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Analytics Modelling & Analytics Manager Job Opening In Petaling Jaya – Now Hiring CTOS


Job description

Analytics Modelling & Analytics Manager

We are seeking an experienced Analytics Modelling & Analytics Manager to lead the development of advanced risk models for a leading credit bureau.

The role focuses on building and validating statistical and machine learning models that power decision‑making across the credit lifecycle.

Scope

The scope includes both traditional bureau models and alternative data models, depending on use cases.

The successful candidate will combine strong technical modelling expertise with hands‑on data processing skills, managing projects end‑to‑end across diverse data sources.

Key Responsibilities

  • Design, develop, validate, and maintain predictive risk models using credit bureau and alternative datasets.

  • Build specialized models such as bureau scorecards, collections/recovery models, client‑specific models, income proxy/affordability models, and alternative‑data‑based risk models.

  • Test applicability of alternative data in the absence of bureau data.

Data Processing & Analytics

  • Extract, transform, and process large and complex datasets for modelling.

  • Develop efficient data pipelines using Python, SAS, SQL, and big data management tools.

  • Conduct rigorous feature engineering, data quality checks, and exploratory analysis.

  • Explore and integrate diverse datasets (payment, trade, telco, digital footprint, etc.).

Model Governance & Compliance

  • Ensure models comply with regulatory standards and internal governance.

  • Document methodology, assumptions, validation results, and monitoring plans.

Stakeholder Management

  • Work with banks, financial institutions, and fintech clients to deliver fit‑for‑purpose models.

  • Present complex results clearly to both technical and business stakeholders.

  • Manage end‑to‑end modelling projects, including scoping, design, development, and delivery.

  • Guide junior analysts and set best practices in modelling and analytics.

Requirements

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Data Science, or related field.

  • 5–7 years’ hands‑on experience in credit risk model development within financial institutions, fintechs, or credit bureaus.

  • Strong proficiency in statistical modelling techniques (logistic regression, survival models, ML techniques).

  • Proficiency in modelling and data processing tools: Python, SAS, SQL, big data management platforms.

  • Solid understanding of credit bureau and alternative data.

  • Experience in model governance, validation, and regulatory compliance.

  • Strong communication and stakeholder engagement skills.

KPIs / Success Measures

  • Delivery of models within agreed project timelines and client expectations.

  • Achieving or exceeding target predictive power benchmarks (e.g., GINI ≥ 45, KS ≥ 0.35, or as per client/regulatory standards).

  • Demonstrated uplift in client outcomes (e.g., higher approval rates, improved collections, lower bad rates).

  • Accuracy and robustness of models under backtesting and out‑of‑time validation.

  • Adoption rate of models by clients (implementation into production).

  • Compliance with regulatory, audit, and governance standards (zero critical findings).

  • Contribution to innovation through successful testing of new data sources and techniques.

  • Effective knowledge transfer and capability building within the team.

Nice‑to‑Have

  • Experience with AWS or other cloud‑based analytics environments.

  • Familiarity with advanced ML techniques (XGBoost, LightGBM, neural networks).

  • Regional experience in Asia or emerging markets.

What We Offer

  • Opportunity to shape the next generation of bureau and alternative data models.

  • Exposure to high‑impact projects with banks, fintechs, and regulators.

  • Collaborative and innovative environment with strong career growth potential.

Seniority Level

Director

Employment Type

Full‑time

Job Function

Information Technology and Analyst

#J-18808-Ljbffr

Required Skill Profession

Management & Operations, It & Technology


  • Job Details

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Unlock Your Analytics Modelling Potential: Insight & Career Growth Guide


Real-time Analytics Modelling Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Analytics Modelling in Petaling Jaya, Malaysia, highlighting market share and opportunities for professionals in Analytics Modelling roles.

716 Jobs in Malaysia
716
77 Jobs in Petaling Jaya
77
Download Analytics Modelling Jobs Trends in Petaling Jaya and Malaysia

Are You Looking for Analytics Modelling & Analytics Manager Job?

Great news! is currently hiring and seeking a Analytics Modelling & Analytics Manager to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at CTOS adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Malaysia laws and regulations

What Is the Average Salary Range for Analytics Modelling & Analytics Manager Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Petaling Jaya. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Analytics Modelling & Analytics Manager typically include Management & Operations, It & Technology and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Analytics Modelling & Analytics Manager Job Success

CTOS interview tips for Analytics Modelling & Analytics Manager

Here are some tips to help you prepare for and ace your Analytics Modelling & Analytics Manager job interview:

Before the Interview:

Research: Learn about the CTOS's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Analytics Modelling & Analytics Manager interview at CTOS, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the CTOS's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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