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- 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 flexible work culture and opportunities for professional growth.
- Why this job: Make a real impact in fraud prevention while leading a dynamic analytics team.
- Qualifications: Proven analytics leader with strong SQL skills and experience in high-stakes environments.
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 employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Manager - FinCrime
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Wise. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by diving deep into KYC and analytics. Show us you know your stuff and can tackle real-world problems with confidence.
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! Bring examples of how you've tackled complex datasets or improved processes in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Analytics Manager - FinCrime
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Analytics Manager role. Highlight your experience in analytics, especially in high-stakes domains like compliance and customer experience. We want to see how your skills align with our mission at Wise!
Showcase Your Leadership Skills: As a people leader, it’s crucial to demonstrate how you've coached and developed teams in the past. Share specific examples of how you’ve helped analysts improve their skills and influence stakeholders. We love seeing candidates who can inspire others!
Quantify Your Achievements: When detailing your past experiences, use numbers to back up your claims. Whether it's improving conversion rates or reducing manual review demand, we want to see the impact you've made. This helps us understand the value you can bring to our team.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Wise!
How to prepare for a job interview at hackajob
✨Know Your Numbers
Make sure you’re familiar with key metrics related to KYC onboarding, such as conversion rates and verification SLAs. Being able to discuss these numbers confidently will show that you understand the analytics landscape and can contribute to Wise's goals.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams in the past, especially in high-stakes environments. Discuss your coaching methods and how you’ve helped analysts improve their skills. This will demonstrate your capability to lead and develop a team effectively.
✨Be Ready to Tackle Ambiguity
Expect questions about how you approach ambiguous problems. Have a few examples ready where you turned unclear situations into actionable insights. This will highlight your analytical thinking and problem-solving abilities, which are crucial for this role.
✨Understand the Bigger Picture
Familiarise yourself with financial crime concepts and risk management frameworks. Being able to connect your analytics work to broader compliance and operational goals will impress the interviewers and show that you’re aligned with Wise’s mission.