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- Tasks: Lead the evolution of trading infrastructure using AI and automation.
- Company: Dynamic financial institution focused on innovation and technology.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact in trading operations while leveraging cutting-edge AI technologies.
- Qualifications: 5+ years in finance, expert Python skills, and a systems-thinking mindset.
- Other info: Fast-paced environment with opportunities for career advancement.
The predicted salary is between 48000 - 72000 ÂŁ per year.
We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer. The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time P&L visualization tools.
Key Responsibilities
- Manage the end-to-end lifecycle of trades across multi-asset classes.
- Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations.
- Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity.
- Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports.
- Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers.
- Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks.
- Develop and maintain sophisticated risk reporting dashboards for the desk.
Requirements & Qualifications
- 5+ years in front-office operations, quant development, or a blend of risk management and systems architecture within a financial institution.
- Expert proficiency in Python for AI/ML and strong SQL skills. Experience building agentic AI workflows is a significant advantage.
- Deep understanding of P&L attribution, financial controls, market risk indicators (Greeks, VaR), financial markets and products.
- A “systems-thinking” approach to operations—treating every manual task as a bug that needs an automated solution.
- Ability to thrive in a high-intensity environment requiring extended hours when necessary to meet global trading demands.
- Willingness to participate in a rotational weekend and on-call schedule, providing immediate resolution to live production issues.
Trading Ops & Risk Systems Engineer (AI & Automation) in London employer: Crypto.com
Contact Detail:
Crypto.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Ops & Risk Systems Engineer (AI & Automation) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your Python projects, especially those related to AI and automation. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common questions related to trading ops and risk management to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us and making an impact in trading infrastructure.
We think you need these skills to ace Trading Ops & Risk Systems Engineer (AI & Automation) in London
Some tips for your application 🫡
Show Your Analytical Side: Make sure to highlight your analytical skills in your application. We want to see how you approach problem-solving, especially when it comes to trading operations and risk management. Use specific examples from your past experiences to demonstrate your thought process.
Get Technical: Since this role is all about AI and automation, don’t shy away from showcasing your technical expertise. We’re looking for proficiency in Python and SQL, so mention any relevant projects or tools you've used that align with our needs. The more detail, the better!
Emphasise Your Systems-Thinking Approach: We love a systems-thinker! In your application, explain how you view manual tasks as opportunities for automation. Share instances where you’ve successfully implemented solutions that improved efficiency or reduced errors in trading operations.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Crypto.com
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your knowledge of AI/ML frameworks like OpenAI API and LangChain, and be ready to discuss how you've used them in past projects.
✨Demonstrate Your Analytical Skills
Prepare to showcase your understanding of P&L attribution and market risk indicators. Think of specific examples where you’ve decomposed market moves or explained variances, as this will highlight your analytical prowess.
✨Showcase Your Systems-Thinking Approach
Be ready to discuss how you approach operational challenges with a systems-thinking mindset. Share instances where you identified manual tasks as bugs and successfully automated them, demonstrating your problem-solving skills.
✨Prepare for High-Intensity Scenarios
Since the role requires thriving in a fast-paced environment, think of examples from your experience where you managed high-pressure situations. Be honest about your willingness to work extended hours and participate in on-call schedules, as this shows your commitment.
