
Quantitative Strategist, Global Banking & Markets, FICC Resource Management
Required skills
- quantitative
- analytical methods
- quantitative perspectives
- optimization
- capital allocation
- liquidity management
- fee and expenses optimization
- statistical modelling
- quantitative modelling
- programming skills
Nice to have
- commercial focus
- team oriented
- self-motivated
- trading desk
- CCAR
- Basel III
Role summary
Goldman Sachs is seeking a Quantitative Strategist for their Global Banking & Markets, FICC Resource Management team in New York City. This role focuses on optimizing scarce resources like capital and liquidity through advanced quantitative modeling and programming. The strategist will create innovative models, apply numerical optimization techniques, and develop a deep understanding of regulatory capital and risk modeling. The position requires strong academic background in a quantitative field and proficiency in languages such as C, C++, Python, or Java, with an interest in financial markets. Preferred qualifications include experience on a trading desk and exposure to recent regulatory developments.
What We Do
At Goldman Sachs, quantitative strategists are the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, strats' invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.
Within the firm's Global Banking & Markets business, our Resource Management Strats team is central to decisions made by senior business leaders, deploying actionable strategies to enhance business performance and drive cross-business initiatives in partnership with the leadership team. Our team works across various functions such as capital allocation, liquidity management, fee and expenses optimization, etc.
Who We Look For
For this position, we are seeking an Analyst- or Associate-level professional. The chosen individual will focus on optimization of scarce resources (Capital and Liquidity) and should demonstrate strong statistical, quantitative modelling, and programming skills as well as excellent communication, presentation, and interpersonal skills. Our current portfolio of projects has a significant impact on the bottom-line of the firm. Yet, simultaneously, the bespoke nature of our team allows flexibility to onboard any new ideas with commercial impact.
How Will You Fulfill Your Potential
- Create innovative models and calculators to help drive our Capital and Liquidity optimization efforts across the firm's Global Banking & Markets business.
- Apply numerical optimization techniques to the minimization of the firm’s scarce resources (capital, initial margin, contingent liquidity).
- Develop a deep understanding of regulatory capital, methodology, and model implementation.
- Stay abreast of industry best practices, regulatory changes, and advancements in quantitative finance and risk modelling.
- Interact with business leaders to explain your findings and drive their implementation.
Basic Qualifications
- Strong academic background in quantitative field such as Computer Science, Applied Mathematics, Physics, Engineering, Statistics, etc.
- Strong programming background in a structured language such as C, C++, Python, Java.
- Interest in financial markets/products.
Preferred Qualifications
- Commercial focus, team oriented, self-motivated.
- Excellent written and verbal communication skills.
- Experience working on a trading desk.
- Exposure to recent regulatory developments (CCAR, Basel III, Balance Sheet, LCR, NSFR).
- Intellectual curiosity, follow through.
Salary Range
The expected base salary for this New York, NY, United States-based position is $150000-$300000. 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.
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