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Finance Engineering - Vice President Corporate Treasury - Leap Strats

Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Finance Engineering - Vice President Corporate Treasury - Leap StratsIn Corporate Treasury (CT) Engineering, youll 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 firms liquidity and managing its risk. The mission statement of this pillar within CT is two pronged: a classic desk strat role of tradings support for all intercompany bookings which impact various Liquidity/Credit limits as well as building modelling & analytics surrounding liquidity explain& trade recommendations. Job Duties

  • Work 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 Qualifications
  • Advanced degrees (PhD or Masters) in quantitative field such as Engineering, Mathematics, or Physics
  • 5+ years of relevant experience, preferably in the financial services industry
  • Strong analytical, mathematical, and programming background
  • Expertise in Python, or similar language; experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts
  • Expertise 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. Were 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 andpersonally, 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. Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://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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