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An established industry player is seeking a motivated operations professional to enhance trading efficiency and data accuracy. This role offers a unique opportunity to engage in diverse operations across various asset classes, where your contributions will directly impact the firm's trading strategies. You will collaborate with talented teams, utilizing advanced programming skills in Python and Go to automate processes and resolve challenges in a fast-paced environment. Join a dynamic organization that values innovation and teamwork, and make a significant difference in the world of algorithmic trading.
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
An operations role at XTX will provide exposure across all areas of the business. You will be given the opportunity to take ownership over processes early on. With the guidance of the team, candidates will improve and develop new processes using a range of technical skills such as Go and SQL. Resolving a broad set of daily issues will mean regularly interacting with other teams and external counterparties.
Our ethos is to develop robust, scalable solutions that improve the efficiency of the team and accuracy of our data. This is an opportunity to take part in the growth of a company where decisions make a difference. The impact of operations is far beyond what you usually see within large institutions.
XTX are looking for technically minded candidates with enthusiasm and initiative. The role is an opportunity to contribute to a small team with new ideas and make a real and positive impact to the team itself, as well as the firm.
The team has presence in London, Singapore, New York, and Paris. This role is for London. We work in the office at least 4 days a week.
Responsibilities
Interview Process
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Q1: Please provide 2 examples where you identified a process/task that could be automated, and how you went with automating it (how manual it was, what did you notice could help with automation and how you practically automated it) *
Q2: Please pick a type of product (FX, Equity, Futures, Options and/or Crypto) and describe in details a concept/setup related to it, from an operations perspective (e.g. describe the process around locates for cash equities and the differences between Europe and US) *
Q3: What do you like the most about operations ? *