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职位JPMorgan Chase

Global Index Research Group - Associate

JPMorgan Chase

Global Index Research Group - Associate

JPMorgan Chase

LONDON, LONDON, United Kingdom, GB

·

On-site

·

Full-time

·

3w ago

必备技能

Python

Project Management

Are you ready to make an impact in the world of index research? As part of our Global Index Research Group, you will help shape the future of fixed income indices, working alongside talented colleagues across the globe. You will have the opportunity to grow your expertise, engage directly with clients, and contribute to strategic decisions that influence the industry. At J.P. Morgan, you will thrive in a collaborative, fast-paced environment where your skills and ideas are valued and career mobility is encouraged.

As an Associate in J.P. Morgan’s Global Index Research Group, you will play a key role in maintaining and growing our global index business. This front-office position offers exposure to client engagement, project management, and market analysis, while collaborating with teams across the globe. You will become a subject matter expert in index products, contribute to product development, and help drive strategic decisions in a fast-paced, team-oriented environment.

Job responsibilities

  • Engage with clients, analyze data, and solve problems while identifying trends and opportunities in the fixed income space.
  • Manage multiple high-profile projects, ensuring effective planning and execution with internal and external experts.
  • Educate clients on structural and tactical changes in index products and their market implications.
  • Oversee operational aspects of thousands of indices to maintain product integrity.
  • Maintain deep expertise in fixed income and index products to ensure product dependability and applicability.
  • Collect, organize, and analyze large datasets; develop quantitative models to generate actionable insights.
  • Evaluate index performance and market trends to inform strategic decisions and identify improvements.
  • Create data visualizations and reports to communicate complex findings and support data-driven decision-making.

Required qualifications, capabilities, and skills

  • Bachelor’s degree or equivalent in Finance, Mathematics, Economics, or related STEM field.
  • Solid experience in finance and working with large data sets.
  • Proficiency in Python (or similar programming language).
  • Strong organizational skills, priority management, and teamwork ethic.
  • Ability to think locally and execute globally with high social awareness.
  • Strong quantitative and analytical problem-solving abilities.
  • Understanding of fixed income concepts, bond math, financial products, and market events.
  • Excellent written and verbal communication skills.

Preferred qualifications, capabilities, and skills

  • Experience interfacing with clients.
  • Knowledge of statistical modeling, time series, probability, and numerical methods.
  • Familiarity with data science, data management, and data visualization tools and techniques.
  • Experience with portfolio construction or fixed income strategy roles.

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关于JPMorgan Chase

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+

员工数

New York City

总部位置

$500B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.8

职业发展

3.0

管理层

2.5

65%

推荐给朋友

优点

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

薪资范围

41个数据点

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2份报告

$188,500

年薪总额

基本工资

$145,000

股票

-

奖金

-

$182,000

$195,000

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 20%

中性 80%

负面 0%

面试流程

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study