Data Science (Banking)

Capco
Kuala Lumpur
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5-8 yearsEducation: mastersSkills: ["Communication","Leadership","Problem-solving"]

Data Scientist leads analytics workstreams for end-to-end portfolio optimization in banking, transforming large-scale transaction and customer data into actionable insights. Uses advanced analytics and ML to drive growth, profitability, and risk optimization across client portfolios, with a focus on credit card lifecycle, segmentation, and test-and-learn frameworks to inform strategic decisions.

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FursaFursa
Capco
Capco
4 months ago

Data Science (Banking)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Data Scientist leads analytics workstreams for end-to-end portfolio optimization in banking, transforming large-scale transaction and customer data into actionable insights. Uses advanced analytics and ML to drive growth, profitability, and risk optimization across client portfolios, with a focus on credit card lifecycle, segmentation, and test-and-learn frameworks to inform strategic decisions.
Location: Kuala Lumpur
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Lead analytics workstreams across the credit card portfolio lifecycle, including acquisition, activation, usage, retention, payment success, fraud, and credit risk
  • •Develop and deploy statistical models and machine learning solutions to identify opportunities for growth, efficiency, and risk mitigation
  • •Perform customer segmentation, lifecycle modelling, propensity modelling, and uplift analysis to inform portfolio strategies
  • •Design and evaluate test-and-learn frameworks, including A/B testing, control groups, and causal inference methodologies
  • •Analyze large-scale transaction, customer, and behavioural datasets to generate actionable insights

Key Requirements

  • •Master’s degree or higher in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field
  • •5–8+ years of experience in data science or advanced analytics, ideally within financial services or retail banking
  • •Proven experience in credit card portfolio analytics, customer lifecycle modelling, or marketing optimisation
  • •Strong expertise in statistical modelling techniques (e.g., regression, clustering, classification)
  • •Experience working with large datasets using tools such as SQL, Hive, Hadoop, Spark, Python, or cloud-based analytics platforms
Experience:5-8 yearsFinancial servicesBankingPayments
Education:Master's
Skills:CommunicationLeadershipProblem-solving
Languages:English
Tech Stack:SQLHiveHadoopSparkPythonTableauPower BIPandasScikit-learn

Company Brief

Capco
Global management and technology consultancy specializing in financial services. Capco advises banks, insurers, and capital markets firms on digital transformation, risk and compliance, technology implementation, and operational improvement, combining industry expertise with advisory and engineering capabilities.
Industry: Management Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: London, United Kingdom
Founded: 1998
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn