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.
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.
- 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:
About you:
- 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.
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 in London employer: 慨正橡扯
Wise is an exceptional employer that prioritises flexibility and inclusivity, making it a fantastic place for professionals seeking meaningful work in the FinCrime sector. With competitive compensation, a commitment to employee growth through a structured Analytics Career Map, and a supportive culture that values diverse perspectives, Wise empowers its team members to thrive while contributing to a mission of building a borderless financial system. The opportunity to work with cutting-edge technology in a collaborative environment further enhances the appeal of this role.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Analyst - FinCrime in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at Wise. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for the interview by understanding Wise’s mission and values. Show us how your skills align with our goals in tackling financial crime. We love candidates who are passionate about making a difference!
✨Tip Number 3
Practice your analytical skills! Be ready to discuss how you would approach the ‘3 body problems’ of risk, friction, and cost. We want to see your thought process and how you tackle complex challenges.
✨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 us you’re genuinely interested in joining the Wise team.
We think you need these skills to ace Lead Analyst - FinCrime in London
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 tackling financial crime and how your background makes you a great fit for our team. Let us know what excites you about Wise!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Share examples of how you've tackled complex problems in the past, especially those involving risk, cost, and user experience. We love seeing real-world applications!
Apply Through Our Website:We encourage you to apply through our website for the best experience. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
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. Being able to discuss these topics confidently will show that you understand the industry and can contribute to Wise's mission of minimising financial crime.
✨Showcase Your Data Skills
Prepare to discuss your experience with SQL, Python, and BI tools. Have specific examples ready that demonstrate how you've designed scalable data models or built decision-ready dashboards. This will highlight your technical expertise and problem-solving abilities.
✨Communicate Clearly
Practice framing trade-offs between risk, conversion, and operational costs. Clear communication is key in this role, so be ready to explain complex ideas simply and effectively. This will help you connect with the interviewers and show your analytical mindset.
✨Understand the Company Culture
Familiarise yourself with Wise's values around diversity, equity, and inclusion. Be prepared to discuss how you can contribute to a positive team environment. Showing that you align with their culture will make you a more attractive candidate.
