Senior Quantitative Risk Strategist
New
B
Binance.USFintech Cryptocurrency
U.S.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonSQLMachine LearningSparkR
Requirements
- 8+ years of experience in quantitative risk analytics, fraud science, or machine learning in fintech/banking/crypto.
- Advanced degree in Statistics, Mathematics, Economics, Finance, CS, Physics, or related field.
- Advanced proficiency in SQL.
- Experience with Python, Spark, or R.
- Proven success in designing and deploying production risk models.
- Deep understanding of ACH payments, chargebacks, and fraud detection techniques.
- Knowledge of AML, KYC/KYB, and sanctions compliance.
- Experience with model governance, audits, and regulatory examinations.
- Familiarity with blockchain analytics and transaction monitoring.
Responsibilities
- Design, develop, deploy, and improve predictive risk models and decision frameworks.
- Build customer and transaction-level models for fraud, chargebacks, and account compromise.
- Quantify and monitor risk across ACH, wire, and card payment rails.
- Design and optimize risk rules and decision engines for fraud prevention.
- Conduct investigations into fraud events and payment losses.
- Support model governance, audits, and regulatory reviews.
- Advise senior leadership on payments and financial crime risk trends.
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