Asset & Wealth Management- Quantitative Engineer, Private Strats: New York Asset and Wealth Management Division - Engineering Goldman Sachs Quantitative Engineering is a leading developer of quantitative models and cutting edge systems to solve complex business problems. Working with the firm’s trading, operations, finance, sales, banking and investing businesses, engineers use their mathematical and scientific training to create financial products, advise clients on transactions, identify marke... more details
Asset & Wealth Management- Quantitative Engineer, Private Strats: New York
Asset and Wealth Management Division - Engineering
Goldman Sachs Quantitative Engineering is a leading developer of quantitative models and cutting edge systems to solve complex business problems. Working with the firm’s trading, operations, finance, sales, banking and investing businesses, engineers use their mathematical and scientific training to create financial products, advise clients on transactions, identify market opportunities, assist managing risks, and provide technical solutions to facilitate all business activities.
Goldman Sachs Asset and Wealth Management Division (AWM) is one of the four key revenue generating Divisions of the Firm. AWM Alternatives is the private side of Asset Management and invests in a wide range of global asset classes including: Private Credit, Real Estate, Corporate Private Equity, Growth Equity and Infrastructure worldwide. The AM Private Alternatives Strategists collaborate with investing and finance professionals to create quantitative computer models and web applications to support all aspects of the investing and lending life cycle. We create quantitative models and develop software applications to help structure, value, hedge, and risk manage the investments in our portfolios, and applications as an interface to those models. Members hold advanced degrees in Engineering, Computer Science, Mathematics and Physics. The team proactively collaborates with colleagues globally to ensure that the best solutions are implemented.
Your Impact
Within Goldman Sachs Asset Management, quantitative engineers work in close collaboration with all parts of the business across asset classes, building products for portfolio, fund, deal, and budgeting analytics and models.
We are interested in individuals who have strong coding skills and a continued interest to learn about finance. As a member of our team, you will use your training in programming, mathematics, and logical thinking to construct applications that drive our success. Your talents for analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
Job Overview
The Quantitative Engineer will be responsible for the design, development, and implementation of quantitative models and algorithms for a financial services company. This individual will work closely with traders, portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making. The Senior Quantitative Engineer will also lead the development of proprietary models to support the company's trading and investment strategies.
Key Responsibilities:
- 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 managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making
- Lead the development of proprietary models and algorithms to support the company's trading and investment strategies
- Communicate results and findings to stakeholders in a clear and concise manner
- Stay current with industry developments and new technologies
Qualifications:
- Advanced degree in a related field such as Mathematics, Physics, Computer Science, Financial Engineering or a related field.
- Strong programming skills in at least one language such as Python, R, C++ or Java
- Experience with machine learning, data mining, and statistical modeling
- Strong understanding of mathematical and statistical concepts, especially in finance
- Strong problem-solving skills and the ability to think critically
- Excellent communication skills and the ability to work well in a team environment
- Strong experience in financial markets, risk management and time series analysis.
- Working knowledge of Corporate Finance and Financing Mathematics
Experience:
- Minimum of 3+ years of experience in a quantitative role in a financial services company
- Experience with financial modeling or in the financial industry is a must
Salary Range
The expected base salary for this New York, New York, United States-based position is $115000-$180000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.
