Data Science (Banking)

Capco
Kuala Lumpur, Malaysia
On-site

Who this role is best for

Aimed at senior data science professionals with banking experience who can lead analytics projects and collaborate across teams.

Best fit for

  • Candidates with 5–8 years of experience in financial services analytics and leadership potential
    — “5–8+ years’ experience in advanced analytics, data science, or quantitative strategy roles”
  • Professionals skilled in translating data into strategic business recommendations
    — “Proven ability to translate analytics into commercial and strategic recommendations”
  • Individuals with strong SQL and Python skills who can handle large-scale datasets
    — “Hands‑on proficiency in SQL, Python, or equivalent analytics tools”

Things to consider

  • The role demands a high level of stakeholder engagement and communication proficiency
    — “Strong stakeholder engagement and communication skills”
  • Candidates should be prepared to work on high-impact analytics projects for major financial institutions
    — “Work on high‑impact analytics and transformation initiatives for some of the world’s largest financial services organizations”

How to stand out

  • Highlight experience in leading analytics initiatives that drive measurable business outcomes
    — “deliver scalable, insight‑driven solutions that drive measurable business outcomes”
  • Demonstrate expertise in segmentation, propensity modeling, and performance optimization
    — “Conduct segmentation, lifecycle analysis, propensity modelling, and performance optimisation”
  • Showcase projects involving large-scale data preparation and model deployment
    — “Prepare, transform, and structure large volumes of data for advanced modelling and analytics”
  • Emphasize experience in embedding analytics into business strategies through collaboration
    — “Partner with cross‑functional teams to embed analytics into business initiatives”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • delivering optimization, growth, and risk insights
  • translating complex analytical outcomes into clear insights
  • establishing methodologies for impact measurement
Typical background
degree in Data Science, Statistics, Computer Science, Mathematics5-8+ years in advanced analytics, data science

Skills & requirements

Required

Advanced AnalyticsData ScienceStatistical ModellingMachine LearningSQLPythonA/B TestingData EngineeringStakeholder Engagement

Preferred

ConsultingFinancial ServicesBankingRisk ManagementCustomer Analytics

Stack & domain

SQLPythonStatistical ModellingMachine LearningQuantitative AnalysisA/B TestingData EngineeringDashboardsReporting SolutionsLeadershipCommunicationTeamworkProblem-solvingStrategic ThinkingFinanceBankingData ScienceAdvanced Analytics

About the role

Original posting from Capco via Greenhouse

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

Source: Capco careers (Greenhouse)

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