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- 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 for high-quality decision-making data.
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 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
✨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. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with market risk models, SQL queries, and Python scripts. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to risk data operations. Think about how you can demonstrate your analytical skills and experience in resolving data quality issues. Practice makes perfect, so get a friend to do a mock interview with you!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Head of Risk Data Operations & Analytics
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with market risk models and your proficiency in SQL and Python. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to risk analytics and data operations. We love seeing how you connect your background to what we do!
Be a Team Player: Since collaboration is key in this role, share examples of how you've worked with technical and investment teams in the past. We’re looking for candidates who can foster teamwork and maintain high-quality data.
Apply Through Our Website: We encourage you 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’s super easy!
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 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.
✨Mentorship Matters
As this role involves mentoring junior members, think about how you can showcase your leadership style. Prepare examples of how you've guided others in the past and how you approach team collaboration.
✨Collaboration is Key
This position requires working closely with both technical and investment teams. Be ready to discuss how you've successfully collaborated across different departments in previous roles, highlighting your communication skills and ability to maintain high-quality data.
