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- Tasks: Support data-driven decisions on risk controls and scale risk data infrastructure.
- Company: Leading fintech company in Greater London with a focus on innovation.
- Benefits: Salary between £75,000 - £100,000 plus Restricted Stock Units (RSUs).
- Why this job: Join a dynamic team and influence key decisions in a fast-paced environment.
- Qualifications: 5+ years of experience with strong analytical skills and expertise in Python and SQL.
- Other info: Great opportunity for career growth in a thriving fintech sector.
The predicted salary is between 75000 - 100000 £ per year.
A leading fintech company in Greater London is seeking a Lead Analyst to support data-driven decisions related to risk controls. The ideal candidate should have 5+ years of experience, strong analytical skills, and technical expertise in Python and SQL.
Responsibilities include:
- Scaling risk data infrastructure
- Partnering with various teams to influence key decisions
The position offers a salary range of £75,000 - £100,000, along with additional benefits such as Restricted Stock Units (RSUs).
Strategic Data Analyst — Risk & Controls employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Strategic Data Analyst — Risk & Controls
✨Tip Number 1
Network like a pro! Reach out to professionals in the fintech space, especially those working in risk and controls. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your analytical prowess with Python and SQL. When you get the chance to chat with potential employers, let your work speak for itself.
✨Tip Number 3
Tailor your approach! Research the company’s values and recent projects. When you connect with them, mention how your experience aligns with their goals, especially in scaling risk data infrastructure.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Strategic Data Analyst — Risk & Controls
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in risk controls and data analysis. We want to see how your skills in Python and SQL can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Strategic Data Analyst role. Share specific examples of how you've influenced key decisions in previous roles and how you can bring that expertise to our team.
Showcase Your Analytical Skills: In your application, be sure to demonstrate your strong analytical skills. We love seeing how you approach problem-solving, so include any relevant metrics or outcomes from your past work that highlight your impact.
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 fintech family!
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
Make sure you’re well-versed in the data landscape relevant to risk and controls. Brush up on your analytical skills, especially in Python and SQL, as you’ll likely be asked to demonstrate your technical expertise during the interview.
✨Showcase Your Experience
With 5+ years of experience required, prepare to discuss specific projects where you’ve successfully influenced decisions through data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
✨Understand the Company’s Risk Framework
Research the fintech company’s approach to risk management and controls. Being able to discuss their current strategies and how you can contribute will show that you’re genuinely interested and ready to add value from day one.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data infrastructure and team dynamics. This not only shows your interest but also helps you gauge if the company is the right fit for you.
