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

WeAreTechWomen; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading global investment firm in London seeks a Quantitative Strategist to enhance trading strategies and automate key decisions. Responsibilities include developing advanced models for equities and managing risk through quantitative analysis. Ideal candidates will have a strong quantitative background and proficiency in programming languages such as C++, Java, or Python. The firm promotes diversity and provides various training and wellness programs.

Benefits

Diversity and inclusion programs

Training and professional growth opportunities

Qualifications

• Strong academic background in physics, mathematics, statistics, engineering, or computer science.
• Proficiency in programming languages like C++, Java, or Python.
• Self-motivated with excellent self-management skills.

Responsibilities

• Lead Quantitative Trading & Market Making desk developing strategies for equities.
• Develop models using advanced statistical and quantitative techniques.
• Create frameworks for central risk management and optimal portfolio construction.

Skills

Statistical analysis

Mathematical modeling

Programming in C++, Java, or Python

Education

Strong academic background in a relevant quantitative field

Job description

MORE ABOUT THIS JOB

Job Description

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

We are a team dedicated to transforming the Equity business through quantitative trading and automation of key decisions. Our scope includes product types such as stocks, options, ETFs, and futures, with strategies encompassing market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and work closely with traders and sales teams to deliver value to clients and the firm.

Role Responsibilities

• Lead our Quantitative Trading & Market Making desk by developing market making and quoting strategies for equities, from cash to derivatives.
• Develop models using advanced statistical and quantitative techniques, including neural networks, to inform systematic trading strategies and real-time risk management decisions.
• Create frameworks for central risk management and optimal portfolio construction across asset classes using factor models and other methodologies.
• Design model calibration frameworks for large-scale statistical and AI models operating on extensive time series data.
• Advance our market making strategies through technological development and collaborate with Quant Developers and engineering teams.

Basic Qualifications

• Strong academic background in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science.
• Proficiency in programming languages like C++, Java, or Python, with an object-oriented or functional approach.
• Self-motivated with excellent self-management skills, capable of handling multiple priorities in high-pressure environments.
• Effective written and verbal communication skills.

About Goldman Sachs

Goldman Sachs is committed to fostering diversity and inclusion, offering opportunities for professional and personal growth through training, networks, benefits, wellness, and mindfulness programs. Founded in 1869 and headquartered in New York, we operate globally to serve our clients and communities.

We provide reasonable accommodations for candidates with disabilities during our recruitment process. Learn more 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 and does not discriminate based on race, color, religion, sex, national origin, age, veteran status, disability, or other protected characteristics.