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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: Fast-paced environment with global trading exposure and career advancement potential.
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) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the cryptocurrency and trading sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your Python and SQL expertise. It’s a great way to demonstrate your capabilities beyond the usual interview questions.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to trading operations and risk management. Mock interviews with friends can help you nail your responses.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can give you an edge. Plus, it shows you’re genuinely interested in joining us!
We think you need these skills to ace Trading Ops & Risk AI Engineer (Hybrid, Automation)
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 the perfect fit for the Trading Ops & Risk AI Engineer role. Share specific examples of how you've tackled challenges in front-office operations or risk management.
Showcase Your Analytical Skills: Since we’re looking for someone analytical, make sure to include any relevant experience with P&L attribution and risk models. We love numbers, so if you’ve got metrics to back up your achievements, include them!
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 this exciting opportunity in our hybrid work environment!
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 or improved processes in previous roles, as this will show your analytical capabilities and systems-thinking approach.
✨Showcase Your Risk Management Experience
Highlight your experience in developing risk models and performing P&L attribution. Bring examples of how your analytical skills have led to better risk management outcomes in your past roles.
✨Be Ready for Scenario Questions
Expect scenario-based questions that test your problem-solving skills in real-time trading situations. Think about how you would handle unexpected market changes or operational challenges, and be ready to articulate your thought process clearly.
