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Binance.US logo
Binance.US

Buy & sell 150+ cryptocurrencies with low fees, dedicated support, and top-ranked security.

Senior Quantitative Risk Strategist

RiskRiskFull TimeRemoteSeniorTeam 201-500Since 2019H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

8 days ago

Salary

0

Seniority

Senior

Postgraduate Degree8 yrs expEnglishPythonRuby on RailsSparkSQL

Job Description

Senior Quantitative Risk Strategist

Binance.US

• 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.

Job Requirements

  • 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

  • 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.

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