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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 front-office operations or risk management with strong Python skills.
- Other info: Fast-paced environment with potential for significant career advancement.
The predicted salary is between 48000 - 72000 £ 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:
- Trading Operations and P&L Analysis with AI: 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.
- Risk Monitoring & Control: Intelligent Risk Management: 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
- Experience: 5+ years in front-office operations, quant development, or a blend of risk management and systems architecture within a financial institution.
- Technical Stack: Expert proficiency in Python (for AI/ML), and strong SQL skills. Experience building agentic AI workflows is a significant advantage.
- Financial Acumen: Deep understanding of P&L attribution, financial controls, market risk indicators (Greeks, VaR), financial markets and products.
- Problem Solving: A "systems-thinking" approach to operations—treating every manual task as a bug that needs an automated solution.
- Capacity: Ability to thrive in a high-intensity environment requiring extended hours (e.g. 60-70/week) to meet global trading demands.
- Agility: Willingness to participate in a rotational weekend and 24/7 on-call schedule, providing immediate resolution to live production issues.
Trading Ops & Risk Systems Engineer (AI & Automation) in London employer: P2P
Contact Detail:
P2P 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 trading ops and risk management space on LinkedIn. Join relevant groups and participate in discussions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI workflows. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with P&L analysis and risk management. Practise explaining complex concepts in simple terms—this shows you can communicate effectively in a fast-paced environment.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us innovate in trading operations and risk systems. Your next big opportunity could be just a click away!
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 Skills: Make sure to highlight your analytical prowess in your application. We want to see how you can tackle complex problems, especially in trading operations and risk management. Use specific examples from your past experiences to demonstrate your ability to analyse data and make informed decisions.
Demonstrate Technical Expertise: Since this role requires a strong technical background, don’t hold back on showcasing your Python and SQL skills. We’re keen to know about any projects where you’ve built AI workflows or automated processes. The more detail you provide, the better we can understand your capabilities!
Understand Financial Concepts: We’re looking for someone with a solid grasp of financial markets and products. In your application, make sure to mention your experience with P&L attribution and risk indicators. This will show us that you’re not just technically savvy but also financially astute.
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 StudySmarter and what we stand for!
How to prepare for a job interview at P2P
✨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 analytical prowess by discussing specific examples of how you've managed P&L attribution or developed risk models. Use real-world scenarios to illustrate your problem-solving approach and systems-thinking mindset.
✨Understand the Trading Landscape
Familiarise yourself with financial markets, products, and key risk indicators like Greeks and VaR. Being able to speak confidently about market dynamics will show that you have the financial acumen needed for this hybrid role.
✨Show Your Agility and Commitment
Be ready to discuss your experience in high-intensity environments and your willingness to work extended hours or on-call shifts. Highlight any past experiences where you thrived under pressure, as this will resonate well with the demands of the position.