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Executive, Data Analytics

Executive, Data Analytics

CTOS Data SystemsKuala Lumpur, Kuala Lumpur, Malaysia
14 hours ago
Job description

Overview

We are Malaysia’s leading Credit Reporting Agency (CRA) and we are aggressively expanding our business, and looking for dynamic, driven and motivated individuals to join our team. Our Direct-To-Consumer segment (D2C) is one of our fastest growing product areas in the market, with an abundance of expansion plans and innovative ideas on hand.

Role Overview

This role is responsible for analyzing, interpreting, and leveraging data and risk scores, optimizing data strategies, and ensuring regulatory compliance. This role is key in supporting rating decisions, automating data workflows, and generating insights that influence credit assessments.

Responsibilities

Score Interpretation & Application

  • Interpret credit bureau scores and translate their implications for creditworthiness, probability of default, and loss given default.
  • Interpret trends, anomalies, and patterns in data to support risk assessment and forecasting.
  • Collaborate with sales, product teams, and leadership to develop, implement, and refine data strategies based on insights across business use cases.
  • Build and maintain dashboards, scorecards, and automated reporting tools.

Validation & Testing

  • Conduct harmonization works, rigorous testing and validation of data quality, accuracy, and effectiveness of derived metrics.
  • Document data sources, processes, and analytical methodologies clearly and comprehensively.
  • Ensure compliance with internal data governance and quality standards.
  • What does it take to be successful

    Qualifications

  • Diploma or Bachelor’s degree in Data Science, Analytics and / or Big Data
  • Work Experience

  • 4+ years of experience in data analysis, preferably within financial services, credit rating, investment research or business information providers
  • Able to read and understand financial statements, credit metrics and market instruments
  • Proficient in SQL and Excel for data extraction and manipulation
  • Proficient with data visualization tools (Tableau, Power BI)
  • Working knowledge of statistical software languages (Python, R, or SAS)
  • Strong analytical skills, hands-on experience with financial and economic data sets
  • Strong communication skills to present complex findings clearly
  • #J-18808-Ljbffr

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    Executive • Kuala Lumpur, Kuala Lumpur, Malaysia

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