Job Description
Citizens Bank is seeking a Data Science Lead to spearhead enterprise fraud modeling initiatives. This role combines hands-on technical expertise with leadership responsibilities, driving innovation and ensuring high-quality model development in a regulated environment.
- Day-to-Day Responsibilities
- Lead the design, planning, and development of fraud detection ML models
- Supervise and mentor a team of data scientists & data analysts, fostering technical growth and collaboration
- Act as a thought leader, introducing new methodologies and technologies to enhance modeling capabilities
- Participate in hands-on coding and modeling activities
- Maintain a well-organized, high-quality codebase—and enforce best practices in version control
- Contribute to strategic visioning and translate plans into actionable steps for the team
- Engage with stakeholders to provide consultative insights and regular progress updates
- Build and maintain business relationships with data engineering and fraud strategy teams
- Maintain project timelines and deliverables
- Characteristics of a Competitive Candidate
- Extensive experience in and comprehensive knowledge of Fraud Strategy analytics or modeling
- Accomplished individual contributor
- Proactive and self-driven—with a strong sense of ownership
- Excellent communication & interpersonal skills – able to build trust, influence decisions, and navigate cross-functional dynamics
- Highly organized and detail oriented — holds self and others to high standard of quality
- Strategic thinker who stays current with emerging trends and integrates them into daily work
- Strong leadership qualities and experience: able to inspire team toward a vision and build an effective culture of excellence
- Passionate about data and fraud prevention; has a contagious curiosity
- Key Requirements
- 5+ years of experience in fraud modeling or strategy
- Demonstrated ability to lead teams and mentor junior colleagues
- Strong communication skills, including presentations and deck creation
- Experience engaging with model risk governance in a regulated institution
- Expertise in handling large-scale datasets and real-time time series modeling
- Hands-on experience building machine learning and deep learning models for fraud detection
- Technical Skills
- Cloud Experience (AWS): At least 5 years’ experience
- Python or SAS: Expert level
- SQL: Expert Level
- PySpark: Intermediate to Expert
- GitHub / BitBucket: Intermediate to Expert
- Neo4J: Preferred
- Apache Flink: Nice to have
- Education
- Ph.D. in Engineering, Statistics, Computer Science, Data Science, Mathematics, or Operations Research (Preferred)
- Master’s degree in one of the above fields (Minimum)
- Hours & Work Schedule
- Hours per Week: 40
- Work Schedule: Mon-Friday
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