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Finance Engineering - Vice President Corporate Treasury - Leap Strats


Job details
  • Goldman Sachs
  • London
  • 3 weeks ago
Applications closed

Finance Engineering - Vice President Corporate Treasury - Leap Strats

Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.In Corporate Treasury (CT) Engineering, you'll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us - a high return for the right risk taken.Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm's liquidity and managing its risk.The mission statement of this pillar within CT is two pronged: a classic desk strat role of trading's support for all intercompany bookings which impact various Liquidity/Credit limits as well as building modelling & analytics surrounding liquidity explain & trade recommendations.Job DutiesWork as a quantitative strategist to build, enhance and analyse mathematical models designed to optimize liquidity usage in the firm.Build quantitative tools to attribute, explain and perform scenario analyses on various liquidity metrics.Write model documents and execute model validation process in accordance with firm policy for quantitative models.Collaborate with non-engineers to explain model behaviour.Basic QualificationsAdvanced degrees (PhD or Masters) in quantitative field such as Engineering, Mathematics, or Physics5+ years of relevant experience, preferably in the financial services industryStrong analytical, mathematical, and programming backgroundExpertise in Python, or similar language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming conceptsExpertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling.Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging strategies and risk management.Excellent communication skills, including experience speaking to both technical and business audiences and working globally across multiple regions.

ABOUT 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.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:https://www.goldmansachs.com/careers/footer/disability-statement.html

The Goldman Sachs Group, Inc., 2023. All rights reserved.Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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