Senior Data Scientist

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.
Job Description
More about
our mission
and
what we offer
.

As a
Senior Data Scientist
on our
Risk
team, you will leverage your expertise in data science to innovate and deploy models that enhance our detection capabilities across various risk vectors. Your work will directly influence our ability to safeguard our customers and Wise against malicious actors while maintaining exceptional user experience. You will collaborate closely with cross-functional teams, including engineering, product, and compliance.

Here's How You'll Be Contributing

• Lead the development and deployment of advanced machine learning models to enhance our detection of suspicious and fraudulent behaviors across different Wise markets.
• Analyze large volumes of data to identify trends, patterns, and anomalies associated with potential fraudulent and criminal activity.
• Design and implement experiments to evaluate the effectiveness of risk detection systems and continuously improve their performance.
• Collaborate with analysts, compliance and engineers to translate business and regulatory requirements into actionable data insights and solutions.
• Develop robust data pipelines, algorithms, and tools to support real-time detection and response to suspicious activity.
• Stay informed about the latest advancements in data science, machine learning, and risk prevention techniques to ensure state-of-the-art capabilities in the risk domain.
• Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team.

Qualifications

• Strong proficiency in Python with the ability to make and justify design decisions in your code
• Experience with machine learning frameworks and familiarity with when to use gradient boosting, neural networks, regression, autoencoders, clustering, or hybrid approaches
• Hands-on experience with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL)
• Knowledge of anomaly detection, supervised and unsupervised learning methods, and real-time data analysis
• Proficiency with Git for collaboration (pull requests, code reviews) and ability to read Java code
• Strong statistical analysis skills with excellent presentation abilities to translate insights into action
• Strong product mindset with the ability to work independently across cross-functional and cross-team environments
• Excellent communication skills - you can explain complex technical concepts clearly to non-technical stakeholders
• Proactive problem-solving approach with a passion for protecting users from criminal activities
• Collaborative team player who can help refine problem statements and develop effective solutions
• Proven experience in a data science role, with bonus points for fraud detection, anti-money laundering, or fintech experience
• Experience working with compliance teams to ensure control effectiveness
• Demonstrable experience collaborating with engineering teams on production services

Additional Information

Relocation support 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.