About

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:

1. 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.