The Firm

XTX Markets is an algorithmic trading firm that actively trades tens of thousands of instruments on over eighty venues with a daily volume of almost three hundred billion USD. We partner with counterparties, exchanges, and e-trading venues globally to provide consistent liquidity in the Equity, FX, Fixed Income, Commodity & Options markets, helping market participants throughout the world obtain the best prices in the various assets classes we cover.

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 maximise the effectiveness of our proprietary trading algorithms. 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. We are actively seeking new methods and ideas.

At XTX Markets technology is our business and we are a diverse organisation 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

The “Trading Desk” oversees real-time trading across all strategies, liaising with risk managers, senior management, researchers, software developers, systems engineers, external counterparties, and customers in order to keep the business running 24/7. They closely monitor real world events and their impact on markets and if necessary, undertake the appropriate action to ensure the best outcome for XTX, our customers, and counterparties. You will be expected to work from the NY office at least 4 days per week.

Responsibilities

• Supervise trading strategies and provide first level support to ensure smooth running of the business.
• Risk management of the global portfolio across multiple asset classes throughout the day.
• Use trading metrics and data analysis methods in the decision-making process to improve existing strategies.
• Conduct preliminary research into new strategy ideas.
• Collaborate with quant research team to provide real-time feedback on model optimization.
• Assist with project work relating to expansion into new markets.
• Team up with developers to improve automated tools for monitoring trading and alerting of internal and external anomalies.
• Liaise with brokers/exchanges, trading operations and back office on trade/position reconciliation issues, risk limits and margin requirements.
  
  

Essential Attributes

• You will have 0-4 years working experience and will be able to demonstrate excellent trading intuition and knowledge of products relevant to XTX; Equities, Commodities, FX, Fixed Income and more.
• Proficiency in Python (we use Pandas regularly).
• Excellent quantitative and analytical skills.

Desirable Attributes

• Graduate from a top university in a quantitative discipline such as Mathematics, Statistics, Computer Science.
• Excellent written and verbal communication skills.
• You operate with integrity and to a high ethical standard.
• You are highly motivated; current, and former colleagues consider you exceptionally hard working and conscientious.
• Innovative. You continually think about how improvements in technology and processes can achieve better results. You are conscious of the long-term cost of short-term decisions but demonstrate good judgment on when to be pragmatic.
• Team player. You enjoy working in a dynamic team and are comfortable with being challenged to improve your work.
• Disciplined self-starter with a high degree of motivation and rigour.

Interview Process

• Your resume will be assessed by the hiring manager.
• If successful, you will be required to complete a home assignment related to the role which tests your knowledge of trading and Python.
• Should you be successful you will meet other members of the London and NY trading analyst team, members of our quant research team, as well as senior business leadership in both NY and London. Interviews will be initially via Teams, with the final round onsite in our NY office.
• During the process you should expect to be tested on mathematics, problem solving, statistics, trading knowledge and other skills relevant to the role.

The base salary range for this role is between $140,000 to $180,000 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.