Senior Product Analyst - Screening

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
The Senior Product Analyst will analyze data to support financial crime products, driving innovative growth decisions while balancing risk prevention and customer experience.
Summary Generated by Built In
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.

More about our mission and what we offer.

Job Description

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 balances 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. For more information on our Analytics Career Map and levelling structure, click here.

Key Responsibilities:

  • Expose the vast amount of data available to the organisation in a meaningful and actionable way in which 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

A BIT ABOUT YOU

  • 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 have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand models

  • Hustler-mentality. You can take work beyond the analysis and 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 3 years of experience analysing data in a professional setting.
     

Additional Information

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.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Top Skills

Dbt
Looker
Power BI
Python
R
SQL
Tableau

What the Team is Saying

Surendra
Smrithi
Pavan
Jennifer
Lindsay
Lauren
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The Company
8,000 Employees
Year Founded: 2011

What We Do

Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Not Specified
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