Senior Data Scientist - Fraud - IC2

Company Description

At Wise, we strive to create a world where money moves freely. Our dedicated Trust and Safety team plays a crucial role in protecting our users and maintaining the trust they place in us. We are seeking a talented Senior Data Scientist to lead data-driven initiatives within the ATO domain and develop cutting-edge intelligence solutions.

Job Description

As a Senior Data Scientist on the Account Takeover team, you will leverage your expertise in data science to innovate and deploy models that detect and prevent fraudulent activities. Your work will directly influence our ability to safeguard our platform against unauthorized access and enhance our overall security framework. You will collaborate closely with cross-functional teams, including engineering, product, and security operations.

Key Responsibilities:

• Lead the development and deployment of advanced machine learning models to detect, predict, and mitigate account takeover attempts.
• Analyze large volumes of data to identify trends, patterns, and anomalies associated with potential ATO threats.
• Design and implement experiments to evaluate the effectiveness of fraud detection systems and continuously improve their performance.
• Collaborate with security analysts and engineers to translate business and security requirements into actionable data insights and solutions.
• Develop robust data pipelines, algorithms, and tools to support real-time detection and response to ATO threats.
• Stay informed about the latest advancements in data science, machine learning, and fraud prevention techniques to ensure state-of-the-art capabilities in ATO.
• Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team.

A bit about you: 

• Proven experience in a data science role with a focus on fraud detection, cybersecurity, or fin tech related domains

• Have build machine learning models for account takeover (ATO)

• 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.

• A proactive, problem-solving mindset with a passion for protecting users from fraudulent activities.

• You have a solid knowledge of Python, and are able to make and justify design decisions in your code. You know how to use Git to collaborate with others (e.g. opening Pull Requests on GitHub) and are able to review code. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services;

• You have experience with mining into event logs to identify patterns and associations

• You are familiar with a range of model types, and know when and why to use gradient boosting, neural networks, regression, autoencoders, clustering or a blend of these 

• 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;

• 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

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.

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