About The Position
We are looking for a highly analytical professional with deep understanding of trading behavior, market microstructure, and large-scale participant analysis. The role focuses on identifying scalable and repeatable trading behavior, evaluating participant quality beyond surface-level profitability metrics, and building systems that distinguish persistent edge from noise across large populations of traders. The ideal candidate may come from institutional trading, market making, brokerage risk, execution, proprietary trading, or quantitative research environments.
Requirements
- 5+ years of experience in institutional trading, brokerage risk, market making, execution, proprietary trading, quantitative research, or trader evaluation environments.
- Strong understanding of market microstructure, participant behavior, and risk-adjusted performance analysis.
- Experience working with large-scale client flow, execution systems, trader populations, or liquidity infrastructure.
- Deep intuition for probabilistic systems and statistical behavior at scale.
- Strong Python and SQL skills.
- Experience with behavioral analytics, clustering, statistical learning methods, time-series analysis, and large datasets.
- Strong understanding of concepts such as adverse selection, flow quality, execution efficiency, tail risk, regime changes, and behavioral drift.
- Ability to reason effectively under noisy and non-stationary environments.
Nice To Haves
- Experience from institutional brokers, proprietary trading firms, market makers, execution venues, electronic trading environments, hedge funds, or large-scale trader evaluation platforms.
Responsibilities
- Analyze large-scale trading behavior across tens of thousands of accounts and millions of trading events.
- Build frameworks to evaluate long-term trader quality, consistency, and behavioral stability.
- Develop participant scoring systems based on execution behavior, risk profile, consistency, and behavioral patterns rather than simple PnL metrics.
- Identify persistent signals related to execution quality, position management, holding behavior, directional bias, exposure concentration, and performance drift.
- Research repeatability of trading behavior across different market regimes and non-stationary environments.
- Detect behavioral deterioration, adverse selection, flow toxicity, style drift, and execution inefficiencies.
- Design frameworks for participant segmentation, risk profiling, and flow classification.
- Evaluate participant quality using metrics such as MAE/MFE, drawdowns, position sizing, holding behavior, rolling performance drift, exposure concentration, and tail risk characteristics.
- Work with large-scale datasets and real-time monitoring systems.
- Collaborate with engineering teams on automated decision systems, risk infrastructure, and real-time analytics.
- Develop robust analytical logic capable of adapting to changing market conditions and evolving participant behavior.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
