Senior Quantitative Risk Strategist

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Binance.US

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2019

₿ Crypto

💳 Fintech

🛍️ eCommerce

💰 $200M Seed Round on 2022-04

Crypto • Fintech • eCommerce

Binance. US is a licensed and regulated cryptocurrency exchange in the United States, allowing users to securely buy, sell, and trade over 160 cryptocurrencies, including Bitcoin and Ethereum. With features such as deep liquidity, low trading fees, and a robust staking platform, Binance. US provides users with the tools to manage their crypto assets efficiently and confidently. The platform supports a variety of payment methods, making it easy for users to deposit and withdraw USD, while prioritizing the security of customer funds.

📋 Description

• 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

• 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.