Quantitative Engineer Vp - Financial Engineering New York Ny jobs at Goldman Sachs in United States, New York, New York
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61 jobs found
14.05.2024
GS
Goldman Sachs Wealth Management-New York-Associate-Quantitative Engineerin... United States, New York, New York
Delivering risk metrics and quantitative analytics for financial and non-financial risks across wealth management. Developing and deploying ML models for fraud and anomaly detection as well as business workflows enhancement....
Product pricing: Streamline and improve how lenders set rates across its portfolio of products, using financial return-on-equity models. Funding optimization: Design quantitative models to help understand and realize the value...
Develop and implement quantitative models and algorithms to support trading and investment strategies. Conduct statistical and mathematical analysis of financial data to identify patterns and trends. Collaborate with traders, portfolio...
Engage with stakeholders within Risk and across other business segments to design, update, review and challenge the firm’s risk appetite statement. Identify and execute enhancements to the firm’s risk appetite...
Ensure that incoming regulatory matters that concern IA are appropriately tracked. Work with the IA functional teams regarding regulatory information requests and the responses. Providing best practices for regulatory interactions,...
Collaborating effectively with colleagues to advance production machine-learning systems and applications. Conceptualizing, experimenting with, and assessing AI/ML-based software systems. Developing, testing, and maintaining high-quality, production-ready code. Demonstrating technical leadership by...
Collaborating effectively with colleagues to advance production machine-learning systems and applications. Conceptualizing, experimenting with, and assessing AI/ML-based software systems. Developing, testing, and maintaining high-quality, production-ready code. Demonstrating technical leadership by...
Delivering risk metrics and quantitative analytics for financial and non-financial risks across wealth management. Developing and deploying ML models for fraud and anomaly detection as well as business workflows enhancement....
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