Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the Risk Platform Operations team and ensure accurate portfolio risk analytics.
- Company: A leading financial services company with a focus on data excellence.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Why this job: Make a significant impact in risk management while mentoring the next generation of data experts.
- Qualifications: 5+ years in data operations, strong analytical skills, and proficiency in SQL and Python.
- Other info: Collaborate with technical and investment teams to enhance decision-making.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services company is seeking a data expert to lead the Risk Platform Operations team. This role focuses on ensuring portfolio risk analytics are delivered accurately and on time, mentoring junior members, and resolving data quality issues.
Successful candidates will have:
- Robust experience with market risk models
- Strong analytical skills
- Proficiency in SQL and Python
- At least 5 years in data operations within finance
The position requires collaboration across technical and investment teams to maintain high-quality data for decision-making.
Head of Risk Data Operations & Analytics in London employer: Fidelity Investments
Contact Detail:
Fidelity Investments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Risk Data Operations & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data analytics space on LinkedIn. Join relevant groups and engage 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 SQL and Python skills. We all know that technical questions can be tricky, so practice coding challenges and be ready to showcase your analytical prowess.
✨Tip Number 3
Don’t underestimate the power of a good follow-up! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest in the role. It keeps you fresh in their minds!
✨Tip Number 4
Check out our website for job openings that match your skills. We’re always looking for talented individuals like you to join our team, so don’t hesitate to apply directly through us!
We think you need these skills to ace Head of Risk Data Operations & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with market risk models and data operations in finance. We want to see how your skills in SQL and Python shine through, so don’t hold back!
Showcase Your Analytical Skills: In your application, give examples of how you've tackled data quality issues in the past. We love seeing candidates who can demonstrate strong analytical skills and a proactive approach to problem-solving.
Mentorship Matters: Since this role involves mentoring junior members, share any relevant experiences where you’ve guided others. We’re keen on candidates who can foster growth and collaboration within a team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Fidelity Investments
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of market risk models and data operations. Be prepared to discuss specific examples from your past experience where you've successfully managed data quality issues or delivered analytics on time.
✨Show Off Your Technical Skills
Since proficiency in SQL and Python is key for this role, be ready to demonstrate your skills. You might be asked to solve a problem or write a query during the interview, so practice beforehand to ensure you're confident.
✨Highlight Your Mentoring Experience
As this role involves mentoring junior members, think of instances where you've guided others. Share how you helped them grow and what strategies you used to foster their development—this will show your leadership potential.
✨Emphasise Collaboration
Collaboration is crucial in this position, so prepare to discuss how you've worked with both technical and investment teams in the past. Highlight any successful projects that required teamwork and how you contributed to maintaining high-quality data for decision-making.
