Senior Data Analyst - FinCrime Risk

Wise; City Of London; On-site; GBP 60,000 - 75,000; Full time

Job summary

A leading financial technology company in London is looking for a Senior Data Analyst to lead risk analytics for financial crime risk management. The ideal candidate will have strong quantitative skills, experience with SQL and Python/R, and the ability to communicate complex business problems. This role offers a competitive salary, flexible working arrangements, and a chance to make a tangible impact in financial crime risk management.

Benefits

Base salary of £60-£75,000 gross

Restricted Stock Units (RSUs)

Flexible working arrangements

Paid sabbatical after 4 years

Qualifications

• 3+ years of experience analyzing data in a professional setting.
• Ability to condense complex systems/ideas into simple-to-understand models.
• Hustler mentality, able to take work beyond the analysis.

Responsibilities

• Design, develop and maintain a dashboard of KRIs for risk management.
• Lead risk initiatives in AML/Fraud.
• Provide quantitative risk analysis for governance committees.

Skills

Strong quantitative skills

Experience with SQL

Experience with Python/R

Strong communication skills

Experience with data visualization tools

Ability to structure business problems independently

Education

Background in statistics, maths, physics, engineering or other scientific area

Tools

SQL

Python

R

Looker

PowerBI

Tableau

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

About this role:

We are looking for a Senior Data Analyst to lead risk analytics for financial crime risk management at Wise.

This is a dedicated risk function embedded in the analytics teams to support the development and evolution of quantitative risk management strategy for Wise. Financial Crime is one the the most critical risk domains for Wise and therefore this role requires a very hands on approach to building solutions that are scalable and actionable.

We are seeking a highly skilled and inquisitive Senior Risk Analyst to join our Financial Crime Analyst team. This role sits at the intersection of analytics and mission‑critical risk management, supporting Wise’s efforts to proactively identify, measure, and mitigate financial crime risks.

As financial crime risks become increasingly complex and data‑driven, we’re looking for a quantitative expert who can combine deep technical proficiency with a sharp understanding of risk management. You’ll play a pivotal role in shaping how we proactively identify, monitor, and respond to risks. You will drive meaningful impact by embedding a robust risk quantification program across your domain.

If you’re passionate about solving complex risk problems and want to make a tangible impact in helping Wise scale their mission of money without borders, we’d love to hear from you.

Our mission

At Wise our mission is Money Without Borders - instant, convenient, transparent and eventually free. Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money.

Here’s how you’ll be contributing to the Financial Crime team:

• Design, develop and maintain a dashboard of KRIs and relevant Risk appetites for AML/Fraud risk management. This includes defining relevant tolerance and granularity of KRIs and drill downs necessary to swift identify and action risk deterioration.
• Proactive identify and lead risk initiatives in AML/Fraud including development of metrics, running deep dives, trend analysis, incident thematics or risk concentrations - your inputs will be a critical driver to build a more proactive risk management program.
• Provide analytical inputs requiring quantitative assessments such as but not limited to product changes, inherent risk assessment frameworks, issues rating analysis, scenarios testing, incident reviews, risk and KRIs appetites setting, regional impact assessments
• Responsible for working with financial crime risk managers in ensuring control assurance testing adequately covers relevant scenarios for DE and OE testing in the first line.
• Provide quantitative risk analysis to support quarterly risk assessments for risk governance committees. This would also include from time to time also present on relevant risk topics and deep dives as necessary in the risk committees and product planning forums.
• Collaborate with second line model risk management function and participate in relevant associated forums.
• Working with Compliance Managers, CRO and other key risk stakeholders in defining and implementing risk strategy for financial crime risk analytics.

This role will give you the opportunity to:

• Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money
• Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!
• Influence the team’s direction. Analysts at Wise enable data‑driven decision making and have a large impact by helping their teams to decide what to work on.
• Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.

Qualifications

A bit about you:

• You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area
• You have experience with SQL and Python/R
• You have strong communication skills and an ability to translate business problems into analytical solutions
• 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 storytelling ability with data
• You have 3+ YOE analysing data in a professional setting

Some extra skills that are great (but not essential):

• Experience with user‑facing products and data
• Experience in fincrime domain and/or risk modeling
• Knowledge of trend analysis and forecasting methods
• Knowledge of data modelling

Additional Information

Our Offer Base salary: £60-£75,000 gross / year base (based on experience & interview outcomes) Restricted Stock Units (RSUs) Numerous best in class benefits Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re 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. 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.