Senior Data Analyst FinCrime Risk

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 Wises efforts to proactively identify measure and mitigate financial crime risks.

As financial crime risks become increasingly complex and data-driven were looking for a quantitative expert who can combine deep technical proficiency with a sharp understanding of risk management. Youll 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 youre passionate about solving complex risk problems and want to make a tangible impact in helping Wise scale their mission of money without borders wed love to hear from you.

Your 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. 

Heres how youll 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. Were 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 teams 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 modeling

Additional Information :

Our Offer

Base salary: 60-75000 gross / year base (based on experience & interview outcomes)

Restricted Stock Units (RSUs)

Numerous best in class benefits

Flexible working - whether its working from home school plays or life admin we get that flexibility is essential and youre 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. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were 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 its like to work at Wise visit .

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

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were 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 its like to work at Wise visit .

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

Remote Work :

No

Employment Type :

Full-time