Data Science (Banking)

Malaysia

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

ABOUT CAPCO

Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry.  You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

ROLE DESCRIPTION

Leads advanced analytics initiatives within a large-scale, data-rich environment, driving optimization and strategic decision-making across customer and business portfolios. This role translates complex, high-volume datasets into actionable insights and scalable analytical solutions, delivering measurable business impact through modelling, experimentation, and performance tracking. Working in a cross-functional setting, the individual will combine strong  technical capability with commercial acumen to influence strategy and enable data-driven growth.

Key Responsibilities

• Lead end-to-end analytics workstreams across customer and business portfolio optimization initiatives
• Analyze large-scale transactional and behavioral datasets to identify growth, efficiency, and risk management opportunities 
• Develop, validate, and deploy statistical and machine learning models to support business strategy 
• Conduct segmentation, lifecycle analysis, propensity modelling, and performance optimization analysis 
• Design and evaluate experimentation frameworks, including A/B testing, control groups, and impact measurement methodologies 
• Prepare and transform structured and unstructured data for advanced modelling and reporting 
• Enhance and optimize analytical code and processes for scalability and efficiency 
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