Data Science and Analytics Lead

Bachelor of Science (Any, Computers, Physics, Statistics), Bachelor of Arts (Maths)

Nationality: Any Nationality

Vacancy: 1 Vacancy

What it takes to succeed:

• Strong background in data science, machine learning, and AI, with experience in credit risk modelling and financial services.
• Deep understanding of AI governance, model transparency, and regulatory compliance in financial services.
• Hands-on experience with MLOps, model deployment, and automated monitoring solutions.
• Strong analytical mindset with a proven ability to drive business impact through data science.
• Excellent leadership skills, with the ability to mentor and build high-performing teams.
• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Physics, Computer Science, Data Science, Engineering, Economics, Financial Engineering, Actuarial Science or a related discipline.
• Experience in fintech, digital lending, or embedded finance is preferred.
• Exposure to cloud platforms such as AWS, GCP, or Azure for data engineering and machine learning is beneficial.
• Familiarity with graph analytics, network science, or behavioral data modelling is beneficial.
• Knowledge of causal inference techniques and advanced experimentation methodologies is beneficial.
• Prior experience in expanding data science functions into new markets is beneficial.