of Software Engineering at JPMorgan Chase within the Corporate and Investment Bank Prime Brokerage Technology, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.

Job Responsibilities

  • Provide vision and direction for engineering teams responsible for Prime Brokerage platforms.
  • Lead the modernization of legacy systems, driving adoption of cloud-native architectures and event-driven technologies (Java, Spring, AWS, Kafka, etc.).
  • Serve as a subject matter expert in Options Clearance and Prime Brokerage, ensuring solutions meet evolving business and operational requirements.
  • Demonstrate experience in leveraging AI technologies to accelerate technical project delivery and enhance platform capabilities.
  • Collaborate closely with business stakeholders, operations, and vendor partners to deliver robust, scalable, and innovative solutions.
  • Mentor and develop high-performing engineering teams, fostering a culture of technical excellence, continuous improvement, and accountability.
  • Oversee the end-to-end delivery of technology solutions, ensuring alignment with business objectives, timelines, and quality standards.
  • Ensure all platforms and solutions adhere to regulatory, risk, and compliance requirements.
  • Manage relationships with third-party vendors, ensuring alignment with strategic goals and service level agreements.

Required qualifications, capabilities and skills

  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
  • 10+ years of progressive software engineering experience, including 5+ years leading technologists and cross-functional teams.
  • Experience with Options Clearance, Prime Brokerage, Securities Processing, or related domain.
  • Experience with Java, Spring, AWS, Cloud platforms, and event-driven architectures (Kafka).
  • Proven track record of modernizing complex legacy platforms and migrating to cloud-based solutions.
  • Demonstrated experience utilizing AI to accelerate technical project delivery.
  • Exceptional leadership, communication, and stakeholder management skills.
  • Demonstrated ability to build and lead cross-functional teams.
  • Experience with Agile methodologies.
  • Strong analytical and problem-solving skills, with a history of delivering innovative solutions to complex challenges.

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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