At a Glance
- Tasks: Lead strategic projects to optimise customer tech approvals and drive innovation using AI.
- Company: Raylo, a leader in subscription infrastructure for electronics brands.
- Benefits: Fast-track your career with promotions, stock options, and a flexible hybrid working model.
- Other info: Inclusive workplace celebrating diversity, with excellent career growth opportunities.
- Why this job: Make a real impact on customer experiences while working with cutting-edge analytics.
- Qualifications: 3-5 years in strategy or analytics, strong SQL skills, and experience with AI tools.
The predicted salary is between 60000 - 75000 ÂŁ per year.
About Raylo
Raylo is the subscription infrastructure for the world's leading electronics brands, powering the circular economy by making devices more accessible, affordable, and flexible for consumers and businesses.
What to Expect
The Credit and Fraud Strategy team sits at the heart of how Raylo grows. The newly created role focuses on one of our most important customer segments: people who are already customers of Raylo and want more. You’ll be responsible for our decisioning logic for these customers, using traditional and AI‑enhanced analytics to identify and go after growth opportunities, and identifying when new data sources are needed for better decisions.
What You’ll Do
- Lead strategic projects to optimise approval rates for existing customers who want to take out more tech.
- Investigate key drivers of performance and identify opportunities for improvement.
- Use AI to boost your analytical capabilities and drive innovation in monitoring, automation, and internal decision making.
- Collaborate with Product and Engineering on technical design of rule changes and implementation of new data sources.
- Partner with Growth and Marketing teams to develop seamless positive experiences and reduce friction where a decline decision is the best outcome for us and the customer.
- Design scalable data frameworks and tracking systems to support smarter decisions, ensuring strong controls and sound, explainable decisions.
- Balance flexibility and scalability while maintaining high data quality across multiple sources.
You’ll Succeed with
- 3-5 years of experience in strategy, analytics, or product/data roles in fast‑paced, high‑performance, data‑driven environments.
- A 2:1 or above from a top university, ideally in a STEM or other highly analytical discipline.
- Hands‑on daily use of AI tools (e.g., Claude, Copilot) to accelerate the insight → decision → implementation cycle.
- Strong working knowledge of SQL; Python experience is a strong plus.
- A track record of going from ambiguous problems to in‑market impact using data.
- Experience with modern analytics stacks (data warehouses, dashboards, monitoring systems).
- A direct communication style that adapts appropriately to audiences with different technical expertise.
- Takes feedback well and moves quickly on it.
- Comfort working in a fast‑moving, high‑ownership environment where the answer is not always obvious.
Opportunities & Benefits
- Fast‑track your career – 40% of our employees are promoted every review cycle (bi‑annually).
- Exclusive Raylo device lease for employees.
- Stock options for all employees.
- L&D budget to support the skills you value.
- Hybrid working model – 3 set days in the London Bridge Office (Monday, Wednesday & Thursday).
- 33 days off, your way – 25 days + 8 bank holidays with full flexibility to use on the days that mean the most to you.
- Enhanced maternity, paternity, adoption or shared parental leave, if you've been with us for 12 months.
- Workplace nursery scheme for major cost savings.
Hiring Process
We move quickly and will aim to give you the best candidate experience possible. It starts with a 15‑minute call – no prep needed. If there's a fit, we move fast; every stage has a purpose, and we'll tell you what we're looking for at each one. If there's anything we can do to support you through the process, whether that's adjustments or anything else, please let us know. As an FCA‑regulated business, we conduct background checks (DBS and AML) on all successful candidates who are offered a position at Raylo during the onboarding process.
Diversity & Inclusion at Raylo
At Raylo, we celebrate diversity and are committed to creating an inclusive workplace where everyone can thrive. We welcome people of all backgrounds, experiences, and perspectives, believing they make us stronger.
Credit Strategy & Analytics Manager employer: Raylo
Contact Detail:
Raylo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Strategy & Analytics Manager
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Raylo on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Raylo's mission and values. Show us how your experience aligns with their goals, especially in optimising customer experiences and using AI in analytics.
✨Tip Number 3
Practice your problem-solving skills! Be ready to tackle some real-world scenarios during interviews. We love candidates who can think on their feet and demonstrate their analytical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Raylo team.
We think you need these skills to ace Credit Strategy & Analytics Manager
Some tips for your application 🫡
Show Your Analytical Skills: Make sure to highlight your experience with data analysis and AI tools in your application. We want to see how you've used these skills to drive decisions and impact in previous roles.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to reflect the specific requirements of the Credit Strategy & Analytics Manager role. Show us how your background aligns with what we're looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate direct communication, so make sure your key achievements and experiences stand out without unnecessary fluff.
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 the role as quickly as possible!
How to prepare for a job interview at Raylo
✨Know Your Numbers
Brush up on your analytics skills, especially SQL and Python. Be ready to discuss how you've used data to drive decisions in past roles. Prepare specific examples where your analytical insights led to tangible results.
✨AI is Your Friend
Familiarise yourself with AI tools like Claude or Copilot. Think of ways you’ve integrated these technologies into your work to enhance decision-making processes. Be prepared to share how you can leverage AI to optimise approval rates for existing customers.
✨Collaboration is Key
Raylo values teamwork, so think about how you've worked with cross-functional teams in the past. Prepare to discuss your experience collaborating with product and engineering teams, and how you’ve contributed to seamless customer experiences.
✨Be Ready for Fast-Paced Questions
Expect a dynamic interview environment. Practice articulating your thoughts clearly and concisely, especially when discussing ambiguous problems. Show that you can adapt your communication style to different audiences, whether they’re technical or not.