Data Science (Banking)

📋 Description

• Lead end-to-end advanced analytics initiatives, delivering optimization, growth, and risk insights
• Analyse large-scale transactional and behavioural datasets to uncover opportunities for commercial
• Design, develop, validate, and deploy statistical and machine learning models to support strategic
• Conduct segmentation, lifecycle analysis, propensity modelling, and performance optimisation
• Design and evaluate robust experimentation and testing frameworks, including A/B testing and
• Establish methodologies for impact measurement and performance tracking

🎯 Requirements

• Degree (or higher) in Data Science, Statistics, Computer Science, Mathematics, or a related
• 5–8+ years’ experience in advanced analytics, data science, or quantitative strategy roles
• Strong foundation in statistical modelling, machine learning, and quantitative analysis
• Hands-on proficiency in SQL, Python, or equivalent analytics tools
• Solid understanding of experimental design and causal inference
• Proven ability to translate analytics into commercial and strategic recommendations

🎁 Benefits

• Work on market-leading analytics programmes in the financial services industry
• Partner with senior clients on strategic, data-driven decisions
• Be part of a rapidly growing APAC team with strong career acceleration opportunities
• Thrive in an inclusive, entrepreneurial, and high-performance culture