Binance. US
FinTech
SeniorQuantitativeRiskStrategist
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optimal for Senior candidates.
“Senior Quantitative Risk Strategist at Binance. US. Skills: Quantitative risk modeling, Payments risk strategy, Risk decisioning, Fraud prevention. Design predictive risk models. Develop predictive risk models”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
8+ years quantitative risk analytics, 8+ years fraud science, 8+ years payments risk, 8+ years machine learning, 8+ years data science, 8+ years risk modeling
Nice to Have
Advanced degree in Statistics, Advanced degree in Mathematics, Advanced degree in Economics, Advanced degree in Finance, Advanced degree in Computer Science, Advanced degree in Physics, Advanced degree in Operations Research, Advanced degree in Data Science
What You'll Do.
Design predictive risk models
Develop predictive risk models
Deploy predictive risk models
Improve predictive risk models
Build customer-level models
Build transaction-level models
Build portfolio-level models
Develop risk segmentation frameworks
Apply statistical methods
Apply machine learning techniques
Apply anomaly detection
Apply large-scale data analysis
Quantify risk across payment rails
Monitor risk across payment rails
Develop forecasting methodologies
Establish key risk indicators
Establish operational thresholds
Establish portfolio health metrics
Establish executive reporting frameworks
Evaluate impact of new products
Evaluate impact of payment methods
Evaluate impact of customer segments
Evaluate impact of growth initiatives
Embed model-driven decisioning
Optimize risk controls
Design decision engines
Test decision engines
Optimize decision engines
Design transaction monitoring systems
Test transaction monitoring systems
Optimize transaction monitoring systems
Lead champion/challenger testing
Lead experimentation frameworks
Measure effectiveness of risk controls
Drive continuous improvement
Support data-driven decision making
Conduct deep-dive investigations
Recommend corrective actions
Support model governance
Support model validation
Support regulatory review
Establish model performance monitoring
Establish model calibration
Establish backtesting processes
Serve as trusted advisor
How You'll Work.
Team & Collaboration
Partner with Product; Partner with Engineering; Partner with Risk; Partner with Compliance; Partner with Data; Partner with Operations
Full Job Description
About Binance.US: Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit www.binance.us http://www.binance.us. All roles supporting Binance.US http://Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc. About This Role: The Senior Quantitative Risk Strategist is part of the Product organization and serves as a senior individual contributor responsible for designing, developing, validating, and optimizing quantitative risk models and analytical frameworks that protect Binance.US http://Binance.US customers, payment systems, and operations from fraud, financial crimes, account compromise, and payment-related losses. This role will act as the quantitative lead for payments risk, partnering closely with Product, Risk, Compliance, Engineering, Data, and Operations teams to develop scalable, data-driven risk solutions across customer onboarding, account funding, trading, and withdrawal experiences. The ideal candidate combines deep expertise in predictive modeling and risk analytics with practical experience managing fraud, ACH, card, and transaction risk within highly regulated financial services, fintech, or cryptocurrency environments. Success in this role requires balancing customer growth, conversion, and user experience with loss prevention, regulatory obligations, and operational efficiency. Core Responsibilities: Quantitative Risk Modeling & Analytics - Design, develop, deploy, and continuously improve predictive risk models, scoring methodologies, and decision frameworks across ACH deposits, wire transfers, debit card funding, withdrawals,
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