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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Technology Support II - Application support__UNIX / Shell Scripting & Market Data Distributed Support Specialist

직무오퍼레이션
경력미들급
위치Bengaluru, Karnataka, India
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Python

AWS

Linux

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Technology Support II at JPMorgan Chase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Key Responsibilities:

  • Monitor and support market data systems to ensure optimal availability and performance.
  • Troubleshoot and resolve issues related to market data feeds, applications, and infrastructure.
  • Collaborate with internal teams and external vendors to address and resolve data discrepancies and outages.
  • Maintain and update market data configurations, entitlements, and permissions.
  • Assist in onboarding new data sources and integrating market data into various platforms.
  • Provide technical support and training to end-users on market data tools and applications.
  • Conduct regular audits to ensure data accuracy and compliance with industry standards.
  • Develop and maintain documentation for market data processes, procedures, and support activities.
  • Stay informed about industry trends and advancements in market data technologies and services.
  • Participate in projects related to market data enhancements and system upgrades.

Preferred Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience in market data support or a similar role within the financial services industry.

  • Proficiency in programming languages such as UNIX/Shell scripting and Python.

  • Strong understanding of financial markets, instruments, and market data products.

  • Proficiency in market data platforms such as Bloomberg, Reuters, or similar.

  • Experience with market data technologies (e.g., RMDS/TREP, DACS entitlements, Bloomberg BPIPE, Solace).

  • Experience with Linux (Red Hat) system administration and knowledge of storage filesystems.

  • Experience using monitoring and forensic tools (e.g., ITRS Geneos, Splunk, Kibana, Galvanometer).

  • Understanding of network technologies, including IP (TCP/UDP/MCAST), switch, and routing topologies.

  • Familiarity with data feed technologies and protocols (e.g., FIX, API), and market data feeds/content (direct exchange and aggregated).

  • Familiarity with cloud computing platforms, particularly AWS.

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

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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