At a Glance
- Tasks: Lead analytics strategy for KYC onboarding, ensuring a smooth customer experience.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Other info: Enjoy a dynamic work environment with opportunities for growth and a 6-week sabbatical.
- Why this job: Make a real impact in fraud prevention and customer onboarding.
- Qualifications: Experienced analytics leader with strong SQL skills and team management experience.
The predicted salary is between 105000 - 150000 £ per year.
Wise is a global technology company building the best way to move and manage the world’s money.
We are looking for a leader to help build systems that detect fake identities, validate that consumers and businesses are who they say they are, and deliver a low‑friction, risk‑smart onboarding journey.
KYC onboarding sits at the heart of growth and compliance. You’ll lead the analytics strategy to deliver a low‑friction, risk‑smart onboarding journey for consumer and business customers.
What You’ll Do
- Own the KYC onboarding measurement framework: define and iterate funnel and operational KPIs (conversion, verification SLAs, manual review demand, risk mix, returns/deactivations) and ensure a single source of truth for Product, Ops, and Compliance.
- Act as a leader across the domain.
- Lead and develop a team of analysts: help them set priorities, coach for impact, and uplevel stakeholder influence and analytical rigor.
- Generate insights to reduce friction and cost: identify drop‑offs, false positives/returns, process bottlenecks, and opportunities to shift manual demand to automation.
- Build and maintain reliable, self‑serve BI views; standardise definitions and documentation so stakeholders make consistent decisions.
- Partner with KYC Continuous Improvement (CI), QA, Training, and Vendor Ops to align on process changes, quality signals, and learning loops.
- Drive analysis quality, documentation standards, and reproducibility across onboarding analytics.
Qualifications
A bit about you:
- Experienced analytics leader in high‑stakes domains balancing customer experience, operations, and compliance.
- Proven at turning ambiguous problems into crisp measurement plans and shipped insights; strong SQL/BI skills and comfort with complex datasets.
- Skilled at building shared definitions and a single source of truth across Product, Ops, and Compliance.
- People leader who coaches analysts in problem framing, methodology, stakeholder management, and documentation standards.
Nice to have
- Familiarity with risk management frameworks.
- Exposure to financial crime concepts (fraud, money laundering, etc.).
- Experience working in a platform‑oriented team.
What We Offer
- Salary: £105,000 – £150,000
- Company Restricted Stock Units
- Numerous great benefits in our London office.
Key Benefits
- Hybrid working + MobileWiser (work from anywhere in the world up to 90 days a year)
- Paid annual holiday, sick days, parental leave and other leave opportunities
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave.
Senior Analytics Manager - FinCrime in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Manager - FinCrime in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Wise or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s values and recent projects. Show us you’re not just another candidate; demonstrate how your experience aligns with Wise's mission to create a low-friction onboarding journey.
✨Tip Number 3
Practice your storytelling skills! When discussing your past experiences, frame them in a way that highlights your leadership and analytical prowess. We want to hear about how you tackled challenges and drove results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Analytics Manager - FinCrime in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Analytics Manager - FinCrime. Highlight your experience in analytics leadership, especially in high-stakes domains, and showcase your SQL/BI skills. We want to see how you’ve turned complex problems into actionable insights!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about KYC onboarding and how your background aligns with our mission at Wise. Don’t forget to mention your experience in building measurement frameworks and leading teams.
Showcase Your Leadership Skills: As a people leader, it’s crucial to demonstrate how you've coached analysts and influenced stakeholders. Share specific examples of how you’ve helped your team set priorities and improve their analytical rigor. We love seeing how you can uplift others!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at hackajob
✨Know Your Numbers
As a Senior Analytics Manager, you'll need to demonstrate your expertise in KPIs and metrics. Brush up on the key performance indicators relevant to KYC onboarding, such as conversion rates and verification SLAs. Be ready to discuss how you've used data to drive decisions in previous roles.
✨Showcase Your Leadership Skills
This role requires you to lead a team of analysts, so be prepared to share examples of how you've coached and developed others. Highlight specific instances where your leadership made a tangible impact on team performance or project outcomes.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to turn ambiguous problems into actionable insights. Think of past challenges you've faced in analytics, particularly in high-stakes environments, and articulate your thought process in tackling those issues.
✨Familiarise Yourself with Financial Crime Concepts
While not mandatory, having a grasp of financial crime concepts can set you apart. Research common fraud patterns and risk management frameworks. Being able to discuss these topics will show your commitment to understanding the domain and its challenges.