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GBM Public: FICC SMM Quantitative Researcher, ASO/VP, London

London
Posted 15 days ago
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GBM Public: FICC SMM Quantitative Researcher, ASO/VP, London

FICC Quantitative Researcher, Associate / VP, London 

We are a team of FICC Quantitative Researchers who work to transform the Fixed Income, Currencies, and Commodities (FICC) business through quantitative trading, automating the key decisions taken every day. Our team has a wide remit across product types such as Interest Rates (IR), Foreign Exchange (FX), Credit, and Commodities, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models, including advanced machine learning and AI, to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm.

Role Responsibilities:

  • Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across FICC products.
  • Use advanced statistical analysis and quantitative techniques such as neural networks, machine learning, and factor models to build models that drive systematic alpha strategies which make real-time trading and risk management decisions.
  • Implement frameworks to manage risk centrally and build optimal portfolios across FICC asset classes.
  • Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data, ensuring accuracy and compliance.
  • Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core engineering teams to enhance core analytics infrastructure and trading tools.
  • Develop and enhance critical pricing, trading, and risk tools, and create new frameworks leveraging trade and franchise data to optimize and systematize market making and hedging strategies.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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 paradigm such as C++, Java, or Python.
  • Self-starter with strong self-management skills, ability to manage multiple priorities and deliver in a high-pressure environment.

Excellent written and verbal communication skills, with the ability to articulate complex quantitative concepts to both technical and non-technical 

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. 

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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 opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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Skills

Quantitative Trading
Market Making
Machine Learning
Neural Networks
Factor Models
C++
Java
Python
Statistical Analysis
Risk Management
Model Calibration
Time Series Analysis
Algorithmic Execution
FICC Products
Object-Oriented Programming
Functional Programming

Location

London, England, United Kingdom

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