Senior Product Analyst - FinCrime

Senior Product Analyst - FinCrime

Full-Time 60000 - 85000 £ / year (est.) Home office (partial)
Wise

At a Glance

  • Tasks: Drive data-driven decisions to combat financial crime and enhance customer experience.
  • Company: Join Wise, a mission-driven company focused on Money Without Borders.
  • Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
  • Other info: Collaborate with a team of over 100 analysts and enjoy excellent career growth.
  • Why this job: Make a real impact in fighting financial crime while improving user experience.
  • Qualifications: Strong quantitative skills and experience with SQL, Python/R, and data visualisation tools.

The predicted salary is between 60000 - 85000 £ per year.

We’re looking for a Senior Product Analyst who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data‑driven and innovative growth decisions while helping to combat financial crime. At Wise, we strike a critical balance between user experience and the stringent demands of risk prevention. The Screening team is building a robust control framework that screens customers, counterparties, and transactions across all Wise products. Our systems prevent the onboarding of sanctioned individuals and entities, identify politically exposed persons, and detect adverse media risk – while keeping the customer experience as invisible and frictionless as possible. We ensure that associated risks are thoroughly mitigated and that controls are functioning effectively.

As a Senior Product Analyst, you’ll be driving analytics efforts that balance the work between mitigating risk and enabling a smooth customer experience. You’ll collaborate closely with your product managers, engineers and operational teams to bring your insights into real change for our customers and help drive our mission! You’ll also be a part of a wider team of over 100 Analysts! You’ll get to collaborate on cross‑team projects, develop technical skills and bring ideas about how we can improve analytics across Wise. This is an IC2 role. Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.

Key Responsibilities
  • Expose the vast amount of data available to the organisation in a meaningful and actionable way so people can proactively access the information without friction or need for analyst assistance.
  • Proactively contribute to, own, create, track key metrics and results for the organisation, keeping them accountable throughout the quarter.
  • Support your team by conducting research, building and maintaining data pipelines, preparing reports, and creating visualisations.
  • Drive discovery analyses by scoping new opportunities and suggesting initiatives to improve our existing controls framework and customer experience.
  • Collaborate with various stakeholders in the organisation and effectively communicate your insights into real change for our customers.
Qualifications
  • You have strong quantitative skills. Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas.
  • You have experience with SQL, python/R, dbt (ideally) and building data pipelines.
  • You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple to understand.
  • You can structure business problems with minimal supervision and prioritise them independently, condensing complex systems/ideas into simple-to-understand models.
  • You have a hustler mentality and can take work beyond the analysis to get things done.
  • You have experience with data visualisation tools (Looker, PowerBI, Tableau, etc.) and demonstrate confident storytelling ability with data.
  • You have a minimum of three years of experience analysing data in a professional setting.
What do we offer
  • Salary: £60,000 – £85,000
  • Company Restricted Stock Units
  • Numerous great benefits in our London office
Key benefits
  • Hybrid working + MobileWiser (work from anywhere in the world for 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 Product Analyst - FinCrime employer: Wise

At Wise, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the fight against financial crime. Our London office offers a vibrant work culture with hybrid working options, generous leave policies, and unique benefits like the MobileWiser programme, allowing you to work from anywhere for up to 90 days a year. With a strong focus on employee growth and development, you'll have the opportunity to enhance your skills while making a meaningful impact on our mission of Money Without Borders.

Wise

Contact Details:

Wise Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Product Analyst - FinCrime

Tip Number 1

Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by diving deep into Wise's mission and values. Show us how your passion for combating financial crime aligns with our goals. We love candidates who are genuinely excited about what we do!

Tip Number 3

Practice your storytelling skills with data. Be ready to share examples of how you've turned complex analyses into actionable insights. We want to see how you can make data come alive and drive real change!

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 serious about joining the team!

We think you need these skills to ace Senior Product Analyst - FinCrime

Quantitative Skills
Statistics
Mathematics
SQL
Python
R
Data Pipeline Development

Some tips for your application 🫡

Show Your Passion:When you write your application, let your enthusiasm for combating financial crime shine through. We want to see how your passion aligns with our mission of Money Without Borders!

Be Data-Driven:Since this role is all about analytics, make sure to highlight your quantitative skills and any relevant experience with SQL, Python, or data visualisation tools. We love seeing how you've used data to drive decisions in the past!

Keep It Clear and Concise:We appreciate a well-structured application that gets straight to the point. Use simple language to explain complex ideas, and don’t forget to showcase your storytelling ability with data!

Apply Through Our Website:Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Wise

Know Your Data Inside Out

As a Senior Product Analyst, you'll be expected to have a strong grasp of data analytics. Brush up on your SQL and Python skills, and be ready to discuss how you've used these tools in past roles. Prepare examples of how you've turned complex data into actionable insights that improved user experience or mitigated risks.

Showcase Your Communication Skills

This role requires translating complex analytical findings into simple narratives. Practice explaining your past projects in a way that anyone can understand. Use storytelling techniques to illustrate how your insights led to real changes, and be prepared to discuss how you collaborate with cross-functional teams.

Demonstrate Your Problem-Solving Mindset

The interviewers will want to see your hustler mentality. Think of specific instances where you identified a problem and took the initiative to solve it. Be ready to discuss how you prioritise tasks independently and how you approach structuring business problems with minimal supervision.

Prepare for Technical Questions

Expect technical questions related to data pipelines and visualisation tools. Familiarise yourself with Looker, PowerBI, or Tableau, and be ready to discuss your experience with them. You might even be asked to solve a case study or a practical problem during the interview, so practice your analytical thinking on the spot!