Risk Modeling Specialist

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

Job summary

A financial consulting firm in Singapore is seeking an intern for risk modeling and data analysis. The role involves developing various risk models, enhancing data pipelines, and ensuring data compliance. Candidates should have a strong foundation in quantitative methods and possess skills in SQL, Python, or R. This opportunity is ideal for students pursuing a degree in relevant fields, with an expected graduation by July 2026 and joining by August 2026.

Qualifications

• Currently pursuing/possesses a Bachelor's Degree or above, expected to graduate by July 2026.
• Strong foundation in risk modeling and quantitative methods.
• Experience in SQL, Python, R or data analysis programming languages.

Responsibilities

• Develop, implement, and validate risk models including ECL models and scorecards.
• Build and maintain data pipelines for risk modeling.
• Monitor model performance and recalibrate based on guidance.

Skills

Risk modeling

Statistical analysis

SQL

Python

R

Analytical skills

Education

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

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