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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 with cutting-edge AI technologies.
- Qualifications: 5+ years in trading ops or risk management, strong Python and SQL skills.
- Other info: Fast-paced environment with potential for significant career advancement.
The predicted salary is between 36000 - 60000 £ 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) 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)
✨Network Like a Pro
Get out there and connect with folks in the trading and risk management space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Python and AI workflows. Share specific examples of how you've automated processes or improved risk models. We want to see your passion for tech and finance shine through!
✨Prepare for Technical Interviews
Brush up on your technical skills and be ready to tackle some coding challenges. Practice explaining your thought process while solving problems, especially around P&L analysis and risk management. We’re looking for candidates who can think on their feet and demonstrate their analytical prowess.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage with us directly. Let’s make this happen together!
We think you need these skills to ace Trading Ops & Risk Systems Engineer (AI & Automation)
Some tips for your application 🫡
Show Off Your Technical Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, especially in trading operations or risk management.
Demonstrate Your Analytical Mindset: In your written application, share examples of how you've tackled complex problems in the past. We love candidates who can think critically and apply a systems-thinking approach to their work.
Connect Your Experience to Our Needs: Tailor your application to reflect how your background aligns with our key responsibilities. Mention any experience you have with AI workflows or risk monitoring, as this will show us you're a great fit for the role.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at P2P
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your experience with 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 P&L attribution and risk management. Be ready to explain how you’ve decomposed market moves and used data to inform decision-making.
✨Showcase Your Problem-Solving Mindset
Highlight your systems-thinking approach by sharing instances where you’ve identified manual tasks as bugs needing automation. Discuss any successful projects where you’ve implemented AI workflows to streamline operations.
✨Be Ready for High-Pressure Scenarios
Since this role demands agility in a high-intensity environment, prepare for questions about how you handle stress and tight deadlines. Share experiences that demonstrate your ability to thrive under pressure and your willingness to work extended hours.
