Senior Fraud Data Scientist

Summary

Join Mitek's Check Fraud Defender Team in Spain as a Data Scientist! You will develop advanced algorithms to analyze financial transactions, identify fraud patterns, and enhance banking security. Leveraging machine learning and statistical modeling, you'll process large datasets and create high-performance solutions. This role offers a significant societal impact by preventing financial losses and ensuring a safer financial environment. Mitek is a virtual-first company, offering flexibility in work location. The position offers competitive compensation and benefits.

Requirements

• 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 an 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

Responsibilities

• Develop advanced pattern recognition algorithms to analyze billions of financial transactions
• Uncover hidden fraud patterns and enhance the security of banking operations in the US
• Leverage machine learning, statistical modeling, and graph analytics
• Tackle complex challenges, process large-scale transactional datasets, and deliver high-performance solutions that protect people’s money from fraud

Preferred Qualifications

• 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)

Benefits

• ���60,000 - €68,000 a year
• 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