Lead Data Scientist - Know Your Customer at Wise

Tallinn, Harju, Estonia -

Full Time

Start Date

Immediate

Expiry Date

15 Dec, 25

Salary

0.0

Posted On

16 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Python, Machine Learning, Statistical Analysis, Risk Detection, Model Development, Operational Optimization, Cross-functional Collaboration, Strategic Leadership, Problem Solving, Communication, Customer Due Diligence, Financial Crime Detection, Technical Solutions, KYC Knowledge, Regulated Business Experience

Industry

Financial Services

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 what we offer. Job Description We’re looking for a Lead Data Scientist to join our growing Know Your Customer Team in Tallinn. This role is a unique opportunity to impact the experience of every single one of Wise’s 13 million, and rising, customers. You will be working on enhancing our Know Your Customer procedures to effectively mitigate our risks while delivering a seamless customer experience. What you build will have a direct impact on Wise’s mission About the Role: Our Know Your Customer (KYC) team is responsible for managing the controls and procedures designed to meet regulatory requirements and mitigate risks associated with KYC on a global scale, while delivering a seamless customer experience and applying the correct friction to relevant customers. You will be working closely with the product and engineering teams across multiple Wise domains in driving insight and impact through more precise risk detection and control design. This can go all the way from figuring out how to gather and aggregate information from multiple different sources, to machine learning model design and productionalisation to target specific risk typologies. Here's how you'll be contributing: • Risk Detection: Identify policy violations and analyze customer behavior patterns using ML and traditional controls • Model Development: Design complex models for Customer Due Diligence and financial crime detection, merging multiple risk streams • Operational Optimization: Build predictive models to optimize global backoffice workload and enable efficient case handling • Cross-functional Collaboration: Partner with product and ops teams to implement novel ML techniques for operational efficiency • Strategic Leadership: Design and own the team's ML vision and roadmap Qualifications A bit about you: Experience implementing, testing and evaluating performance of multiple rules across systems; Strong Python knowledge. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services; Experience with statistical analysis and good presentation skills to drive insight into action; A strong product mindset with the ability to work independently in a cross-functional and cross-team environment; Nice to have: Familiarity with automating operational processes through technical solution, for example Large Language Models; Knowledge of the Know Your Customer and risk modelling domains Experience working in a regulated business domain, such as financial crime or within financial institutions. Good communication skills and ability to get the point across to non-technical individuals; Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them. Additional Information Relocation support is available 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.

Responsibilities

The Lead Data Scientist will enhance Know Your Customer procedures to mitigate risks while ensuring a seamless customer experience. This role involves collaborating with product and engineering teams to drive insights and impact through precise risk detection and control design.