At a Glance
- 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.
- Other info: Fast-paced environment with opportunities for career advancement and learning.
- Why this job: Make a real impact by transforming trading operations with cutting-edge AI solutions.
- Qualifications: 5+ years in finance, expert in Python and SQL, and strong analytical skills.
The predicted salary is between 70000 - 90000 £ 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 manage daily operational workflows and risk monitoring while leading the digital transformation of these functions. By leveraging Large Language Models (LLMs), machine learning, and advanced scripting, you will 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 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.
- Capacity 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 Pro Network
Blockstream is an exceptional employer for the Director of Business Development role, offering a dynamic work culture that fosters innovation and collaboration within the rapidly evolving digital asset landscape. Employees benefit from extensive professional growth opportunities, including participation in major European industry events, while being part of a forward-thinking team dedicated to shaping the future of Bitcoin technology. With a strong emphasis on leadership development and a commitment to aligning with the long-term vision of the company, Blockstream provides a rewarding environment for those looking to make a significant impact in the financial sector.
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 and risk management space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI workflows. We want to see how you’ve tackled real-world problems, so don’t hold back on the details!
✨Tip Number 3
Prepare for the interview like it’s a big trade! Research the company’s trading strategies and risk management practices. We’re looking for candidates who can engage in meaningful discussions about market volatility and P&L attribution.
✨Tip Number 4
Apply 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 connect directly with us.
We think you need these skills to ace Trading Ops & Risk Systems Engineer (AI & Automation) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Trading Ops & Risk Systems Engineer. Highlight your experience with Python, AI workflows, and any relevant financial operations. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about trading ops and risk systems. Share specific examples of how you've automated processes or improved risk management in the past. Let us know why you’re the perfect fit!
Showcase Your Technical Skills:Since this role is heavily technical, don’t shy away from showcasing your proficiency in Python and SQL. If you've built any AI-driven tools or dashboards, mention them! We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Crypto Pro Network
✨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.
✨Showcase Your Analytical Skills
Prepare to demonstrate your understanding of P&L attribution and market risk indicators. Think of specific examples where you’ve decomposed market moves or improved predictive risk modelling, and be ready to explain your thought process.
✨Emphasise Your Systems-Thinking Approach
This role requires a systems-thinking mindset. Be prepared to discuss how you identify manual tasks that can be automated and share examples of how you’ve successfully implemented such solutions in previous roles.
✨Be Ready for High-Pressure Scenarios
Since this position involves working in a high-intensity environment, think of times when you’ve thrived under pressure. Share how you managed tight deadlines or resolved live production issues, showcasing your ability to stay calm and effective.
