Risk Modeling Specialist

MONEE CONSULTING SG PRIVATE LIMITED; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading consulting firm in Singapore is searching for a Risk Analyst intern to develop and validate risk models including Expected Credit Loss (ECL) and credit scorecards. You'll collaborate with teams across the company to ensure the accuracy and compliance of data governance while enhancing data pipelines. Ideal candidates are currently pursuing a relevant Bachelor's Degree and have a solid foundation in risk modeling and statistical analysis. This role offers the opportunity to work in a fast-paced environment and contribute to critical data projects.

Qualifications

• Currently pursuing a Bachelor's Degree or above with strong academic results.
• Experience in SQL, Python, R, or other programming languages is a plus.
• Ability to manage multiple projects and coordinate across teams.

Responsibilities

• Develop and validate risk models, including ECL models and credit scorecards.
• Build and enhance data pipelines for risk modeling.
• Collaborate with stakeholders to translate business needs into data solutions.

Skills

Risk modeling

Statistical analysis

SQL

Python

R

Analytical skills

Problem-solving

Communication

Education

Bachelor's Degree in Quantitative Finance, Statistics, Mathematics, Data Science, or Computer Science

Job description

Responsibilities

• Develop, implement, and validate risk models, including Expected Credit Loss (ECL) models, credit scorecards, fraud risk models, and other models required by the business
• Build, maintain, and enhance data pipelines and datasets for risk modeling, monitoring, and reporting purposes
• Maintain strong data governance standards, ensuring data accuracy, completeness, and compliance with regulatory requirements
• Collaborate with internal stakeholders (Product, Development, and Operations) to translate business requirements into risk data solutions and model specifications
• Monitor model performance and recalibrate as necessary based on changing portfolio dynamics or regulatory guidance
• Conduct model back-testing, stress testing, and scenario analysis to ensure model robustness and regulatory compliance
• Generate insights and visualizations to communicate model outputs and risk exposures to management and risk committees
• Support regulatory submissions, audits, and internal model governance processes
• Continuously improve risk data infrastructure, reporting frameworks, and analytics capabilities

Requirements

• Currently pursuing/possesses a Bachelor's Degree or above in Quantitative Finance, Statistics, Mathematics, Data Science, Computer Science, or a related field at a reputable university with strong academic credentials/results, expected to graduate by July 2026 and join us by August 2026
• Strong foundation in risk modeling, statistical analysis, and quantitative methods
• Experience in SQL, Python, R, or other programming languages for data analysis and model development
• Prior internship/full-time/part-time working experience in Risk Modeling, Data PM, Data Scientist, or related field is a plus
• Experience with model validation, back-testing, or scenario analysis is a plus
• Strong analytical and problem-solving skills with meticulous attention to detail
• Ability to manage multiple risk data projects and coordinate across teams
• Good communication skills to translate technical findings into actionable business insights
• Self-motivated and able to work in a fast-paced environment