Global Banking & Markets - New York - Vice President, Quantitative Engineering - 3937401
About The Position
Goldman Sachs & Co. LLC is seeking a Vice President, Quantitative Engineering in New York, New York. This role involves collaborating with internal stakeholders to analyze user needs from a scenario design perspective, addressing data, model, and implementation issues. The position requires analyzing large datasets (structured and unstructured) to build predictive models of business-relevant market variables. Key responsibilities include leading the development, implementation, and documentation of scenarios involving economic and financial variables, developing and maintaining electronic trading systems for hedging interest rate products, and implementing data-driven algorithms with statistical models to identify revenue opportunities. The role also involves building and implementing electronic trading algorithms, utilizing historical quantitative data for performance benchmarking, and communicating with trading and sales teams on daily issues, feature requests, and strategic direction. Additionally, the position includes mentoring junior and mid-level team members.
Requirements
- Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Applied Mathematics, or related quantitative field.
- Four (4) years of experience in the job offered or a related role.
- Four (4) years of experience with C++, Java, or Python.
- Four (4) years of experience developing automated quoting, risk management, hedging and execution algorithms.
- Four (4) years of experience with quantitative analysis using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms.
- Four (4) years of experience performing risk management or scenario-based analysis.
- Four (4) years of experience developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process.
- Four (4) years of experience with statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.
Responsibilities
- Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues.
- Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables.
- Lead the development, implementation, and documentation of scenarios comprised of a broad range of economic and financial variables for businesses within the Firm.
- Develop, maintain, and improve electronic trading systems for the hedging of interest rate products.
- Implement data-driven algorithms with statistical models across multiple interest rate products to identify and generate revenue opportunities.
- Build and implement electronic trading algorithms while and utilizing historical quantitative data to benchmark and improve algorithm performance against market-based metrics.
- Communicate with line trading and sales on day-to-day issues and short-term feature requests, as well as long-term requests and strategic direction.
- Mentor junior and mid-level team members.
Benefits
- Annual base salary for this New York, New York -based position is $74,000 - $276,000.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
