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- Tasks: Lead trading operations and enhance risk management using AI technologies.
- Company: A leading cryptocurrency firm at the forefront of innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of trading with cutting-edge AI.
- Qualifications: 5+ years in front-office operations or risk management; proficient in Python and SQL.
- Other info: Ideal for analytical thinkers ready to tackle global trading challenges.
The predicted salary is between 43200 - 72000 £ per year.
A leading cryptocurrency firm is seeking an analytical professional to lead trading operations and enhance risk management through AI technologies. The role involves managing trade lifecycles, performing P&L attribution, and developing advanced risk models.
Candidates should have over 5 years of experience in front-office operations or risk management, and be proficient in Python and SQL. This hybrid position requires a systems-thinking approach and a willingness to meet global trading demands.
Trading Ops & Risk AI Engineer (Hybrid, Automation) in London employer: Crypto.com
Contact Detail:
Crypto.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Ops & Risk AI Engineer (Hybrid, Automation) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the cryptocurrency and trading sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews by brushing up on your Python and SQL skills. We recommend doing some mock interviews with friends or using online platforms to simulate the real deal. The more comfortable you are, the better you'll perform!
✨Tip Number 3
Showcase your analytical skills! Bring examples of how you've used AI technologies to enhance risk management or improve trading operations in your previous roles. Real-life scenarios can really impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Trading Ops & Risk AI Engineer role. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Trading Ops & Risk AI Engineer (Hybrid, Automation) in London
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 in Python and SQL can enhance our team, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in trading and how your analytical mindset aligns with our goals at StudySmarter. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in front-office operations or risk management. We love seeing a systems-thinking approach, so share those experiences that demonstrate your analytical prowess!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Crypto.com
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to trading operations or risk management.
✨Understand the Trading Lifecycle
Familiarise yourself with the entire trade lifecycle, from execution to settlement. Be prepared to explain how you’ve managed these processes in the past and how you can enhance them using AI technologies.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical abilities, particularly in P&L attribution and risk modelling. Use real-world scenarios to demonstrate how your insights have led to improved decision-making in trading operations.
✨Emphasise Systems Thinking
Since this role requires a systems-thinking approach, be ready to discuss how you integrate various components of trading and risk management. Share experiences where you’ve successfully navigated complex systems to meet global trading demands.
