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- Develop and maintain quantitative stock selection models globally, improving performance through empirical analysis, idea generation, and back-testing.
- Investigate structured and novel data sources to generate alpha.
- Lead the full lifecycle of research projects, including idea generation, design, back-testing, portfolio simulations, and implementation.
- Enhance portfolio construction and optimization through collaboration with team members.
- Implement equity models, transaction cost modeling, risk mitigation strategies, and new risk models.
- Collaborate with technology and trading teams to improve infrastructure and platforms.
- Drive strategic priorities in partnership with Senior Leaders in Asset Management.
- B.Tech or Post-graduate degree in Finance, Statistics, Computer Science, Data Science, or related fields from a top-tier institute.
- CFA, FRM, or CQF qualifications are a plus.
- Minimum of 5 years' experience in quantitative research, preferably in asset management, investment banking, or academic research.
- Expertise in statistics, probability, mathematics, and hands-on programming, with a strong passion for financial markets.
- Proficiency in programming languages (Python, R, MATLAB, SQL, VBA, Tableau) and data science/visualization tools.
- Experience with multi-factor models, quant equity portfolio construction, TCA, market impact modeling, and equity microstructure.
- Familiarity with financial and economic databases (e.g., Compustat, Worldscope, IBES) and tools like FactSet, Bloomberg, Axioma, and Barra.
- Strong analytical thinking, economic intuition, and excellent communication skills.
Quantitative Equity Research Analyst - Bengaluru - Recruise India Consulting Pvt Ltd

3 weeks ago

Description
Quantitative Equity Research Analyst
Role Overview:
We are seeking a Quantitative Analyst to collaborate with the Head of Systematic Equity Strategies (SES) Research in Bangalore. This role focuses on developing and implementing systematic active and tax-managed equity strategies for institutional and intermediary investors.
Key Responsibilities:
Required Skills & Experience:
About the Team:
The Analytics, Research & Data (ARD) team empowers business leaders to make informed decisions by combining investment research, advanced analytics, decision sciences, and AI.
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