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Goldman Sachs is Hiring a Wealth Management-New York-Associate-Quantitative Engineering Near New York, NY
Job DescriptionAsset & Wealth Management – Associate Quantitative Strategist in Wealth Management StratsOur quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment. ResponsibilitiesAs a strategist on our Wealth Management Strats team, you will work closely with various teams including risk management and fraud strategy. Y ou will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability. Responsibilities Include
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
Building and maintaining robust and systematic risk management tools and reporting
About Goldman Sachs Wealth ManagementAcross Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data, and design. Basic Qualifications
Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering
1-3 years of experience in the job offered or related quantitative financial modeling and software development positions
Programming and mathematical skills are required
Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus
Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark
Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences
A self-starter, should have ability to work independently as well as thrive in a team environment