Junior Quantitative Researcher - Armenia

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, New York, Singapore, 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, developers and technologists 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.

We are looking for Junior Quantitative Researchers for our Armenia-based office in Yerevan where we focus on low frequency signals.

Trading algorithms are developed by the quant team, which is a mix of senior-level experts with experience in international trading and asset management firms, as well as talented ambitious graduates from top universities. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other.

As a Junior Quantitative Researcher, you will develop predictive models for financial instruments. The right candidates will enjoy an opportunity to contribute to existing and new trading strategies. They will have access to various financial datasets and significant computing resources.

This is not a data science position. We focus on economically sound ideas.

On successful completion of the applicable probation period, candidates will be promoted to the position of Quantitative Researcher.

• Degree in Mathematics, Physics, Computer Science, or another highly quantitative field with high GPA from a top university.
• Good knowledge of statistics.
• Solid programming skills.
• Strong evidence of ability to conduct independent research in a highly competitive environment.
• At least intermediate level of English and Russian.

• Outstanding aptitude evidenced by a track record of resolving problems of both a practical and analytical nature.
• Olympiad medals in any quantitative field or contest (Kaggle, hackathons, academic contests etc.).
• Competency in C++ and Python, including data science packages.
• Understanding of machine learning techniques and algorithms.
• Knowledge of economics and finance.
  
  

Our interview process seeks to gain signal in the following topics:

• Statistics.
• Probability theory.
• General mathematics (linear algebra, analysis etc.).
• Computer science / algorithms.

The interview process is as follows:

• Online test covering the above topics.
• 4-5 interviews (phone/video/onsite) with quant researchers that involve questions and problems on the above topics.

Success Criteria:

• We seek to get a broad signal in our process. Successful candidates are those who are strong in all areas and exceed expectations in at least one.