Job Description
We are seeking a Data Science Team Lead with expertise in banking/fintech to lead a high-performing DS team. This position combines advanced ML knowledge, team leadership, and cross-functional collaboration to drive data-driven solutions in scorecard development, portfolio risk management, and model performance monitoring.
Key Responsibilities:
- Advanced ML Development and Deployment:
- Build and refine ML models for credit scoring, fraud detection, marketing strategies, and customer behavior analytics.
- Manage AI initiatives, including integrating external AI services.
- Oversee the lifecycle of ML models, from concept to deployment, including quality assurance, recalibration, and performance monitoring.
- Team and Stakeholder Management:
- Lead and develop the DS team through hiring, training, and performance management.
- Collaborate with risk, collection, and business teams to align DS projects with organizational needs.
- Facilitate communication and prioritize tasks to meet stakeholder expectations.
- Process and Tool Optimization:
- Manage tools and processes such as Git, Jira, Confluence, and Agile workflows.
- Ensure data reliability and stability through collaboration with DWH teams and feature-store administration.
- Drive integration and optimization of new and existing data sources.
- Knowledge and Standards Management:
- Maintain comprehensive project documentation and implement best practices.
- Oversee knowledge-sharing initiatives, including Confluence updates, Git documentation, and internal training.
- Stay ahead of industry trends and methodologies, introducing innovative tools and processes.
Requirements
- Technical: Python, SQL, ML techniques (regression, classification, boosting, NLP/LLM)
- Tools: PowerBI, Excel, Tableau, Git, AWS (preferred), MLOps experience
- Soft Skills: Team leadership, excellent communication, agile expertise, and risk analytics experience (preferred)
- Language: Fluent English
Preferred Qualifications:
- Educational background in mathematics, machine learning, or statistics
- Proven experience in fintech and banking, particularly in emerging markets
- Experience with AI-tools
- Expertise in ML for text, speech, and behavioral analytics or dynamic models in the card business.
Benefits
- Flexible and completely remote full-time role
- The opportunity to work in an innovative fintech company with a global reach
- Engaging tasks and the chance to influence the development of cutting-edge products
- The opportunity to grow your skills in a global, distributed team environment.
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