Senior Fraud Data Scientist

January 28

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Mitek Systems

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Mitek Systems is a leading provider of identity verification and biometric authentication solutions, serving a wide array of industries. It specializes in technologies such as mobile capture, biometric authentication, and fraud detection, offering AI-driven solutions to enhance compliance, security, and customer onboarding processes. Mitek Systems is renowned for its pioneering Mobile Deposit technology and its 4-dimensional biometric authentication, which includes face and voice liveness detection. The company focuses on protecting against financial fraud and ensuring compliance with regulatory standards, helping businesses to build customer trust through secure and seamless user experiences.

Document Verification • ID Checking • Image Capture Verification • Passport Verification • Drivers License Pre-fill

201 - 500 employees

Founded 1986

🤖 Artificial Intelligence

📋 Compliance

🔐 Security

📋 Description

• Mitek (NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. • 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. • 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 to tackle complex challenges. • Deliver high-performance solutions that protect people’s money from fraud. • Join us to push the boundaries of data science while making a difference in safeguarding the integrity of financial transactions!

🎯 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 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.

🏖️ Benefits

• 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