Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform trading operations using AI and machine learning while managing risk.
- Company: Leading financial services firm in Greater London with a dynamic work culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a fast-paced environment and make a real impact in finance with cutting-edge technology.
- Qualifications: Over 5 years of experience in trading ops, risk management, and technical development.
- Other info: Ideal for analytical minds ready to tackle challenges in a rapidly evolving industry.
The predicted salary is between 43200 - 72000 £ per year.
A prominent financial services firm in Greater London is seeking a highly analytical professional for a hybrid role that merges trading operations, risk management, and technical development. The successful candidate will harness AI and machine learning to transform traditional workflows while ensuring data integrity and managing risk. This position demands over 5 years of relevant experience and offers a fast-paced environment with significant demands on time and agility.
AI-Driven Trading Ops & Risk Systems Engineer employer: P2P
Contact Detail:
P2P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Driven Trading Ops & Risk Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector, especially those involved in trading ops and risk management. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Showcase your skills! When you get the chance to chat with potential employers or during interviews, highlight your experience with AI and machine learning. Share specific examples of how you've transformed workflows or managed risk in previous roles to make a lasting impression.
✨Tip Number 3
Prepare for technical interviews! Brush up on your knowledge of trading operations and risk systems. Be ready to discuss how you would apply AI in these areas, as well as any relevant projects you've worked on. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your talents. Plus, applying directly can sometimes give you an edge over other candidates. Don’t miss out on the opportunity to join a dynamic team!
We think you need these skills to ace AI-Driven Trading Ops & Risk Systems Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in trading operations and risk management. We want to see how your skills align with the role, so don’t be shy about showcasing your analytical prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and machine learning in finance. We love seeing candidates who can connect their personal experiences to our mission, so let your personality come through!
Showcase Relevant Experience: When detailing your work history, focus on roles where you’ve used AI or machine learning to improve processes. We’re looking for specific examples that demonstrate your ability to manage risk and ensure data integrity in fast-paced environments.
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 our company culture and values!
How to prepare for a job interview at P2P
✨Know Your AI and Machine Learning
Make sure you brush up on the latest trends in AI and machine learning, especially as they relate to trading operations. Be ready to discuss how you've applied these technologies in your previous roles and how they can enhance risk management.
✨Demonstrate Analytical Skills
Prepare to showcase your analytical prowess. Bring examples of how you've tackled complex problems in trading or risk management. Use data to back up your claims and show how your decisions have positively impacted previous projects.
✨Understand the Financial Landscape
Familiarise yourself with the current financial services landscape, particularly in Greater London. Being able to discuss recent market trends or regulatory changes will demonstrate your commitment and understanding of the industry.
✨Showcase Your Agility
Given the fast-paced nature of the role, be prepared to discuss how you've successfully managed multiple priorities in a high-pressure environment. Share specific examples that highlight your time management skills and adaptability.
