Operations Analyst - London

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

• Trade support, including daily reconciliations of cash, positions, and trading activity.
• Liaising with counterparties and exchanges on daily issues.
• Build and maintain automated processes.
• Work with the technology team to develop new tools and applications.
• Managing cash/collateral across multiple brokers and clearing houses.
• Production of various reports (including P&L, risk, treasury).
• Live risk monitoring and escalation.
• Regulatory reporting monitoring.
• Participating in the on-call rota of the Operations team.
• Onboarding new exchanges, counterparties, brokers, or products around the world as the business expands.
• Opportunities to gain exposure to various assets classes across the entire trade life cycle.
• Ad-hoc trade executions.
• Ad-hoc data analysis and report generation.

Qualifications

• Bachelor’s or master’s degree (minimum 2:1) in Mathematics, Engineering or Computer Science.
• Between 2-3 years relevant industry experience.
• Programming experience (Python, Go) related to automation and data manipulation (SQL) is required.
• Demonstrable knowledge of at least one relevant asset class from a trading operations perspective is preferred.
• Strong analytical and problem-solving skills.
• Ability to analyse and debug problems in a fast-paced environment.
• Excellent communication and cross-team collaboration skills.
• Disciplined self-starter with a high degree of motivation and rigour.
• You like to challenge and be challenged to get the best solutions to a problem or process.

Interview Process

• 20-minute Teams interview with Hiring Manager or senior team member to discuss your experience and share information about the role.
• Home assignment – you will be sent a task based on a task you might complete in the role. This tests your ability to code up an automated solution to a business problem.
• Onsite – 4 interviews with members of the Operations team, each lasting one hour focused on the core skills for the role (maths/stats, problem solving, coding and some brainteasers).
• Final Interview – Final round interviews with our COO to focus your motivations, suitability for the role and firm, and broader behavioural questions.

Benefits

• Onsite gym, sauna, and fitness classes at no charge.
• Extensive medical benefits including an on-site doctor and therapist at no charge.
• Breakfast and lunch provided during weekdays.
• Various supports for caregivers, including emergency dependent care.
• 25 days paid holiday per year + statutory holiday and paid sick days.
• Generous compensation and pension contributions.