Quantitative Researcher (Machine Learning)

Geneva Trading; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading global principal trading firm is seeking a talented Quantitative Researcher (Machine Learning) to join their competitive trading team in London. The role involves researching, developing, and deploying automated trading strategies using advanced machine learning techniques. Candidates should possess a Master's or PhD in a STEM field and have strong programming skills in Python. This is an excellent opportunity to work in a dynamic environment focused on innovation and excellence.

Qualifications

• 3+ years of applied machine learning experience in a commercial or academic setting.
• Strong programming skills in Python, including libraries like NumPy, Pandas, and Scikit-learn.
• Strong mathematical ability in linear algebra and calculus.

Responsibilities

• Design and execute research experiments to develop innovative models and strategies.
• Develop production-ready code for live trading integration.
• Monitor live trading strategies for performance issues.

Skills

Machine Learning

Multivariate Statistics

Time-Series Analysis

Optimization

Python

Data Preprocessing

Feature Selection

Model Training

Backtesting

Linear Algebra

Calculus

Education

Master’s or PhD in a STEM field

Tools

NumPy

Pandas

Scikit-learn

Q/KDB

Git

Job description

Quantitative Researcher (Machine Learning)

London, England, United Kingdom

Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.

Quantitative Researcher (Machine Learning)

We are seeking a talented Quantitative Researcher to join our competitive global quantitative trading team at Geneva Trading. In this role, you’ll research, develop, and deploy automated intraday and mid-frequency trading strategies using machine learning models and advanced quantitative methods. You’ll work with large datasets, applying statistical techniques to drive real-time trading decisions.

As part of a lean, skilled team, you will contribute across the entire pipeline, from data preprocessing to model deployment, ensuring the integration of research and real-time execution. This hands-on role combines quantitative research with software engineering, requiring strong coding abilities and the application of CI/CD, DevOps, and MLOps principles.

Key Responsibilities:

• Design and execute research experiments to develop innovative models and strategies, evaluating results rigorously.
• Develop production-ready code for live trading integration, collaborating with developers.
• Enhance research and trading infrastructure through machine learning methods, including data preprocessing, feature selection, model training, and backtesting.
• Monitor live trading strategies for performance issues such as covariate shift.
• Integrate external libraries into production code following best engineering practices.
• Optimize model training and backtesting using parallel, distributed, and cloud computing.
• Explore opportunities for strategy expansion across global futures products.
• Stay current with industry advancements through research, competitions, and online communities.

Required Qualifications:

• Academic Background: Master’s or PhD in a STEM field (e.g., Machine Learning, Computer Science, Physics).
• Experience: 3+ years of applied machine learning experience in a commercial or academic setting, or 3+ years in quantitative research or development in trading.
• Skills:
• Strong understanding of multivariate statistics, time-series analysis, machine learning, and optimization.
• Strong programming skills in Python, including libraries like NumPy, Pandas, and Scikit-learn.
• Familiarity with Q/KDB and Git.
• Strong mathematical ability in linear algebra and calculus.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Create a Job Alert

Interested in building your career at Geneva Trading? Get future opportunities sent straight to your email.

Apply for this job

indicates a required field

First Name *

Last Name *

Preferred First Name

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Education

School * Select...

Degree * Select...

Select...

LinkedIn Profile

Website

Where are you currently located? *

Do you have any Trading Industry experience? *

How does a decision tree model work, and when is it useful? *