Analyst/Senior Analyst - Data Analytics (Corporate Actions) - Financial Research
D. E. Shaw
Hyderabadonsiteseniorfull time3d ago
D. E. Shaw
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, ensuring timely and accurate data that supports trading and investment research workflows. You will analyze and quantify the impact of corporate actions on stock prices, with a focus on key event dates and terms of corporate actions. You will ensure data accuracy by validating inputs across multiple sources and 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.
Who we're looking for:
The ideal candidate should hold-
Basic qualifications:
A Master’s degree in Finance or an equivalent discipline, with 1 to 2.5 years of relevant experience in corporate actions, middle office operations, securities operations, financial research, or related analytical roles
Demonstrated working knowledge of corporate actions and a clear understanding of how corporate actions impact market prices
Attention to detail and the ability to handle market-sensitive corporate actions data with accuracy and sound judgment
An analytical mindset, together with an interest in finance and the ability to synthesize information effectively
Excellent written and verbal communication skills, along with the ability to work independently with a high level of accountability
Proficiency in Microsoft Excel and familiarity with data analysis techniques, and basic Unix/Linux environments
Preferred qualifications:
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
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