Senior Quantitative Researcher - Risk Modeling jobs in United States
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Swish Analytics · 12 hours ago

Senior Quantitative Researcher - Risk Modeling

positionUnited States
timeFull-time
remoteRemote
senioritySenior Level
date5+ years exp

Swish Analytics is a sports analytics and trading company building the next generation of predictive sports analytics and exchange-based trading products. As a Senior Quantitative Researcher, you will own end-to-end research and production pipelines for trading strategies, lead research initiatives, and collaborate closely with the Trading desk to translate quantitative insights into profitable systematic strategies.

AnalyticsBig DataFantasy SportsMachine LearningPredictive AnalyticsSports

Responsibilities

Own end-to-end research and production pipelines for a strategy
Lead alpha research initiatives leveraging advanced statistical and machine learning techniques
Process and analyze high-frequency tick data, order book snapshots, and market microstructure signals with sub-millisecond latency requirements
Analyze price formation, market liquidity dynamics, and limit order book imbalances across electronic venues
Build and run Monte Carlo simulations to estimate P&L distributions, risk exposures, and portfolio dynamics
Develop, backtest, and optimize quantitative trading strategies with rigorous statistical validation
Interpret complex model outputs and communicate alpha generation mechanisms to portfolio managers
Write modular, clean, and efficient Python code; build custom analytics libraries and research frameworks
Lead design reviews and establish data quality and research reproducibility standards
Guide 1–2 junior researchers through project delivery and model development
Proactively engage with traders and infrastructure teams to clarify research objectives and resolve data dependencies
Design and maintain real-time risk monitoring systems across multi-asset portfolios
Build models for dynamic position sizing, portfolio optimization, and factor exposure management
Develop stress testing and scenario analysis frameworks for tail-risk events and regime changes
Collaborate with Trading and Risk Management to define VaR limits, leverage constraints, and implement automated risk controls

Qualification

Quantitative researchPythonStatistical modelingMonte Carlo methodsSQLRisk management systemsAWSHigh-frequency data processingCommunication skillsMentoring

Required

5–8 years of experience in quantitative research, systematic trading, or statistical modeling
Master's degree in a quantitative discipline (Mathematics, Statistics, Physics, Computer Science, Financial Engineering) strongly preferred; PhD a plus
Expert-level Python skills; able to build production-grade research and trading systems
Strong SQL skills; experience with complex queries on tick databases and time-series datasets
Deep experience with Monte Carlo methods, stochastic calculus, and probabilistic modeling
Proven ability to develop, backtest, and deploy systematic trading strategies with demonstrable P&L
Experience processing high-frequency tick data and real-time market feeds
Familiarity with AWS or similar cloud infrastructure for large-scale backtesting and research
Track record of mentoring junior quantitative researchers
Excellent communication skills; ability to present complex quantitative research to portfolio managers and trading desks
Experience designing enterprise-grade risk management systems with real-time Greeks calculation
Strong understanding of factor models, correlation structure, concentration risk, and portfolio attribution

Preferred

Proficiency in Rust, C++, or other systems languages for performance-critical components
Experience with MLOps, model monitoring, and adaptive retraining pipelines for regime detection
Background in derivatives pricing, options market making, or volatility arbitrage
Familiarity with FIX protocol, Betfair or Matchbook API experience, and ultra-low-latency trading infrastructure

Company

Swish Analytics

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Swish Analytics operates as machine learning system for sports.
dateFounded in 2014
location
San Francisco, California, USA
people-size11-50 employees
web-link
http://swishanalytics.com

Funding

Current Stage
Growth Stage
Total Funding
$8.73M
Key Investors
Titanium Ventures
2019-05-29Series B· $6.91M
2018-07-03Series Unknown
2016-05-27Seed· $1.8M

Leadership Team

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Corey Beaumont
Co-Founder and Head of Engineering
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Robert Skoff
Co-Founder
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Company data provided by crunchbase