Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design scalable data models and improve onboarding processes to combat financial crime.
- Company: Join Wise, a global tech leader in money management.
- Benefits: Competitive salary, stock options, flexible working, and generous leave policies.
- Why this job: Make a real impact on financial security while building innovative systems.
- Qualifications: Strong SQL skills, experience with BI tools, and clear communication abilities.
- Other info: Diverse and inclusive team culture with excellent career growth opportunities.
The predicted salary is between 75000 - 100000 ÂŁ per year.
hackajob is collaborating with Wise to connect them with exceptional tech professionals for this role. Wise is a global technology company, building the best way to move and manage the worldâs money.
About the Role
Youâll help us build the next generation of systems that 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 customers lifecycle. Youâll be embedded in one of our product teams, partner with Product, Engineering, Ops and Compliance to improve control effectiveness, customer experience, and operational efficiency.
What Youâll Do
- Work on the fincrime analytics â3 body problemsâ of risk, friction and cost
- Balance inherent risks of onboarding criminals against user friction and operational costs
- 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
- Help design scalable platforms
- This is a team about building sustainable, long term foundations
- This isnât about short term growth hacking - youâll 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 sourceâofâtruth datasets and dashboards for onboarding funnels, manual reviews, document processing and operational performance.
- Build selfâserve 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, tradeâoffs and recommendations.
- Shape the âwhat nextâ for product outcomes
This is a Lead Analyst role.
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 decisionâready dashboards.
- Clear communicator who can frame tradeâoffs between risk, conversion and operational cost.
- Python for deeper analysis and automation.
Nicer to have
- Familiarity with risk management frameworks
- Exposure to financial crime concepts (fraud, money laundering etc)
- Experience working in a platform orientated team
Additional Information
Our Offer
- Base salary: ÂŁ75-100k gross / year base (based on experience & interview outcomes)
- Restricted Stock Units (RSUs)
- Numerous amount of best in class benefits
- Flexible working - whether itâs working from home, school plays or life admin we get that flexibility is essential and youâre 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. Weâre people building money without borders â without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. Weâre 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 itâs like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Lead Analyst - Onboarding Platform employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Lead Analyst - Onboarding Platform
â¨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
â¨Tip Number 2
Prepare for the interview by understanding Wise's mission and values. Show us how your skills align with building scalable systems and improving customer experience. We love candidates who are genuinely passionate about what we do!
â¨Tip Number 3
Practice your analytical skills! Be ready to discuss how you've tackled complex problems in the past, especially around risk and operational efficiency. We want to see your thought process in action.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows us youâre serious about joining the Wise team.
We think you need these skills to ace Lead Analyst - Onboarding Platform
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Lead Analyst role. Highlight your experience with SQL, data modelling, and any relevant projects that showcase your analytical skills. We want to see how you can contribute to building scalable platforms!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about financial crime analytics and how your background aligns with our mission at Wise. Let us know how you can help improve customer experience and operational efficiency.
Showcase Your Communication Skills: As a Lead Analyst, clear communication is key. In your application, demonstrate how you've effectively translated complex data insights into actionable recommendations for stakeholders. We love seeing candidates who can bridge the gap between data and decision-making!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Itâs super easy, and youâll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at hackajob
â¨Know Your Data Inside Out
As a Lead Analyst, you'll be expected to have a strong grasp of data models and SQL. Brush up on your SQL skills and be ready to discuss how you've designed scalable data models in the past. Prepare examples that showcase your ability to balance risk, conversion, and operational costs.
â¨Communicate Clearly
Effective communication is key in this role. Practice explaining complex analytical concepts in simple terms. Be prepared to discuss how youâve translated stakeholder questions into actionable insights and how youâve communicated trade-offs in previous projects.
â¨Showcase Your Problem-Solving Skills
The role involves tackling the '3 body problems' of risk, friction, and cost. Think of specific examples where you've successfully navigated similar challenges. Be ready to discuss your thought process and the impact of your solutions on operational efficiency.
â¨Familiarise Yourself with Financial Crime Concepts
While not mandatory, having knowledge of financial crime concepts can set you apart. Brush up on topics like fraud and money laundering, and be prepared to discuss how these issues relate to onboarding processes. This will show your understanding of the broader context of the role.
