Analyst/Senior Analyst - Data Analytics (Reference Data Management) - Financial Research

The D. E. Shaw group is a global investment and technology development firm with more than $90 billion in investment capital as of March 1, 2026, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff. We have a significant presence in the worlds capital markets, investing in a wide range of companies and financial instruments in both developed and developing economies.
We are looking for candidates to join the Data Analytics (DA) team within our Financial Research group based in Hyderabad. The team partners closely with teams across Financial Research, as well as with Front Office and Technology functions, to manage critical data processes and deliver structured analytical support across the firms quantitative and discretionary investment strategies.
WHAT YOULL DO DAY-TO-DAY:
In this role, you will support multiple asset classes including equities, futures, options, etc. by ensuring the accuracy, completeness, and timeliness of reference data and security master information across global business lines. You will play a critical role in enabling seamless downstream processes by partnering closely with trading, and technology teams. You will manage the setup, maintenance, and ongoing validation of security master attributes across asset classes, maintaining high standards of data integrity and adherence to internal controls. You will investigate and resolve data issues through structured root cause analysis and proactive coordination with internal and external stakeholders. In addition, you will support time-sensitive, business-critical processes driven by the data analytics function, analyze large datasets to generate ad hoc insights, and contribute to reporting that informs operational decision-making. You will also identify opportunities to streamline workflows and drive automation initiatives that enhance efficiency and scalability across business processes.
WHO WERE LOOKING FOR:
The ideal candidate should hold-
Basic qualifications:

• A masters degree in finance or an equivalent discipline, with 1 to 2.5 years of relevant experience in the financial services industry, preferably within reference data, operations, middle office, or analytical support functions
• The ability to demonstrate robust understanding of financial instruments, security setup and maintenance
• Advanced proficiency in Microsoft Excel, including VBA, macros, and Power Query; experience in automation will be an added advantage
• Excellent analytical skills, with a keen attention to detail and a robust focus on data accuracy and quality
• Intellectual curiosity and initiative, with the ability to synthesize information from multiple sources, think critically, and learn quickly in a dynamic, data-driven environment
• Exceptional written and verbal communication skills, with the ability to clearly articulate insights and collaborate effectively across cross-functional teams
  

Preferred qualifications:

• Familiarity with SQL, Python, automation, or Artificial Intelligence tools
• Hands on experience with financial data platforms such as Bloomberg, Refinitiv (Reuters), and Capital IQ
  

Interested candidates can apply through our website:
https://www.deshawindia.com/recruit/jobs/Ads/Link/AnaSrAanaDAMarch26
We encourage candidates with relevant experience looking to restart their careers after a break to apply for this position. Learn about Recommence, our gender-neutral return-to-work initiative.
The Firm offers excellent benefits, a casual, collegial working environment, and an attractive compensation package. For further information about our recruitment process, including how applicant data will be processed, please visit https://www.deshawindia.com/careers
Members of the D. E. Shaw group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class.