About the Role
This role leads data science projects and teams to develop advanced analytical models that support key business functions in risk, fraud detection, and customer intelligence. The position requires technical depth, leadership capabilities, and strong collaboration across departments to deliver actionable insights.
Responsibilities
- Design and deploy predictive models to support risk, fraud, and customer insights
- Lead a team of data scientists in delivering high-impact analytical projects
- Collaborate with business units to identify opportunities for data-driven decision making
- Develop machine learning pipelines for automation and scalability
- Translate complex data findings into actionable business recommendations
- Ensure model outputs comply with regulatory and governance standards
- Mentor junior team members on technical and analytical best practices
- Drive innovation through experimentation with new algorithms and techniques
- Manage end-to-end delivery of data science use cases
- Work with data engineers to integrate models into production systems
- Monitor model performance and implement retraining strategies
- Present insights and dashboards to senior stakeholders
- Champion data quality and integrity across platforms
- Align data science initiatives with strategic business goals
- Evaluate third-party tools and technologies for analytical enhancement
- Support change management during model deployment
- Conduct deep-dive analysis on customer behavior and transaction patterns
- Optimize existing analytical frameworks for efficiency and accuracy
- Foster collaboration between IT, compliance, and business teams
- Stay current with industry trends in AI and financial services
Compensation
Competitive salary commensurate with experience
Work Arrangement
Hybrid work model with flexibility for remote and on-site presence
Team
Part of the analytics and data science division within a large financial institution
Career Development
- Opportunities for professional growth through training and leadership roles
- Exposure to cutting-edge technologies in artificial intelligence and data platforms
- Mentorship programs and internal mobility options
Work Environment
- Collaborative culture emphasizing innovation and continuous learning
- Supportive leadership focused on team development
- Dynamic setting with fast-paced project cycles
Available for eligible candidates
