Data Scientist - Credit Risk & Scoring

Michael Page; Daerah Khusus Ibukota Jakarta; On-site; IDR 300.000.000 - 400.000.000; Full time

Job summary

A global fintech company in Jakarta is seeking a Credit Risk Analytics expert to develop and monitor credit risk models. You will analyze consumer behavior and collaborate with various teams to integrate scoring models. The ideal candidate holds a degree in Data Science or a related field with 3-5 years of experience in credit risk analytics. This role offers a competitive salary, bonuses, and opportunities for professional growth.

Benefits

Attractive salary

Performance-based bonuses

Opportunities for professional growth

Flexible work arrangements

Wellness programs

Qualifications

• 3-5 years of experience in credit risk analytics or credit scoring.
• Proficiency in Python, R, SQL, and data visualization tools.
• Strong understanding of statistical modeling and machine learning.

Responsibilities

• Develop and monitor credit risk models and scoring algorithms.
• Analyze customer behavior and portfolio performance.
• Collaborate with teams to integrate scoring models.

Skills

Credit risk analytics

Statistical modeling

Machine learning

Data visualization

Communication skills

Education

Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or Computer Science

Tools

Python

R

SQL

Tableau

Power BI

Job description

• Multinational company
• Attractive salary

About Our Client

Our Client is a Global Fintech company specializing in alternative Credit Scoring for the consumers sector.

Job Description

• Develop, validate, and monitor credit risk models and credit scoring algorithms using statistical and machine learning techniques.
• Analyze customer behavior, repayment patterns, and portfolio performance to identify risk trends and opportunities.
• Collaborate with product, risk, and engineering teams to integrate scoring models into lending platforms.
• Design and implement data pipelines and feature engineering processes for model development.
• Conduct stress testing, scenario analysis, and model performance tracking.
• Ensure compliance with regulatory standards and internal risk policies.

The Successful Applicant

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 3-5 years of experience in credit risk analytics, credit scoring, or financial modeling.
• Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical modeling, machine learning, and data mining techniques.
• Experience with lending platforms, credit bureaus, and financial datasets is a plus.
• Excellent communication skills and ability to translate complex data insights into actionable business strategies.

What's on Offer

• Competitive salary and performance-based bonuses.
• Opportunities for professional growth and leadership.
• Collaborative and innovative work environment.
• Flexible work arrangements and wellness programs.