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Data Scientist, Cards & Payments Analytics

Data Scientist, Cards & Payments Analytics

PERSOL Malaysia
5-8 Years
MYR 15,000 - 19,000 per month
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Job Description

Position: Data Scientist, Cards & Payments Analytics

Location: Kuala Lumpur

Industry: Financial Services

Employment Type: 12 months contract with PERSOL

Salary: RM15,000 – RM19,000 (based on qualifications & experience)

What You'll Be Doing

Advanced Analytics & Data Science

✅ Lead analytics workstreams across the credit card lifecycle, including:

  • Customer Acquisition
  • Card Activation
  • Usage & Spend Optimization
  • Customer Retention
  • Payment Success
  • Fraud Prevention
  • Credit Risk Analytics

✅ Develop and deploy advanced statistical models and machine learning solutions to identify growth, efficiency, and risk optimization opportunities.

✅ Design and execute:

  • Customer Segmentation
  • Propensity Modelling
  • Customer Lifecycle Modelling
  • Uplift Modelling
  • Predictive Analytics
  • Portfolio Optimization Strategies

Experimentation & Performance Measurement

✅ Design and evaluate test-and-learn frameworks using:

  • A/B Testing
  • Control Groups
  • Experimental Design
  • Causal Inference Techniques

✅ Measure campaign effectiveness and translate insights into business recommendations.

✅ Drive continuous improvement through data-driven experimentation.

Big Data & Analytics Engineering

✅ Analyze large-scale transaction, behavioural, and customer datasets.

✅ Build predictive modelling datasets using structured and unstructured data sources.

✅ Work with modern analytics technologies including:

  • SQL
  • Python
  • Spark
  • Hadoop
  • Hive
  • Cloud Analytics Platforms

✅ Enhance and optimize analytical code supporting critical business processes.

Data Visualization & Business Storytelling

✅ Design and develop dashboards using:

  • Power BI
  • Tableau

✅ Translate complex analyses into clear, actionable recommendations for business stakeholders.

✅ Support executive decision-making through insightful reporting, presentations, and performance tracking.

Cross-Functional Collaboration

✅ Partner closely with:

  • Product Teams
  • Marketing Teams
  • Risk & Fraud Teams
  • Technology Teams
  • Business Stakeholders

✅ Support the implementation and operationalization of analytics-driven strategies.

✅ Contribute to capability building by documenting methodologies, best practices, and reusable analytical assets.

What We're Looking For

✔ Master's Degree or above in:

  • Data Science
  • Statistics
  • Mathematics
  • Computer Science
  • Engineering
  • Other Quantitative Disciplines

✔ 5-8+ years of experience in:

  • Data Science
  • Advanced Analytics
  • Machine Learning
  • Predictive Modelling

✔ Experience within:

  • Financial Services
  • Retail Banking
  • Credit Cards
  • Payments
  • Fintech

✔ Strong knowledge of:

  • Statistical Modelling
  • Regression Analysis
  • Classification Techniques
  • Clustering Methods
  • Predictive Analytics

✔ Hands-on experience with:

  • Machine Learning Algorithms
  • Time Series Analysis
  • Experimental Design
  • Causal Inference

✔ Advanced proficiency in:

  • Python
  • SQL
  • Spark
  • Hadoop
  • Hive

✔ Experience developing dashboards and visualization solutions in Power BI or Tableau.

Masters/ Post Graduate, Bachelors/ Degree

About Company

With deep roots across 13 APAC markets, PERSOL delivers strategic workforce solutions that blend local expertise with regional scale.

By submitting your curriculum vitae or personal data to us in connection with your job application, you are deemed to have read and agreed to the terms of our Privacy Policy, and consented to the collection, use and disclosure of your personal data by us and our affiliates, in accordance with our Privacy Policy. Please visit https://www.persolmalaysia.com/privacy-policy for a copy of our Privacy Policy. If you wish to withdraw your consent, please drop us an email at mypdpa@persolapac.com to let us know.

For more information, please visit www.persolmalaysia.com

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Ramyia Ashwini Arunaselam

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