Quantitative Risk Engineer
4 weeks ago
Job Summary
We are seeking a highly skilled Strategic Data Science Lead to join our team at Goldman Sachs. As a key member of our risk management team, you will be responsible for designing, developing, and executing comprehensive solutions related to fraud strategy and supporting regulatory monitoring and analytics.
Your Impact
In this role, you will analyze fraud trends, develop fraud solutions, and collaborate with internal and external governance teams to deliver enterprise fraud initiatives. You will also be responsible for mentoring and leading a team of highly talented data science experts.
Our Impact
As a key foundational pillar of our business, our risk management function strives to service our customers and clients through principles of responsible finance. We optimize the risk-reward trade-offs while continuing to enhance the customer experience and services.
Responsibilities
- Develop and implement advanced statistical models to drive key decisions and outcomes.
- Collaborate with cross-functional teams to deliver enterprise-wide risk initiatives.
- Mentor and develop a team of highly skilled data science experts.
- Stay up-to-date with the latest industry trends and recommend tools, services, and practices for improvement.
Preferred Qualifications
- 10+ years of experience working in data science/strategy roles, including model risk management and validation.
- Proficiency in Pyspark, R, or Python, SQL.
- Advanced analytical/quantitative and deductive reasoning skills.
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