Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Finance Engineering - Vice President Corporate Treasury - Leap Strats

Goldman Sachs
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist – Cost Engineering (FinOps)

Quantitative Researcher – Machine Learning-Driven Systematic Trading Firm (London)

Data Scientist - NPL & Unsecured Portfolios

Machine Learning Engineer

Data Scientist

Natural Language Processing Researcher

Finance Engineering - Vice President Corporate Treasury - Leap Strats
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 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. 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:

 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

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.