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

WeAreTechWomen; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An innovative trading team seeks a passionate quantitative researcher to apply scientific methods in solving complex problems. This role involves analyzing large datasets to generate high-quality predictive signals and implementing trading strategies in a production environment. Ideal candidates will possess strong programming skills, particularly in Python, and have experience in systematic trading. Join a forward-thinking organization committed to diversity and inclusion, where your contributions will significantly impact the trading landscape and foster professional growth. If you thrive in a collaborative environment and are eager to tackle challenging projects, this opportunity is perfect for you.

Qualifications

• Advanced degree in quantitative fields required.
• 1-3 years experience as quantitative researcher/trader preferred.

Responsibilities

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

Skills

Mathematics

Statistics

Machine Learning

Python Programming

Version Control (Git)

Communication Skills

Education

Master's Degree in Math/Statistics/Physics/Engineering/Computer Science

Ph.D. in relevant field

Tools

Linux Environment

Job description

Who we are

We are a trading team who leverages cutting-edge quantitative methods and a wide range of datasets to manage the inventory and Reasonably Expected Near Term Demand (RENTD) in the macro space (FX, Rates, Equity Indices and Commodities).

Who we are looking for

We are looking for a researcher with a passion for applying a rigorous scientific approach and quantitative methods to solve problems in different aspects of our daily work, including but not limited to alpha generation, portfolio construction, and risk management. Strong programming skills will be required as researchers will be expected to take their research ideas and code them in our production system.

Requirements

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

Background

1. An advanced degree in Math/Statistics/Physics/Engineering/Computer Science. Master or Ph.D.
2. 1-3 years of experience working as a quantitative researcher/quantitative trader in the systematic trading space
3. Experience in systematic macro space (FX/Rates/Commodity/EQ Index Futures) is a plus

Skillset

1. Strong in mathematics, statistics, and machine learning
2. Strong programming skills - specifically in Python
3. Well versed in version control tools such as Git
4. Experience in developing in a Linux environment is a plus
5. Strong communication skills

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.

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 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, veteran status, disability, or any other characteristic protected by applicable law.