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Quantitative Engineering, Liquidity Metrics Strats, Dallas, Vice President

Goldman Sachs

LIQUIDITY METRICS STRATSLiquidity and Prime Risk Strats use their engineering and mathematical background to identify and measure risk and to implement quantitative and technical risk modelling solutions. Successful Strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity. As a part of the team, you will work with our key business partners and understand financial markets to quantify the firm’s liquidity risk. You will also focus on developing quantitative models & scalable architecture.RESPONSIBILITIESDevelop, implement, and maintain quantitative measures of liquidity risk using advanced mathematical/statistical/engineering approachesPerform quantitative analysis and facilitate understanding of a variety of financial instruments, including secured funding transactions, collateral firm and client inventory, and loans and commitmentsQuantify and monitor measures of risk in different areas across the firm, such as prime brokerage, synthetic trading, and repo tradingWork alongside revenue generating functions and corporate treasury to implement the liquidity regulatory requirementsCommunicate clearly complex mathematical concepts with internal and external stakeholders such as risk managers, senior management and regulators.Updating and maintaining risk models along with business growth and risk environment changesDeveloping and maintaining large scale risk infrastructures/systems in a compiled or scripting languageQUALIFICATIONSAt least 7 years of prior experience in the financial industry, preferably in Capital Markets, Risk or Treasury functionsStrong quantitative skills with an advanced degree in Mathematics, Physics, Engineering or other highly quantitative disciplineStrong programming experience in at least one compiled or scripting language (e.g. C, C++, Java, Python)Strong written and verbal communication skills – ability to explain complex quantitative concepts to a non-technical audienceStrong analytical and problem solving skills using math, statistics, and programmingDemonstrated ability to learn technologies and applyFamiliarity with financial markets, financial assets and liquidity risk management practices is a plusABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. Posting Date: 2026-05-18

Vacancy posted 3 days ago
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