Head - Data Science - Retail Credit Risk Domain - BFS/FinTech

Head of Data Science - Retail Credit Risk - Machine Learning and Artificial Intelligence experience is mandatory.

Candidates from BFS and FinTech with Retail Credit Risk experience only need to apply. Candidates with stable career will be given priority.

Job Responsibilities :

- Build advanced Data Science/Machine Learning models to create significant business impact for clients and ensure client satisfaction

- Support core algorithmic evolution of the company

- Work closely with pre-sales and business development teams to create compelling business offerings

- Understand evolving market needs and support evolution of product roadmap by providing technical and domain expertise

- Attract and Develop globally superior ML competency in the organisation

- Recruiting, coaching, mentoring and developing a pool of Data Scientists within the organisation and ensuring alignment of pool to company-wide vision and strategies

Skills & Competencies :

- 10+ years of professional experience of working in financial services sector in the domain of credit risk/fraud/ collections

- Exposure to machine learning, natural language processing, statistical modelling

- Exceptional analytical and problem-solving skills

- Proven track record of hiring and leading high performing teams

- PhD/Master's degree in Analytics discipline