Analyst/Senior Analyst - Data Analytics (Corporate Actions) - Financial Research

DE Shaw India · Hyderabad · 3+ yrs experience · Posted 2026-06-04

Tech stack: Linux, Python, SQL, Unix

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About the role

We are looking for candidates to join the Data Analytics 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 firm’s quantitative and discretionary investment strategies.

Responsibilities:
- In this role, you will track and maintain corporate actions for companies across global markets.
- You will analyze and quantify the impact of corporate actions on stock prices, with a focus on key event dates and terms of the corporate actions.
- You will ensure data accuracy by validating inputs across multiple sources.
- You will create value-added analyses and reports that directly support trading and investment decision-making.
- You will interact closely with trading desks and technology teams to deliver timely and reliable corporate actions data used in real-time trading and research workflows.
- You will work independently with global teams, identify opportunities to improve processes, and drive efficiency enhancements.
- You will also collaborate with and support talented colleagues, contributing through mentoring and knowledge sharing.

Qualifications:
- A Master’s degree in Finance or an equivalent discipline, with 1– 2.5 years of relevant experience in financial research, data analysis, or corporate actions processing
- Demonstrated working knowledge of corporate actions and a clear understanding of how corporate actions impact market prices
- The ability to be detail-oriented and capable of handling marketsensitive corporate actions data with accuracy and sound judgment
- An interest in finance, along with a demonstrated analytical mindset and the ability to synthesize information effectively
- Excellent written and oral communication skills and demonstrate the ability to work independently with a high level of accountability
- Robust proficiency in Microsoft Excel and familiarity with data analysis techniques, and basic Unix/Linux environments
- Familiarity with data vendor products like Bloomberg, S&P Capital IQ (CapIQ), Reuters, ICE particularly for corporate actions and reference data
- Familiarity with SQL, python, automation, AI tools

Qualifications

- A Master’s degree in Finance or an equivalent discipline, with 1– 2.5 years of relevant experience in financial research, data analysis, or corporate actions processing
- Demonstrated working knowledge of corporate actions and a clear understanding of how corporate actions impact market prices
- The ability to be detail-oriented and capable of handling marketsensitive corporate actions data with accuracy and sound judgment
- An interest in finance, along with a demonstrated analytical mindset and the ability to synthesize information effectively
- Excellent written and oral communication skills and demonstrate the ability to work independently with a high level of accountability
- Robust proficiency in Microsoft Excel and familiarity with data analysis techniques, and basic Unix/Linux environments
- Familiarity with data vendor products like Bloomberg, S&P Capital IQ (CapIQ), Reuters, ICE particularly for corporate actions and reference data
- Familiarity with SQL, python, automation, AI tools

Responsibilities

- In this role, you will track and maintain corporate actions for companies across global markets.
- You will analyze and quantify the impact of corporate actions on stock prices, with a focus on key event dates and terms of the corporate actions.
- You will ensure data accuracy by validating inputs across multiple sources.
- You will create value-added analyses and reports that directly support trading and investment decision-making.
- You will interact closely with trading desks and technology teams to deliver timely and reliable corporate actions data used in real-time trading and research workflows.
- You will work independently with global teams, identify opportunities to improve processes, and drive efficiency enhancements.
- You will also collaborate with and support talented colleagues, contributing through mentoring and knowledge sharing.

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