AI-Driven Risk & Fraud Quant
Listed on 2026-10-13
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Finance & Banking
Data Scientist, FinTech
Goldman Sachs in New York seeks a Quantitative Strategist on the PWM Risk Strats team to build models that streamline risk management, detect fraud at scale, and enable data-driven decisions across Wealth Management. You will develop and deploy ML models, deliver risk metrics for financial and non-financial risks, and collaborate with risk, fraud, and portfolio teams to address clients’ investment goals.
A strong background in mathematics, programming (Python, Spark), and time-series analysis is
The following opportunity is for a AI-Driven Risk & Fraud Quant with Goldman Sachs.
Our group is growing, and we are hiring a AI-Driven Risk & Fraud Quant in New York, NY, United States.
This opening is for the AI-Driven Risk & Fraud Quant role at Goldman Sachs.
We are seeking a motivated AI-Driven Risk & Fraud Quant to join Goldman Sachs in New York, NY, United States.
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