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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Reference Data Analyst

职能数据分析
级别中级
地点Hyderabad, Telangana, India
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

Python

Are you someone who is looking to enrich your experience in reference data by working on diverse securities and market data analytics?

As a Reference Data Analyst within the Reference Data Team, you will be responsible for the creation and maintenance of all types of securities (such as equity, fixed income, derivatives, etc.) and pricing. You will set up new issuers and entities in internal systems, provide index onboarding and maintenance, and offer operational support towards market data analytics. Your data-promoten mindset will be crucial to deliver solutions that meet the needs of stakeholders and our global business.

Job Responsibilities:

  • Create and maintain all type of securities (such as equity, fixed income, derivatives etc.) and pricing, setting up new Issuers and entities in internal systems, index onboarding and maintenance and operational support towards market data analytics.
  • Execute timely tasks and ad-hoc projects, stakeholder updates and timely escalation of issues and their resolution.
  • Partner with Technology, Chief Data Office, and Operations teams to perform enhancement testing and implementation.
  • Contribute towards designing and implementing controlled operational processes to meet specific business needs.
  • Liaise with internal and external vendors to resolve issues, minimize risk and contribute to the success and overall execution of the strategic agenda items.
  • Maintain high standards and follow operational controls to reduce financial, regulatory and reputations risks.
  • Maintain operational and control metrics for senior management oversight.
  • Identify automation opportunities and contribute to the design, testing, and deployment of scalable automation solutions in collaboration with transformation and technology partners.

Required Qualifications, Capabilities, and Skills:

  • Bachelor’s degree in commerce or Master of Business Administration in finance
  • Knowledge of industry activities, including instruments and pricing reference data, entity data, corporate actions, stock markets and all asset classes, along with index&
  • benchmark and market data (including various funds and Environmental, Social and Governance-related firms).
  • Depth knowledge of Intelligent Automation tools like Ui Path, Python, and Alteryx. Deploy/implement scalable solutions to streamline operations, enhance efficiency, and optimize workflows.
  • Proficient in Microsoft Office.
  • Analytical and problem-solving abilities with attention to detail.
  • Self-motivated and proactive with the proven ability to work accurately and under pressure to meet deadlines.
  • Demonstrate ability to effectively communicate within a team environment and interact across departments.

Preferred Qualifications, Capabilities, and Skills:

  • 3+ years of relevant industry experience, preferably in reference data-related 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

10条评价

3.8

10条评价

工作生活平衡

3.5

薪酬

4.0

企业文化

3.8

职业发展

3.2

管理层

2.8

68%

推荐率

优点

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

薪资范围

44个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1份报告

$139,000

年薪总额

基本工资

$107,000

股票

-

奖金

-

$139,000

$139,000

面试评价

4条评价

难度

3.0

/ 5

时长

14-28周

录用率

50%

体验

正面 25%

中性 75%

负面 0%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study