Global Banking & Markets - Quantitative Engineering - Trading Strats - Vice President - London

Goldman Sachs, Inc.; London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Goldman Sachs is seeking a Vice President for their Quantitative Engineering team in London. This role will focus on developing quantitative trading strategies, utilizing advanced statistical methods and programming skills across various financial products. The successful candidate will collaborate closely with traders to deliver impactful results, enhancing the firm's trading capabilities through automation and analytics.

Qualifications

• Advanced academic profile in a quantitative field essential.
• Programming skills in C++, Java, or Python required.
• Experience with statistical methods and AI techniques preferred.

Responsibilities

• Lead Quantitative Trading & Market Making desk.
• Develop market making and quoting strategies for various products.
• Implement risk management frameworks and create model calibration structures.

Skills

Statistical Analysis

Neural Networks

Model Calibration

Risk Management

Market Making

Education

Degree in Physics

Degree in Mathematics

Degree in Statistics

Degree in Engineering

Degree in Computer Science

Tools

C++

Java

Python

Job description

Global Banking & Markets - Quantitative Engineering - Trading Strats - Vice President - London

Goldman Sachs, Inc. London, United Kingdom

Job Description

In Goldman Sachs, quantitative strategists are at the cutting edge of our businesses, solving real-world problems through analytical methods. Working closely with traders and sales, strats 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 daily decisions. We work across various products such as stocks, options, ETFs, and futures, with strategies including 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 deliver value to clients and the firm.

Role Responsibilities

• Lead our Quantitative Trading & Market Making desk, developing market making and quoting strategies for equities, derivatives, and cash products.
• Apply advanced statistical and AI techniques, such as neural networks, to build models that inform systematic trading and risk management decisions in real time.
• Implement risk management frameworks and develop optimal portfolios across asset classes using factor models and other techniques.
• Create model calibration frameworks for large-scale statistical and AI models operating on extensive time series data.
• Advance market making strategies using various technologies in collaboration with Quant Developers and engineering teams.

Basic Qualifications

• Strong academic background in a quantitative field such as physics, mathematics, statistics, engineering, or computer science.
• Proficient programming skills in C++, Java, or Python, with experience in object-oriented or functional programming.

About Goldman Sachs

Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm headquartered in New York, with offices worldwide. We are committed to fostering diversity and inclusion, providing growth opportunities, and supporting our community. Learn more at GS.com/careers.

We are dedicated to providing reasonable accommodations for candidates with disabilities during our recruitment process. More information is available at 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, committed to diversity and inclusion.

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