Junior Quant Analyst

The Firm

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani.

We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.

XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities.

At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.

 

The Role 

XTX is seeking a Junior Quant Analyst role to work in our New York office to work with a new, small team on an exciting new project. Further details will be disclosed at interview stage.

Responsibilities

• Conduct market structure and micro-structure research.
• Develop and test statistical and ML-based methods for forecasting.
• Translate mathematical and statistical research into production-grade trading signals and decision support tools.
• Prototype and refine models using Python.

Essential Attributes

• Ph.D. (or equivalent research experience) in Mathematics, Statistics, Physics, Operations Research, Computer Science, or a related quantitative discipline. We are open to fresh graduates or those with up to 3 years industry experience.
• Strong expertise in probability, statistics, and inference.
• Solid background in linear algebra, optimization, and numerical methods.
• Proven ability to translate theory into robust, practical models.
• Mastery of Python and scientific libraries (NumPy, SciPy, Pandas, scikit-learn, statsmodels, XGBoost).
• Independent researcher mindset with evidence of innovation (papers, patents, or equivalent).

 

Preferred Attributes

• Publications in applied mathematics, statistics, or ML journals.
• Recognition through open-source contributions, patents, or quantitative competitions (e.g., Kaggle).

 

Additional Notes

You must be able to start full-time work in our New York office within 3 months. You must be authorised to work full-time in the USA. 

The base salary range for this role is between $150,000 to $225,000 depending on relevant job-related skills and experience. You will be eligible for participation in a discretionary annual performance bonus scheme and will enjoy a comprehensive package of benefits. All bonuses, benefits, and any sign-on payments are in addition to the base salary range stated. A generous relocation package is available if required.