At a Glance
- Tasks: Lead analytics to combat financial crime and enhance customer experience.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, flexible working, generous leave, and stock options.
- Other info: Diverse and inclusive culture with excellent career progression opportunities.
- Why this job: Join a mission-driven team making a real impact on global finance.
- Qualifications: Strong SQL skills, data modelling experience, and clear communication abilities.
The predicted salary is between 75000 - 100000 € per year.
Company Description
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
You’ll help us build the next generation of systems that help us run multi-region, scalable processes to identify customers who they say they are and ensure any processes minimise the chance of financial crime manifesting throughout a customer's lifecycle. You’ll be embedded in one of our product teams, partnering with Product, Engineering, Ops and Compliance to improve control effectiveness, customer experience, and operational efficiency.
What you’ll do
- Work on the fincrime analytics ‘3 body problems’ of risk, friction and cost.
- Size opportunities, model impact on volume/cost/risk, and evaluate control changes and operational experiments.
- Quantify why documents are rejected and the effectiveness of recovery prompts.
- This is a team about building sustainable, long-term foundations. This isn’t about short-term growth hacking - you’ll help build a long-lasting platform.
- Embody a data-as-a-product mentality.
- Work with engineers to build well-instrumented systems that allow us to understand end-to-end performance.
- Define and maintain source-of-truth datasets and dashboards for onboarding funnels, manual reviews, document processing and operational performance.
- Build self-serve data assets and documentation so stakeholders can answer common questions independently.
- Translate questions from CDD Ops, KYC Controls, Product and Engineering into clear analytical plans; communicate insights, trade-offs and recommendations.
- Shape the ‘what next’ for product outcomes.
Qualifications
- Able to design scalable data models from the backend to our data infrastructure.
- Strong SQL with experience building robust pipelines.
- Proficient with BI tools and designing decision-ready dashboards.
- Clear communicator who can frame trade-offs between risk, conversion and operational cost.
- Python for deeper analysis and automation.
Nice to have
- Familiarity with risk management frameworks.
- Exposure to financial crime concepts (fraud, money laundering etc).
- Experience working in a platform-oriented team.
Additional Information
Our Offer: Base salary: £75-100k gross / year base (based on experience & interview outcomes). Restricted Stock Units (RSUs). Numerous best-in-class benefits. Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible. 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.
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We’re proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Lead Analyst - FinCrime employer: 慨正橡扯
Wise is an exceptional employer that prioritises flexibility and inclusivity, offering a competitive salary and a range of best-in-class benefits. With a strong focus on employee growth, including opportunities for sabbaticals and a commitment to diversity, Wise fosters a collaborative work culture where every team member can thrive and contribute to meaningful projects in the financial technology space.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analyst - FinCrime
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to financial crime analytics. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects or case studies. If you've worked on relevant data models or dashboards, make sure to highlight these in discussions. It’s all about demonstrating your expertise!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our mission at Wise.
We think you need these skills to ace Lead Analyst - FinCrime
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Analyst role. Highlight your experience with SQL, data modelling, and any relevant financial crime concepts. We want to see how your skills align with what we’re looking for!
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 you can contribute to our mission at Wise. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Mention specific projects where you’ve balanced risk, cost, and user experience. We’re keen to see how you approach complex problems!
Apply Through Our Website:We encourage you to apply through our website for the best experience. It’s super easy, and you’ll get all the info you need about the role and our company. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at 慨正橡扯
✨Know Your FinCrime Basics
Before the interview, brush up on financial crime concepts like fraud and money laundering. Understanding these terms will help you speak confidently about the challenges Wise faces and how your role as a Lead Analyst can contribute to tackling them.
✨Showcase Your Data Skills
Be ready to discuss your experience with SQL and BI tools. Prepare examples of how you've designed scalable data models or built decision-ready dashboards in previous roles. This will demonstrate your technical expertise and how it aligns with Wise's mission.
✨Communicate Clearly
Practice framing trade-offs between risk, conversion, and operational costs. Use clear, concise language to explain complex ideas. This is crucial for collaborating with cross-functional teams at Wise, so make sure you can articulate your thoughts effectively.
✨Prepare Questions About the Role
Think of insightful questions to ask during the interview. Inquire about the analytics career map, team dynamics, or how success is measured in the Lead Analyst position. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
