Risk Modeling Specialist, Monee (2026 Graduate)

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