Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and execute data-driven reward frameworks for a thriving digital bank.
- Company: Join a leading digital bank with a focus on innovation and growth.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional development.
- Why this job: Make a real impact in a growing fintech environment while shaping employee rewards.
- Qualifications: Strong background in finance analytics and familiarity with UK regulations required.
- Other info: Dynamic role with the chance to influence HR strategy for over 4,000 employees.
The predicted salary is between 48000 - 72000 £ per year.
A leading digital bank is seeking a Senior Reward Analyst to design and execute data-driven reward frameworks that scale with growth. This hybrid role blends finance analytics and HR strategy to manage rewards for 4,000+ employees.
Responsibilities include:
- Market benchmarking
- Regulatory reporting
- Providing insights to HR leadership
Ideal candidates will have a robust background in finance analytics, familiarity with UK regulations, and proficiency in data science tools. Join to make an impact in a growing fintech environment.
Senior Reward Data Scientist employer: Women In Tech
Contact Detail:
Women In Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Reward Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the fintech space, especially those working in reward analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with finance analytics and data science tools. This will help you stand out during interviews and showcase your expertise.
✨Tip Number 3
Stay updated on UK regulations! Brush up on the latest compliance requirements related to rewards and compensation. This knowledge will not only impress interviewers but also demonstrate your commitment to the role.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles like Senior Reward Data Scientist. Plus, it shows you're genuinely interested in joining our team and making an impact.
We think you need these skills to ace Senior Reward Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Reward Data Scientist role. Highlight your background in finance analytics and any relevant data science tools you've used, as this will show us you're a great fit for the position.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your experience can help us design effective reward frameworks. Don't forget to mention your familiarity with UK regulations, as it's key for this position.
Showcase Your Analytical Skills: Since this role blends finance analytics with HR strategy, be sure to include examples of how you've used data to drive decisions in previous roles. We want to see your analytical prowess in action, so don't hold back!
Apply Through Our Website: We encourage you to apply directly through our website. This not only streamlines the process but also ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Women In Tech
✨Know Your Numbers
As a Senior Reward Data Scientist, you'll be expected to handle data like a pro. Brush up on your finance analytics skills and be ready to discuss specific metrics or frameworks you've worked with. Prepare examples that showcase your ability to analyse data and derive actionable insights.
✨Understand the Regulatory Landscape
Familiarity with UK regulations is crucial for this role. Make sure you research the latest compliance requirements related to employee rewards. Being able to discuss how these regulations impact reward strategies will show that you're not just a data whiz but also a strategic thinker.
✨Market Benchmarking Insights
Since market benchmarking is part of the job, come prepared with insights about current trends in employee rewards within the fintech sector. Think about how you can leverage data to create competitive advantage and be ready to share your thoughts on what makes a successful reward framework.
✨Showcase Your Data Science Tools Proficiency
Proficiency in data science tools is key for this position. Be ready to discuss the specific tools you've used, such as Python, R, or SQL, and how you've applied them in previous roles. Highlight any projects where your technical skills led to significant improvements in reward strategies.
