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

Goldman Sachs Group, Inc.; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading financial institution in London seeks a skilled Quantitative Strategist to innovate trading strategies across equities products. The role demands excellent analytical and programming skills, specifically in C++, Java or Python, alongside the ability to manage risk through advanced statistical techniques. The strategist will collaborate closely with traders on the trading floor to enhance business performance and client value. If you have a strong academic background in quantitative fields, apply now to contribute at the forefront of finance.

Qualifications

• Excellent academic record in a quantitative field.
• Strong programming skills in C++, Java or Python.
• Ability to manage multiple priorities in a high-pressure environment.
• Excellent written and verbal communication skills.

Responsibilities

• Lead on Quantitative Trading & Market Making desk, building strategies across equities.
• Use statistical analysis and quantitative techniques to build models driving systematic strategies.
• Implement frameworks for central risk management and optimal portfolios.
• Build calibration frameworks for statistical and AI models with time series data.
• Drive market making strategy development and collaborate with engineering teams.

Skills

Statistical analysis

Programming in C++, Java or Python

Self-management skills

Communication skills

Education

Relevant quantitative field (e.g., physics, mathematics, statistics, engineering, computer science)

Job description

MORE ABOUT THIS JOB Job Description

In Goldman Sachs quantitative strategists are a the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, strats' invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.

We are a team of strategists who work to transform the Equity business through quantitative trading, automating the key decisions taken every day. Our team has a wide remit across product types such as stock, options, ETFs and futures, 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 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 equities products from cash to derivatives.
• Use advanced statistical analysis and quantitative techniques such as neural networks to build models that drive systematic strategies which make trading and risk management decisions in real time.
• Implement frameworks to manage risk centrally and build optimal portfolios across asset classes using factor models and other techniques.
• Build model calibration frameworks for our advanced statistical and AI models, operating at scale with large quantities of time series data.
• Drive our market making strategy development using a range of technologies, and collaborate closely with Quant Developers and core 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 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.

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.