Global Banking & Markets, Structured Credit (SFL) Desk Strat, Associate, London

Goldman Sachs
London
1 year ago
Applications closed

Related Jobs

View all jobs

Distinguished Engineer - AI & Data Science

[Apply Now] Data Scientist

Apply Now! Head of Analytics & Data Science DecisionSciences & Machine Learning · ·

Computer Vision Engineer

Computer Vision Engineer

Computer Vision Engineer

What we do

Structured Finance & Lending (SFL) Strats Team within Global Markets Division (GMD) is responsible for modeling and pricing of structured trades, as well as building risk management tools for SFL businesses and clients using cutting edge quantitative, machine learning, and other AI techniques. The business focuses on providing customized financing solutions to clients, which covers a wide range of collateral asset classes such as private credit and equity, capital calls or specialty assets, in the forms of Loans, Repurchase Agreements (Repos), Asset-Backed Securities and Derivatives. This role offers a unique opportunity to work within the Structured Financing and Lending businesses to deliver tailored solutions to our clients while gaining exposure to a wide range of asset classes.

Your Impact

SFL Strats play a critical role in deal structuring, pricing, execution and risk management. This is a highly visible platform to put quantitative skills and knowledge in use to make a direct impact on business growth. You will gain familiarity with different asset classes & risk factors while working on various trades and projects and build a broad foundation of product knowledge.

Responsibilities

Improve existing pricing models and create new ones for structured products. Understand transaction risks and analyze drivers of profits and losses. Provide analysis for new transactions. Drive commercial outcomes using data. Improve existing and create new models for the pricing and analysis of derivatives, public/private market assets and transactions Identify, curate, and integrate new structured and unstructured datasets into models. Build end to end solutions from data collection to automated actions.

Who We Look For

Strong quantitative and coding skills with desire to develop commercial mindset Solid work ethics, team oriented, high levels of motivation. Ability to work in fast-paced environment and time-sensitive situations. Effective communication skills in verbal and writing to both technical and business audience.

Basic Qualifications

Excellent academic record in a relevant quantitative field such as Mathematics, Physics, Engineering or Computer Science. Strong math and quantitative skills Experience in object-oriented programming with a language such as C++, Java or Python. Knowledge of Stochastic calculus and derivatives pricing, or Machine Learning background Knowledge of credit market and products, interest rates, FX, or risk management is preferred.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.