Data Science (Banking)
At a glance
Mid-level Data Science role at Capco. Kuala Lumpur.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Guide analytics projects that find growth, efficiency and risk opportunities in customer and business portfolios
- Examine extensive transaction and behavior records to reveal ways to improve commercial results
- Create, validate and put statistical and machine-learning models into use, including segmentation and propensity work
- Build testing approaches such as A/B trials, then measure their effects and track results
- Explain findings through dashboards and concise recommendations for senior decision-makers
What you bring
- A degree in data science, statistics, mathematics or another related quantitative field
- At least five years working in advanced analytics, data science or quantitative strategy
- Strong knowledge of statistical modelling, machine learning, experimental design and causal inference
- Practical ability with SQL, Python or comparable analytics tools
- You can turn analytical findings into commercial recommendations and communicate them effectively to stakeholders
Who this fits
This role suits an experienced analytics professional who can lead complex work and connect analysis with business decisions. You’ll work with senior stakeholders and cross-functional teams.
From the employer
About Capco
Capco is a global technology and business consultancy focused exclusively on the financial services sector. We partner with leading banks and financial institutions to help them succeed in an increasingly data‑driven, regulated, and fast‑evolving industry.
At Capco, you’ll work on high‑impact analytics and transformation initiatives for some of the world’s largest financial services organizations. We foster an inclusive, entrepreneurial culture where individuality is celebrated and people are encouraged to #BeYourselfAtWork. Diversity, in all its forms, is fundamental to our success.
Role Overview
Capco is seeking a Senior Advanced Analytics / Data Science Lead to drive sophisticated analytics initiatives within large‑scale, data‑rich financial services environments.
This role is ideal for an experienced analytics professional who enjoys working at the intersection of data science, business strategy, and decision‑making. You will lead complex analytics workstreams, translate high‑volume data into actionable insights, and deliver scalable, insight‑driven solutions that drive measurable business outcomes across customer and business portfolios.
Key Responsibilities
Advanced Analytics & Modelling
- Lead end‑to‑end advanced analytics initiatives, delivering optimization, growth, and risk insights across customer and business portfolios
- Analyse large‑scale transactional and behavioural datasets to uncover opportunities for commercial performance and efficiency
- Design, develop, validate, and deploy statistical and machine learning models to support strategic decision‑making
- Conduct segmentation, lifecycle analysis, propensity modelling, and performance optimisation
Experimentation & Measurement
- Design and evaluate robust experimentation and testing frameworks, including A/B testing and control groups
- Establish methodologies for impact measurement and performance tracking
Data Engineering & Scalability
- Prepare, transform, and structure large volumes of data for advanced modelling and analytics
- Enhance and optimise analytical code and processes to ensure scalability, robustness, and efficiency
Insight Communication & Stakeholder Engagement
- Translate complex analytical outcomes into clear, compelling, and actionable insights for senior stakeholders
- Develop dashboards and reporting solutions to monitor performance and communicate trends
- Support senior leadership through structured storytelling, insight summaries, and performance reporting
Collaboration & Thought Leadership
- Partner with cross‑functional teams to embed analytics into business initiatives
- Document methodologies and contribute to reusable analytical assets and best practices across Capco
Qualifications & Experience
Required
- Degree (or higher) in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
- 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
- Strong stakeholder engagement and communication skills
Preferred
- Experience in consulting, financial services, or large data‑driven organizations
- Exposure to analytics use cases within banking, payments, risk, or customer analytics environments
Why Join Capco?
- 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
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