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Reference Data Analyst

JPMorgan Chase

Reference Data Analyst

JPMorgan Chase

Hyderabad, Telangana, India, IN

·

On-site

·

Full-time

·

1w ago

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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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

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Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study