Staff Product Analyst FinCrime

Wise; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading fintech company in London is seeking a Staff Product Analyst to drive analytical strategy within the Financial Crime team. The ideal candidate will focus on impact analysis, experimentation methodologies, and risk exploration, collaborating with various teams to enhance risk management. Strong quantitative skills and experience with C-level stakeholders are essential for this strategic role.

Qualifications

• Experienced analyst or data scientist able to work independently.
• Strong background in statistics or mathematics.
• Proven ability to influence decisions strategically.
• Experience working with high-level stakeholders.

Responsibilities

• Lead modeling of cost of churn and financial impacts.
• Develop experimentation methodologies for fincrime controls.
• Conduct capacity and demand forecasting.
• Perform in-depth root cause analysis.
• Explore and analyze risk across customer segments.
• Collaborate with various teams to drive data-driven decision-making.

Skills

Autonomy in problem-solving

Strong quantitative skills

Storytelling and strategic guidance

Cross-functional project leadership

Relationship-building with C-level stakeholders

Data model building and reporting

Experience in fintech

Education

Degree in statistics, mathematics, or related field

Job description

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 are seeking an experienced and strategic Staff Product Analyst to join our Financial Crime team. This role is pivotal in driving the analytical strategy across our financial crime domains, including AML, Fraud, Screening, and KYC. As a Staff Product Analyst, you will leverage your expertise to conduct impact analysis, develop experimentation methodologies, and perform root cause analysis to enhance our risk management capabilities.

What You’ll Be Doing:

• Impact Analysis: Lead the modelling of the cost of churn and other financial impacts of fincrime controls, providing insights to optimise our risk management strategies
• Experimentation Methodologies: Develop and implement advanced experimentation methodologies and causal inference techniques to assess the effectiveness of fincrime controls and initiatives
• Capacity and Demand Forecasting: Conduct capacity and demand forecasting to ensure our fincrime teams are equipped to handle current and future challenges effectively
• Root Cause Analysis: Perform in-depth root cause analysis to identify underlying issues and opportunities within our fincrime processes and customer segments
• Risk Exploration: Explore and analyze risk across different customer segments, providing actionable insights to enhance our risk mitigation strategies
• Cross-Functional Collaboration: Work closely with the AML, Fraud, Screening, and KYC teams to align analytical efforts with business objectives and drive data-driven decision-making

Qualifications

What You’ll Bring:

• Experienced analyst or data scientist who likes to operate with a high degree of autonomy in often ambiguous/diverse problem sets
• Strong quantitative skills with a background in statistics, mathematics, or a related field
• Able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights
• Proven ability to lead cross-functional projects and influence decision-making at a strategic level
• Worked with C-level stakeholders and evidence building strong relationships at this level to achieve alignment on complex topics
• Technical breadth as an analyst from insight generation, building data models, building reporting and executing testing (a/b testing, geo testing etc.)
• (Desirable) Worked in fintech or a similar high growth industry

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.

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