What You Will Do
- Design, develop, and evaluate machine learning models for fraud detection, including fraud scoring and ensemble models that combine multiple sources of evidence.
- Analyze large-scale datasets to identify complex patterns, relationships, behaviors, and anomalies, developing new signals to improve fraud detection.
- Define robust experimentation and evaluation methodologies, including model calibration, operating thresholds, and performance metrics under realistic production conditions.
- Develop interpretable and explainable ML approaches that help internal stakeholders and customers understand fraud scores and decisions.
- Explore innovative approaches to fraud decisioning, including human-in-the-loop techniques and causal methods.
- Collaborate with Product and Fraud Domain Experts to translate real-world fraud challenges and production feedback into effective machine learning capabilities.
- Partner with Data Engineering to transform ML prototypes into scalable, maintainable, production-ready solutions.
- Contribute to model monitoring, governance, technical documentation, ML tooling, and shared best practices across the team.
What Success Looks Like
- Deliver measurable impact: Develop and improve machine learning models that strengthen fraud detection, support more accurate decisions, and deliver tangible business value.
- Turn insights into innovation: Identify meaningful patterns, behaviors, and relationships in complex datasets and translate them into effective fraud detection signals.
- Build reliable, explainable ML solutions: Create models that are robust, interpretable, and evaluated against realistic production conditions.
- Take ideas into production: Work closely with Data Engineering to transform promising ML experiments into scalable, maintainable solutions.
- Drive continuous improvement: Use experimentation, production feedback, and emerging ML techniques to improve model performance and fraud decisioning.
- Make an impact through collaboration: Partner with Product, Fraud Domain Experts, and technical teams to solve complex challenges, share knowledge, and advance ML best practices.
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!