Global Banking & Markets, Quantitative Researcher/Trader, Analyst / Associate, London

Goldman Sachs Group, Inc.; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Quantitative Researcher/Trader to join their dynamic trading team in London. This role involves leveraging advanced quantitative methods and diverse datasets to enhance trading strategies across macro markets. The ideal candidate will possess strong programming skills, particularly in Python, and will be passionate about applying rigorous scientific methods to tackle challenges in alpha generation and risk management. With opportunities to contribute to research and trading tools, this position is perfect for those looking to make a significant impact in a fast-paced environment.

Qualifications

• Advanced degree in quantitative fields is required.
• 1-3 years of experience in systematic trading or research.

Responsibilities

• Analyze large datasets to derive predictive signals.
• Implement trading signals in a production environment.

Skills

Mathematics

Statistics

Machine Learning

Python Programming

Data Analysis

System Design

Education

Master's or Ph.D. in Math, Statistics, Physics, Engineering, or Computer Science

Tools

Git

Linux

Job description

Global Banking & Markets, Quantitative Researcher/Trader, Analyst / Associate, London

Job Description

Who we are

We are a trading team that leverages cutting-edge quantitative methods and a wide range of datasets to manage inventory and reasonably expected near-term demand (RENTD) in the macro space (FX, Rates, Equity Indices, and Commodities).

Who we are looking for

We seek a researcher passionate about applying rigorous scientific and quantitative methods to solve problems related to alpha generation, portfolio construction, and risk management. Strong programming skills are essential, as researchers will be expected to implement their research ideas into our production systems.

Requirements

• Ability to analyze large, unstructured datasets and derive high-quality predictive signals
• Ability to implement trading signals in a production environment
• Strong computer programming and system design skills
• Contribute to the team’s research and trading tools library
• Experience in portfolio construction is a plus

Background

• Advanced degree in Math, Statistics, Physics, Engineering, or Computer Science (Master's or Ph.D.)
• 1-3 years of experience as a quantitative researcher or trader in systematic trading
• Experience in systematic macro markets (FX, Rates, Commodities, Equity Index Futures) is a plus

Skillset

• Strong knowledge in mathematics, statistics, and machine learning
• Proficiency in Python programming
• Experience with version control tools such as Git
• Experience developing in Linux environments is a plus