At a Glance
- Tasks: Lead the AI-driven evolution of a post-trade platform and collaborate with banking clients.
- Company: A top FinTech vendor trusted by major banks, shaping the future of finance.
- Benefits: Competitive salary, bonuses, hybrid work, and comprehensive benefits package.
- Other info: Join a dynamic team with opportunities for growth in a rapidly evolving industry.
- Why this job: Be at the forefront of AI in finance and make a real impact on trading workflows.
- Qualifications: Experience in product management within capital markets and a solid understanding of AI applications.
The predicted salary is between 100000 - 130000 £ per year.
AI is reshaping post-trade. Our client is at the centre of it. A well-regarded FinTech vendor trusted by tier one and tier two banks is looking for a Product Manager to own the AI-driven evolution of their post-trade platform — working at the intersection of machine learning, capital markets operations and real client need. This is a role for someone who understands both the technology and the trading floor. Who can sit in a room with a Head of Operations at a global bank, understand what's broken in their post-trade workflow, and come back with a product roadmap that fixes it.
The role
- Own the product vision and roadmap for AI-powered post-trade capabilities — trade matching, settlement optimisation, fails management, reconciliation and exception handling
- Work directly with banking clients to uncover workflow pain points and translate them into clear, deliverable product requirements
- Partner with engineering and data science teams to bring AI and ML features from concept to production
- Define success metrics, run discovery, prioritise ruthlessly and ship
- Stay ahead of market structure developments — T+1, tokenised settlement, CSDR, DORA — and ensure the roadmap stays relevant
What you bring
- Product management experience within post-trade, settlement, clearing, custody or capital markets operations
- Genuine understanding of AI/ML applications in financial services — anomaly detection, predictive analytics, NLP for trade data or similar
- Experience working with or selling to banks — you understand how they buy, how they operate and how long change takes
- The ability to translate complex technical capability into commercial product value — for clients and for internal stakeholders
£100,000–£130,000 base · Bonus · Benefits · London (hybrid)
Product Manager - AI / Post-Trade employer: Iopa Solutions
Our client is a leading FinTech vendor at the forefront of AI innovation in post-trade solutions, offering an exceptional work environment that fosters collaboration and creativity. With a strong focus on employee growth, they provide opportunities to engage directly with top-tier banking clients, ensuring that your contributions have a meaningful impact on the financial services landscape. Located in London, the company promotes a hybrid work culture that balances flexibility with the dynamic energy of the city, making it an attractive place for professionals eager to shape the future of capital markets operations.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - AI / Post-Trade
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. We all know that sometimes it’s not just what you know, but who you know. Attend industry events or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Prepare for those interviews! Research the company and their products thoroughly. We want you to be able to discuss how your experience aligns with their needs, especially in AI and post-trade. Show them you’re not just another candidate, but the perfect fit!
✨Tip Number 3
Practice your pitch! You need to be able to clearly articulate your vision for AI-driven post-trade solutions. We suggest rehearsing how you’d approach a Head of Operations at a bank and how you’d tackle their workflow challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect match for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Product Manager - AI / Post-Trade
Some tips for your application 🫡
Show Your Passion for AI and Finance:When you're writing your application, let your enthusiasm for AI and its impact on post-trade shine through. We want to see how you connect the dots between technology and finance, so share any relevant experiences that highlight your understanding of both worlds.
Tailor Your Application:Make sure to customise your CV and cover letter for this role. We’re looking for someone who can own the product vision, so highlight your product management experience in capital markets or similar areas. Use keywords from the job description to show you’re a perfect fit!
Be Clear and Concise:We appreciate clarity! When detailing your past experiences, be straightforward about your achievements and how they relate to the role. Use bullet points where possible to make it easy for us to see your key contributions and successes.
Apply Through Our Website:Don’t forget 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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Iopa Solutions
✨Know Your AI and Post-Trade Inside Out
Make sure you brush up on your knowledge of AI applications in financial services, especially in post-trade operations. Be ready to discuss specific examples of how AI can solve common pain points in trade matching or settlement optimisation.
✨Understand the Client's Perspective
Get familiar with the challenges that banks face in their post-trade workflows. Think about how you can translate these issues into product requirements. Showing that you can empathise with clients will set you apart.
✨Prepare for Technical Discussions
Since this role involves working closely with engineering and data science teams, be prepared to discuss technical concepts. Brush up on machine learning terminology and be ready to explain how you would bring AI features from concept to production.
✨Stay Current with Market Trends
Research recent developments in market structures like T+1 and tokenised settlements. Being able to discuss these trends and how they impact the roadmap will demonstrate your proactive approach and industry knowledge.
