remote
Manager, Global Neo Analytics
Software Engineer
Lead a global analytics team to design and deploy AI‑driven customer segmentation models, leveraging neural networks, data mining, and visualization tools to drive actionable insights for retail banking.
About the role
Key Responsibilities
- Define and execute the analytics strategy for global retail banking initiatives, focusing on customer segmentation and predictive modeling.
- Design, develop, and validate artificial neural network models to uncover hidden patterns in large‑scale banking data.
- Lead data mining projects, transforming raw datasets into structured insights that support business decisions.
- Create interactive data visualizations and dashboards to communicate findings to senior stakeholders.
- Mentor a multidisciplinary analytics team, fostering best practices in data science, model governance, and performance monitoring.
Requirements
- 5+ years of experience in advanced analytics, with a proven track record of delivering neural‑network‑based solutions.
- Strong expertise in customer segmentation, data mining techniques, and data visualization tools (e.g., Tableau, Power BI).
- Proficiency in programming languages and libraries commonly used for AI/ML (Python, TensorFlow, PyTorch) and a solid understanding of statistical methods.
- Excellent communication skills to translate complex analytical results into clear business recommendations.
- Leadership experience managing cross‑functional analytics teams in a banking or financial services environment.
Skills
software developmentsystem designproblem solving