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Wise
Wise

Focused on global money transfers.

Senior Product Analyst - Screening at Wise

RoleData Analytics
LevelSenior
LocationLondon
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

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.

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 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.

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.

What do we offer:

Key benefits:

  • Hybrid working + Mobile Wiser (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

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.

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](https: //wise.jobs/our-mission) and

[what we offer](https: //wise.jobs/what-we-offer).

Required skills

Product analytics

Data analysis

Risk analytics

Stakeholder collaboration

Experimentation

KPI analysis

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About Wise

Wise

Wise

Public

WISE inspires girls and women to study and build careers in science, technology, engineering and manufacturing.

1-50

Employees

Bradford

Headquarters

$8.0B

Valuation

Reviews

10 reviews

3.8

10 reviews

Work-life balance

3.2

Compensation

4.0

Culture

4.1

Career

3.5

Management

3.7

72%

Recommend to a friend

Pros

Flexible work hours and remote options

Supportive and approachable management

Collaborative environment and teamwork

Cons

High workload and unpredictable demands

Communication issues and lack of direction

Stressful and overwhelming work environment

Salary Ranges

117 data points

Mid/L4

Senior/L5

Mid/L4 · Product Application Analyst

1 reports

$87,400

total per year

Base

$76,000

Stock

-

Bonus

-

$87,400

$87,400

Interview experience

4 interviews

Difficulty

2.3

/ 5

Duration

14-28 weeks

Offer rate

50%

Experience

Positive 25%

Neutral 25%

Negative 50%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Interview Round

4

Technical/Role-specific Interview

5

Final Interview

6

Offer Decision

Common questions

Technical Knowledge

Past Experience

Behavioral/STAR

Role-specific Skills

Problem Solving