Full-Time

Operations Analyst

Confirmed live in the last 24 hours

XTX Markets

XTX Markets

201-500 employees

Electronic trading and market-making services

Data & Analytics
Fintech
Financial Services

Mid

London, UK

Requires onsite presence in London for at least 4 days a week.

Category
Quality Control & Compliance
Supply Chain Management
Operations & Logistics
Required Skills
Python
SQL
Go
Data Analysis
Requirements
  • Bachelor’s or master’s degree (minimum 2:1) in Mathematics, Engineering or Computer Science.
  • Between 2-5 years relevant industry experience, with demonstrable knowledge of at least one relevant asset class from a trading operations perspective.
  • Programming experience (Python, Go) related to automation and data manipulation (SQL) is strongly preferred.
  • Excellent communication and cross-team collaboration skills.
  • Strong analytical and problem-solving skills.
  • Ability to analyse and debug problems in a fast-paced environment.
  • 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.
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.

XTX Markets specializes in electronic trading and market-making, providing liquidity across various financial instruments using a sophisticated trading platform. The company employs advanced algorithms and high-frequency trading strategies to maintain competitive pricing and deep liquidity for institutional clients. XTX Markets distinguishes itself through its commitment to transparency, ethical trading practices, and a strong focus on innovation and data science, which informs its trading strategies. The goal of XTX Markets is to enhance market efficiency and integrity while delivering tailored trading solutions and valuable market insights to its clients.

Company Stage

N/A

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

2015

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

10%
Simplify Jobs

Simplify's Take

What believers are saying

  • The establishment of XTY Labs under the leadership of Dr. Atlas Wang offers employees the opportunity to work on cutting-edge machine learning projects.
  • XTX Markets' strong stance against fraudulent activities ensures a secure and trustworthy working environment.
  • The company's involvement in educational initiatives like the Maths Excellence Fund provides employees with a sense of contributing to societal good.

What critics are saying

  • The presence of fraudulent entities claiming affiliation with XTX Markets could potentially damage the company's reputation.
  • The rapid expansion into new areas like machine learning with XTY Labs may pose integration and focus challenges.

What makes XTX Markets unique

  • XTX Markets is a leading algorithmic trading company, distinguishing itself from competitors by not engaging in retail FX or cryptocurrency services.
  • The launch of XTY Labs, a dedicated machine learning division, positions XTX Markets at the forefront of integrating AI into financial trading.
  • Their commitment to educational initiatives, such as the Maths Excellence Fund, highlights a unique focus on social impact and long-term talent development.

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