Sr. Fraud Data Scientist

Mitek(NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at www.miteksystems.com.

At Mitek, we believe that teams are stronger and more innovative when they have the range of opinions and perspectives that come from diversity. Very simply, we know that diversity is a foundational strength for our organization. A diverse workforce makes for stronger teams as a wider breadth of thinking and experience broadens the power of our collective mind. Building stronger teams is foundational to serving our customers comprehensively, innovating our products and solutions, and enabling more impactful decision-making across our business.

We are Virtual 1st! Whether you choose to work remotely from your home office or in-person from one of Mitek’s offices, our practices, processes and tools are designed to enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working.

We are expanding our Check Fraud Defender Team in Spain and are looking for a skilled and passionate Data Scientist to drive innovation in fraud prevention. In this role, you will develop advanced pattern recognition algorithms to analyze billions of financial transactions, uncovering hidden fraud patterns and enhancing the security of banking operations in the US. By leveraging machine learning, statistical modeling, and graph analytics, you will tackle complex challenges, process large-scale transactional datasets, and deliver high-performance solutions that protect people’s money from fraud. Your work will have a direct societal impact by preventing financial losses, preserving trust in banking systems, and ensuring a safer financial environment for millions of individuals and businesses. Join us to push the boundaries of data science while making a real difference in safeguarding the integrity of financial transactions!

• Data-driven and innovative mindset. You eagerly try new things and learn from your experiences.
• Logical and creative problem-solver, with the ability to think critically and creatively identify solutions to solve issues simply and effectively.
• Clear and concise communication. You effectively set expectations and raise issues as needed.
• Strong team player with a positive attitude, with the ability to adapt to changes.
• Willingness to learn and adapt to new technologies.
• An individual who lives our core values of Delivering, Learning, and Caring.

• Master’s/PhD in Computer Science, Data Science, Statistics, Mathematics (or a Bachelor’s degree with equivalent professional experience).
• 5+ years of hands-on experience in data science roles.
• Proven track record developing, validating, and deploying machine learning models in a production environment (particularly within a financial or fraud detection context).
• Proficiency in Python for data analysis and modeling.
• Solid SQL skills for data extraction and manipulation.
• In-depth knowledge of machine learning libraries and frameworks such as scikit-learn or PyTorch.
• Solid understanding of statistical and machine learning techniques, including anomaly detection, supervised/unsupervised learning, and time-series analysis.
• Strong grasp of statistical methods, with the ability to apply these to large and complex financial datasets.
• Domain Knowledge: Understanding of fraud detection methodologies, statistical analysis, and risk-based modeling.

• Experience working in financial services or digital payments, and familiarity with check deposit and other banking workflows.
• Experience around regulatory compliance (e.g., AML, KYC) and fraud detection in finance or e-commerce.
• Familiarity with big data ecosystems (Spark, Hadoop).
• Experience with cloud computing platforms (AWS, Azure, or GCP).
• Real-time streaming data experience (Kafka, Kinesis) and anomaly detection techniques.
• Proficiency with serverless frameworks or microservices architecture.
• Advanced analytics or data engineering background (e.g., ETL processes, data warehousing).
• Experience with advanced testing methodologies (unit, integration, performance) for ML pipelines.
• Understanding of CI/CD pipelines and containerization (Docker, Kubernetes).
• Hands-on experience with version control tools (Git).

We take pride in enabling career growth in an environment of innovation and teamwork. Our commitment to all Mitekians is to do meaningful work that matters. Our culture is defined by delivering our best to our customers by providing high value solutions and impactful outcomes, by continuously challenging convention, and by caring for each other through collaboration and celebrating our successes. We are committed to creating competitive, equitable compensation & benefits programs and career development opportunities.

Benefit offerings –may vary based on geographic location

Wellness: Universal, supplemental, and private healthcare plan choices based on country specifics.

Financial future: retirement/pension plan contributions, MTK stock plan participation.

Income protection: life event & disability coverage.

Paid time off: generous annual leave, company holidays, volunteer time off.

Learning: e-learning license, tuition reimbursement, hackathons.

Home office setup allowance.

Additional/optional benefits: pet insurance, identity theft protection, legal assistance.

We sincerely appreciate your interest in Mitek. We know your time is valuable and look forward to the potential of speaking with you further!