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This listing doesn't post a salary. Most similar roles pay
$105,653–$153,375.
Based on 240 similar postings.
Employer
About Balyasny Asset Management
Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.
Balyasny Asset Management currently has
53 open roles
on FindRole.
Listed pay typically runs
$175,000–$250,000
across 37 roles with salary data.
The Index Analyst joins the Equity Index Rebalancing team to lead research, modeling, and implementation for systematic equity-index rebalancing strategies. This role involves owning quantitative research initiatives regarding index events, including additions, deletions, reconstitutions, and methodology changes. The analyst will develop and enhance systematic models to forecast rebalance flows, price impact, and liquidity while building Python-based production tools for data processing and signal generation. Key responsibilities include designing portfolio-optimization frameworks that balance expected return, turnover, and risk constraints. The position requires proficiency in Python, including pandas, NumPy, and SciPy, alongside skills in statistical modeling and time-series analysis. The work focuses on identifying trading opportunities and risk factors within index methodologies, corporate actions, and liquidity dynamics to translate complex event mechanics into actionable investment plans.
Lead quantitative research on equity-index rebalances, including additions, deletions, and methodology changes.
Analyze index rules to identify trading opportunities, risk factors, and potential sources of crowding.
Develop and test systematic models to forecast rebalance flows, price impact, and trading costs.
Build and maintain Python-based tools for data processing, signal generation, and portfolio construction.
Improve portfolio-optimization frameworks to balance expected returns, liquidity, turnover, and risk constraints.
Conduct historical back-testing and attribution analysis to evaluate and improve investment strategies.
Create market monitors and dashboards to track upcoming rebalance events and estimated flows.
Translate legal and index-provider documentation into quantitative inputs and portfolio implications.
What we're looking for
At least 5 years of professional experience in index rebalancing, index arbitrage, ETF/index portfolio management, quantitative equity research, or systematic trading.
Demonstrated experience conducting quantitative research specifically related to equity-index rebalancing, including index events and methodology-driven flows.
Strong understanding of equity-index methodologies, reconstitution processes, corporate actions, free-float adjustments, and index-provider event mechanics.
Strong command of statistical modeling, time-series analysis, hypothesis testing, back-testing methodology, and empirical research design.
Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, computer science, engineering, physics, economics, or finance.
Programming ability in Python, including experience with pandas, NumPy, SciPy, and optimization libraries (preferred).
Operations Research
Modeling and Simulation
AFSIM
AI-assisted development
Claude Code
Codex
Data Science
Data Analytics
LLM
Risk Assessment
Trend Discovery
Cyber Warfare
Operations Research
Modeling and Simulation
AFSIM
AI-assisted development
Claude Code
Codex
Data Science
Data Analytics
LLM
Risk Assessment
Trend Discovery
Cyber Warfare
Modeling and Simulation
MATLAB
Simulink
AFSIM
Digital Engineering
Operations Research
Data Science
Data Analytics
AI-assisted development
Claude Code
Codex
Systems Engineering
Statistics
Applied Mathematics