Senior Data Scientist- Risk

Location: Global

Team: General

About the Role

At Wise, we're building a world where money moves freely, and our Risk team plays a vital role in protecting customers from fraud and criminal activity. As a Senior Data Scientist in Risk, you'll lead data-driven initiatives to develop cutting-edge detection and prevention solutions. Leveraging advanced machine learning, you'll innovate models that detect suspicious behaviors across global markets while preserving exceptional user experiences. Collaborating with engineering, product, and compliance teams, your work will directly safeguard Wise and our customers from malicious actors. Key to success will be analyzing vast datasets for patterns and anomalies, building real-time data pipelines, and running experiments to optimize detection systems. You'll mentor juniors, stay ahead of industry advancements, and translate complex insights into actionable strategies. With a proactive mindset and strong technical skills, you'll thrive in our cross-functional, inclusive environment. Join our global team in Tallinn (with relocation support) and contribute to a mission-driven company that values diversity, flexible working, and continuous learning. Competitive salary of 50,000-65,000 EUR annually, plus RSUs, health benefits, and more.

Key Responsibilities

• Lead the development and deployment of advanced machine learning models to enhance 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
• Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team

Required Qualifications

• Proven experience in a data science role
• Strong proficiency in machine learning frameworks and programming languages such as Python, R, or similar
• Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL)
• Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis
• Demonstrated ability to work collaboratively in cross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders

Preferred Qualifications

• Experience related to fraud detection, anti-money laundering, or fintech related domains
• Experience collaborating with engineering on services
• Experience working with compliance in assuring effectiveness of controls

Required Skills

• Python (solid knowledge, design decisions, code review)
• Git (Pull Requests on GitHub)
• Java (ability to read code)
• Machine learning models (gradient boosting, neural networks, regression, autoencoders, clustering)
• Statistical analysis
• Data processing (SQL, Spark, Hadoop)
• Anomaly detection and real-time analysis
• Cross-functional collaboration
• Problem-solving and product mindset
• Presentation and communication skills

Benefits

• RSUs (stock options)
• Flexible working
• Parental leave
• Learning budget
• Paid sabbatical after 4 years
• Health insurance
• Company retreat
• Wise card
• Relocation support

Wise is an equal opportunity employer committed to building a diverse workforce.