Senior Quantitative Risk Strategist

Binance.US

Senior Quantitative Risk Strategist for Binance.US developing predictive risk models to enhance fraud prevention and operational efficiency. Collaborating across teams to design data-driven risk solutions.

Posted 6/11/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonRuby on RailsSparkSQL

About the role

Key responsibilities & impact

Design, develop, deploy, and continuously improve predictive risk models, scoring methodologies, and decision frameworks across ACH deposits, wire transfers, debit card funding, withdrawals, account security, fraud, and cryptocurrency-related risk domains.
Build customer-level, transaction-level, and portfolio-level models that predict fraud losses, payment returns, chargebacks, account compromise, and emerging risk events.
Develop risk segmentation frameworks that dynamically assess customer behavior throughout the customer lifecycle, including onboarding, funding, trading activity, and withdrawals.
Apply advanced statistical methods, machine learning techniques, anomaly detection, and large-scale data analysis to identify evolving fraud patterns, abuse vectors, and operational vulnerabilities.
Quantify and monitor risk across payment rails, including ACH, wire, card, and other funding methods.
Develop forecasting methodologies for payment losses, ACH return rates, chargebacks, fraud exposure, and emerging risk trends.
Establish key risk indicators (KRIs), operational thresholds, portfolio health metrics, and executive reporting frameworks.
Evaluate the impact of new products, payment methods, customer segments, and growth initiatives through rigorous quantitative risk assessment.
Partner with Product and Engineering teams to embed model-driven decisioning throughout the customer journey.
Conduct deep-dive investigations into material fraud events, payment losses, suspicious activity, and operational incidents, identifying root causes and recommending corrective actions.

Requirements

What you’ll need

8+ years of experience in quantitative risk analytics, fraud science, payments risk, machine learning, data science, or risk modeling within fintech, financial services, payments, banking, or cryptocurrency organizations.
Advanced degree in Statistics, Mathematics, Economics, Finance, Computer Science, Physics, Operations Research, Data Science, or a related quantitative discipline.
Advanced proficiency in SQL and strong experience with Python, Spark, R, or comparable analytical and modeling technologies.
Demonstrated success designing, deploying, validating, and monitoring predictive risk models in production environments.
Deep understanding of ACH payments, return codes, chargebacks, account takeover risk, first-party fraud, synthetic identity fraud, mule activity, payment abuse, and transaction risk management.
Strong knowledge of AML regulations, sanctions compliance, KYC/KYB requirements, and financial crime risk management.
Experience supporting model governance programs, audit reviews, regulatory examinations, and independent model validation activities.
Familiarity with blockchain analytics platforms, cryptocurrency transaction monitoring solutions, and digital asset risk indicators.
Strong communication skills with the ability to translate complex quantitative findings into actionable business recommendations for both technical and executive audiences.

Benefits

Comp & perks

Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave.
Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits.
Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires.
Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

predictive risk modelsscoring methodologiesdecision frameworksmachine learninganomaly detectionlarge-scale data analysisquantitative risk assessmentSQLPythonSpark

Soft Skills

strong communication skillstranslating quantitative findingsactionable business recommendations