Russia•TELECOMMUTE
Remote
Senior
Full Time
23 days ago
cryptocurrencytradingrisk analysismarket microstructurePythonSQL
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
What You'll Do
- •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
Nice to Have
- •Experience from institutional brokers, proprietary trading firms, market makers, execution venues, electronic trading environments, hedge funds, or large-scale trader evaluation platforms
Benefits
- •Equal opportunity employer
- •Open and inclusive work environment fostering well-being
- •Embraces and encourages diversity in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, race, religion, sexual orientation, socio-economic status, veteran status, and other unique characteristics
