Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Global Banking & Markets, Quantitative Researcher, Trading Strats, Associate, London

WeAreTechWomen
London
1 month ago
Applications closed

Related Jobs

View all jobs

Global Banking & Markets, Quantitative Researcher, Trading Strats, Associate, London

Global Banking & Markets, Quantitative Researcher, Trading Strats, Associate, London

Global Banking & Markets - Quantitative Researcher - Associate / VP -London

Global Banking & Markets - Quantitative Developer - VP - London

Global Banking & Markets - Quantitative Researcher - Associate / VP -London

Global Banking & Markets - Quantitative Engineering - Vice President - London (London)

Job Description

JOB DESCRIPTION

In Goldman Sachs, quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working closely with traders and sales, strategists provide invaluable quantitative insights into complex financial and technical challenges that drive our business decisions.

We are a team of strategists working to transform the Equity business through quantitative trading and automation of key daily decisions. Our scope includes product types such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We deploy statistical analysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm.

Role Responsibilities

  1. Lead our Quantitative Trading & Market Making desk by developing market making and quoting strategies across equity products, from cash to derivatives.
  2. Utilize advanced statistical analysis and techniques such as neural networks to build models that inform systematic trading and risk management decisions in real time.
  3. Implement frameworks for centralized risk management and construct optimal portfolios across asset classes using factor models and other techniques.
  4. Develop model calibration frameworks for our statistical and AI models, operating at scale with large datasets of time series data.
  5. Advance our market making strategies using various technologies and collaborate closely with Quant Developers and engineering teams.

Basic Qualifications

  • Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.
  • Strong programming skills in an object-oriented or functional language such as C++, Java, or Python.
  • Self-motivated with strong self-management skills, capable of managing multiple priorities and delivering under pressure.
  • Excellent written and verbal communication skills.

About Goldman Sachs

At Goldman Sachs, we dedicate our people, capital, and ideas to help our clients, shareholders, and communities grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm headquartered in New York with offices worldwide.

We believe your unique qualities enhance your professional contributions. We are committed to fostering diversity and inclusion, providing opportunities for professional and personal growth through training, development, networks, benefits, wellness, and mindfulness programs. Learn more about our culture, benefits, and people atGS.com/careers.

We are also dedicated to providing reasonable accommodations for candidates with disabilities during our recruitment process. More information can be found atdisability statement.


#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.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.

10 Data Science Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With AI/ML embedded across industries, UK demand for data scientists is rising fast. Lightcast data shows +48 % year‑on‑year growth in UK job ads referencing “data science”, “ML”, “NLP” or “predictive analytics” during Q1 2025. Yet fewer than 16,000 fully credentialled data scientists are active, while monthly live roles hover around 1,700–2,000. Specialist recruiters offer the best access to curated roles, salary insights and prepped interview support. We screened 60+ agencies and included only those with: UK-registered head offices (Companies House verified) A named Data Science / Analytics practice ≥5 UK data science roles advertised between March–June 2025 This guide features the UK’s top 10 data science recruiters, salary benchmarks, in-demand skills, interview prep tips, FAQs and next steps.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.