Predictive Modeller, Credit Risk - Remote

Overview

KOHO is on a mission to make financial services better for every Canadian, focusing on transparency and user empowerment. The company promotes a remote-first culture that values work-life integration and supports its employees to achieve their best work.

In Short

• Design and develop statistical and machine learning models for credit risk parameters.
• Execute the full model development lifecycle from data exploration to deployment.
• Implement advanced modelling techniques including regression and deep learning.
• Conduct model performance monitoring and regulatory compliance validation.
• Collaborate with various teams to translate business requirements into technical specifications.
• Create automated dashboards and reports for business decision-making.
• Document model methodologies and insights.
• Lead model refresh initiatives and back-testing procedures.

Requirements

• 5+ years of experience in predictive modelling.
• Experience developing credit risk models for consumer lending products.
• Expertise in Python and SQL, with hands-on experience in model development.
• Strong knowledge of statistical modelling techniques and machine learning algorithms.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Track record of optimizing business outcomes of machine learning models.
• Excellent communication skills for presenting technical concepts.
• Experience with regulatory frameworks in financial services.
• Bachelor’s or Master’s degree in a quantitative field.
• Passion for improving financial products through data science.

Benefits

• Opportunity to shape the future of fintech.
• Competitive compensation and equity.
• Engaged team environment.
• Generous vacation and wellness days.
• Remote-first environment with coworking support.
• Access to coaching and growth programs.
• Parental top-up and leave policies.
• Comprehensive health benefits.
• Budgets for professional development and home office setup.