below marketmost similar roles pay hereabove market
This role pays more than
83%
of similar roles. Most pay
$116,102–$170,000
— the blue band above.
At the midpoint, this role pays about
$180k
versus about
$143k
for comparable roles.
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
49 open roles
on FindRole.
Listed pay typically runs
$175,000–$250,000
across 33 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. Working with senior investors and portfolio managers, the analyst identifies and monetizes rebalance-related opportunities while enhancing portfolio-construction and execution processes. Core responsibilities include owning quantitative research on index events like reconstitutions, corporate actions, and methodology changes. The role involves developing systematic models to forecast rebalance flows, price impact, and liquidity. Key tasks include building Python-based research tools for data processing and signal generation, and improving portfolio-optimization frameworks. Required skills include Python, pandas, NumPy, SciPy, and optimization libraries, alongside expertise in statistical modeling, time-series analysis, and back-testing. The work focuses on analyzing index methodologies to manage risk factors, crowding, and trading costs within benchmark-tracking portfolios.
Conduct historical back-testing and attribution analysis to evaluate and improve investment strategies.
Develop market monitors and dashboards to track upcoming rebalance events and realized outcomes.
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, optimization libraries, and production-quality research workflows (preferred).
Python
pandas
NumPy
SciPy
Quantitative Research
portfolio-optimization
Statistical Modeling
Time-series Analysis
Back-testing
Data Processing
Signal Generation
Data Validation
Index Arbitrage
Python
C++
Machine Learning
Deep Learning
Reinforcement Learning
High-Frequency Trading
Market Microstructure
Quantitative Research
Signal Research
order-book modeling
Financial Engineering
data-analysis
Live Trading Systems
AI
Machine Learning
Large Language Models
Generative AI
Retrieval-Augmented Generation
Agentic Workflows
Data Science
Data Engineering
Data Visualization
Analytics