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
- Lead analytics work from start to finish, finding ways to improve growth, efficiency and risk outcomes
- Study transaction and customer behavior data to identify commercial opportunities and operational improvements
- Create and validate statistical and machine-learning models for decisions, including segmentation and propensity analysis
- Build tests and measurement approaches, then develop dashboards that track results and highlight trends
- Explain analytical findings to senior leaders and record methods that teams can reuse
What you bring
- A degree or advanced qualification in data science, statistics, computer science, mathematics or another listed quantitative field
- At least five years in advanced analytics, data science or quantitative strategy
- Strong grounding in statistical methods, machine learning and quantitative analysis, plus SQL, Python or equivalent tools
- Understanding of experiment design and causal inference, with skill in turning analysis into business recommendations
Who this fits
This role suits an experienced analytics professional who can connect modeling work to business decisions and communicate findings to senior stakeholders. Consulting, financial services or banking-related analytics experience is preferred.
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 Data Science 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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