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 potential for career advancement and skill development.
- 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 63000 - 77000 £ per year.
Trading Ops & Risk Systems Engineer (AI & Automation)
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., Open AI API, Lang Chain, 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, Va R), 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.
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Trading Ops & Risk Systems Engineer (AI & Automation) employer: Crypto Pro Network
As a leading crypto trading firm located in the vibrant Greater London area, we pride ourselves on fostering a dynamic and innovative work culture that encourages independent thinking and collaboration. Our employees benefit from competitive compensation packages, ongoing professional development opportunities, and the chance to work with cutting-edge technology in a rapidly evolving market. Join us to be part of a forward-thinking team where your expertise in crypto trading can truly make an impact.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Ops & Risk Systems Engineer (AI & Automation)
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Crypto Pro Network. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Trading Ops & Risk Systems Engineer (AI & Automation)
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Crypto Pro Network.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Crypto Pro Network's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Crypto Pro Network
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Crypto Pro Network.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Crypto Pro Network will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Crypto Pro Network employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
