Data Scientist - Credit Risk

Michael Page; Daerah Khusus Ibukota Jakarta; On-site; IDR 484.105.000 - 806.843.000; Full time

Job summary

A fast-growing financial services company in Jakarta is seeking an experienced Data Scientist to develop advanced machine learning models for credit scoring and risk analysis. The successful candidate will collaborate with diverse teams, analyze large datasets, and ensure model accuracy. This role offers competitive compensation, professional development, and comprehensive benefits.

Benefits

Competitive package

Access to professional development

Comprehensive employee benefits

Qualifications

• Minimum 3-5 years of experience in a data science role.
• Strong focus on credit risk modeling or similar financial domain.
• Deep knowledge of credit lifecycle and financial products.

Responsibilities

• Develop, implement, and maintain advanced machine learning models.
• Analyze large datasets to identify trends and insights.
• Collaborate with product, engineering, and business teams.

Skills

Python or R

SQL

Machine Learning Frameworks

Statistical Modeling

Data Mining

Predictive Analytics

Tools

Scikit-learn

TensorFlow

PyTorch

Job description

• Competitive package
• Some client facing opportunity

About Our Client

Our Client is a fast-growing Credit Scoring company that provides both Credit Assessment & Risk Analysis solutions

Job Description

• Develop, implement, and maintain advanced machine learning models for credit scoring, fraud detection, and customer segmentation.
• Analyze large datasets to identify trends, patterns, and insights related to credit risk and consumer behavior.
• Collaborate with product, engineering, and business teams to translate analytical findings into actionable business strategies.
• Monitor and validate the performance of existing models, ensuring accuracy and regulatory compliance.
• Communicate complex analytical concepts and results to both technical and non-technical stakeholders.

The Successful Applicant

• Required Experience: A minimum of 3-5 years of experience in a data science role, with a strong focus on credit risk modeling or a similar financial domain.
• Proficiency in Python or R and SQL.
• Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, data mining, and predictive analytics.
• Domain Expertise: Deep knowledge of credit lifecycle, financial products, and regulatory requirements.

What's on Offer

• An opportunity to work with a leading player in the financial services industry in Indonesia.
• A collaborative and technology-driven work environment.
• Access to professional development and learning opportunities.
• Comprehensive employee benefits and insurance coverage.

If you are passionate about data science and keen to contribute to the growth of the financial services industry, we encourage you to apply.