Published: Wed, 11 Jun 2025 10:50:45 GMT
Data Science Team Lead – Banking/Fintech
We are currently seeking a highly skilled Data Science Team Lead to join our team. As the Team Lead, you will play a crucial role in leading a high-performing Data Science team. This position requires a strong background in banking and fintech, as well as expertise in advanced ML techniques. You will work closely with cross-functional teams to develop data-driven solutions for scorecard development, portfolio risk management, and model performance monitoring.
Key Responsibilities:
Advanced ML Development and Deployment:
– Develop and refine ML models for credit scoring, fraud detection, marketing strategies, and customer behavior analytics.
– Manage AI initiatives, including integration of external AI services.
– Oversee the entire lifecycle of ML models, from concept to deployment, including quality assurance, recalibration, and performance monitoring.
Team and Stakeholder Management:
– Lead and develop the Data Science team through hiring, training, and performance management.
– Collaborate with risk, collection, and business teams to align 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 updated on industry trends and methodologies, introducing innovative tools and processes.
Requirements:
Technical: Proficiency in Python, SQL, and ML techniques (regression, classification, boosting, NLP/LLM).
Tools: Experience with PowerBI, Excel, Tableau, Git, AWS (preferred), and MLOps.
Soft Skills: Strong team leadership, excellent communication, agile expertise, and experience in risk analytics (preferred).
Language: Fluent in English.
Preferred Qualifications:
– Educational background in mathematics, machine learning, or statistics.
– Proven experience in fintech and banking, with a focus on 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. Apply link