Global Banking & Markets - Quantitative Researcher - Associate / VP -London London United Kin ...

Goldman Sachs Bank AG; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading global investment firm in London seeks a Quantitative Researcher (Associate/VP) to lead quantitative trading strategies across various products. The role demands a strong academic background in quantitative fields and proficiency in programming languages. Responsibilities include developing models for trading decisions and risk management, and collaborating with technical teams. Comprehensive benefits and professional growth opportunities are available.

Benefits

Comprehensive benefits

Professional growth opportunities

Wellness programs

Qualifications

• Strong academic background in a quantitative field.
• Proficiency in programming languages like C++, Java, or Python.
• Excellent management skills under pressure.

Responsibilities

• Lead our Quantitative Trading & Market Making desk.
• Apply AI techniques and build models for systematic trading.
• Develop frameworks for risk management and portfolio optimization.

Skills

Statistical analysis

Machine learning

Communication skills

Collaboration

Education

Strong academic background in physics, mathematics, statistics, engineering, or computer science

Tools

C++

Java

Python

Job description

Overview

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

MORE ABOUT THIS JOB

Role Description

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

Our team focuses on transforming the Equity business through quantitative trading and automation of key decisions. We handle various products such as stocks, options, ETFs, and futures, employing strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and collaborate with traders and sales to add value for clients and the firm.

Responsibilities

• Lead our Quantitative Trading & Market Making desk, developing strategies for equities, derivatives, and cash products.
• Apply advanced statistical and AI techniques, including neural networks, to build models that inform systematic trading and risk decisions in real time.
• Develop frameworks for risk management and portfolio optimization across asset classes using factor models and other techniques.
• Create scalable model calibration frameworks for large-scale time series data using statistical and AI models.
• Advance our market-making strategies through technological development, collaborating with Quant Developers and engineering teams.

Basic Qualifications

• Strong academic background in physics, mathematics, statistics, engineering, or computer science.
• Proficiency in programming languages such as C++, Java, or Python.
• Self-motivated with excellent management skills, capable of handling multiple priorities under pressure.
• Excellent communication skills, both written and verbal.

Goldman Sachs is committed to diversity and inclusion, offering professional growth opportunities, comprehensive benefits, wellness programs, and accommodations for candidates with disabilities. Learn more at