Operations Analyst - New York

Job Description

Salary: N/A Location Type: On-site (at least 4 days a week in office) Employment Type: N/A

The Firm

XTX Markets is a leading algorithmic trading firm that utilizes state-of-the-art machine learning technology to generate price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities, and crypto. We leverage these forecasts to trade on exchanges and alternative trading venues, and to provide differentiated liquidity directly to clients globally. The firm trades over $250bn daily across 35 countries and employs over 250 individuals based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan, and Kajaani.

We harness the talent of our team, modern computational techniques, and a state-of-the-art research infrastructure to analyze large datasets across markets efficiently, thereby maximizing the effectiveness of our proprietary trading algorithms. We are continuously seeking new methods and ideas. The models that drive our trading strategies have evolved significantly over the past decade, from econometric methods that gave our company its name, to trees, neural networks, and modern deep learning architectures.

XTX Markets possesses an unparalleled level of computational resources within the trading industry. Our growing research cluster currently comprises over 25,000 GPUs with 650 petabytes of usable storage. Our teams include world-class researchers with backgrounds in pure mathematics, programming, physics, computer science, and machine learning. The firm is also constructing a large-scale data center in Finland to ensure the future-proofing of its substantial computational capabilities.

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

The Role

An operations role at XTX offers exposure across all business areas. You will have the opportunity to take ownership of 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 involve regular interaction with other teams and external counterparties.

Our ethos is to develop robust, scalable solutions that enhance team efficiency and data accuracy. This is an opportunity to participate in the growth of a company where decisions have a tangible impact. The influence of operations at XTX extends far beyond what is typically seen in larger institutions.

XTX is seeking technically minded candidates with enthusiasm and initiative. This role presents an opportunity to contribute to a small team with new ideas and make a real, positive impact on the team itself, as well as the firm.

The team has a presence in London, Singapore, New York, and Paris. This specific role is based in New York. We work in the office at least 4 days a week.

Responsibilities

• Trade support, including daily reconciliations of cash, positions, and trading activity.
• Liaise with counterparties and exchanges on daily issues.
• Build and maintain automated processes in Go.
• Work with the technology team to develop new tools and applications.
• Manage cash and collateral across multiple brokers and clearing houses.
• Produce various reports (including P&L, risk, and treasury).
• Monitor risks and escalate issues as necessary.
• Monitor regulatory reporting.
• Participate in the on-call rota of the Operations team.
• Onboard new exchanges, counterparties, brokers, and products worldwide as the business expands.
• Gain exposure to various asset classes across the entire trade life cycle.
• Execute ad-hoc trades.
• Perform ad-hoc data analysis and generate reports.

Essential Attributes

• Bachelor’s or Master’s degree with a minimum