Data Scientist, Credit Risk
4 days ago
We're on a mission to make financial services better for every Canadian. That means no hidden fees, no predatory interest rates - just financial products designed to help our users spend smart, save more, and build real wealth. We're a performance organization with a strong heart: we care deeply about outcomes, and everything ties back to our mission - to financially empower a generation of Canadians.
At KOHO, we're not your average 9-5. We believe real impact comes from people who are trusted, empowered, and supported to do their best work - without sacrificing their lives to do it. We prioritize work-life integration, not just work-life balance. That means asynchronous collaboration, flexible hours, and a remote-first setup built around autonomy and high trust.
KOHO is entering its next chapter - leaner, smarter, more AI-integrated. We're building for impact, not bureaucracy. If you thrive in environments that value clarity, ownership, and bold thinking, you'll fit right in.
About the RoleWe're building a world-class financial product and we need someone to help take our data operations to the next level. Our team is growing fast, and we're looking for a Predictive Modeller to join us. You understand the data-driven decision making needs of a high-growth organization and are focused on concrete outcomes and KPIs. You look for the highest leverage solution to the most important problems, through either pragmatic analysis, a predictive model, or unsupervised learning methods.
What you'll doDesign and develop statistical and machine learning models for credit risk parameters (PD, EAD, LGD) across lending products including credit card, line of credit, overdraft, BNPL, etc.
Execute full model development lifecycle from data exploration and feature engineering through validation and deployment
Implement advanced modelling techniques including regression, classification, ensemble methods, and deep learning algorithms
Conduct model performance monitoring, champion-challenger testing, and regulatory compliance validation
Collaborate with Risk Management, Credit, and Product teams to translate business requirements into technical specifications
Create automated dashboards, reports, and ad-hoc analyses to support strategic business decision-making
Document model methodology, results, and insights
Lead model refresh initiatives and back-testing procedures to maintain predictive accuracy and performance
5+ years of experience in predictive modelling with demonstrated collaboration across data science, engineering, and product teams
Proven experience developing credit risk models (PD, EAD, LGD) for consumer lending products including credit card, line of credit, overdraft, BNPL, etc.
Expert proficiency in Python and SQL with hands-on experience in feature engineering, model development, validation, and performance analysis
Strong knowledge of statistical modelling techniques, machine learning algorithms, and model deployment in production environments
Experience with MLOps platforms (Sagemaker)
Track record of measuring and optimizing business outcomes of machine learning models in live production systems
Excellent written and verbal communication skills with ability to present complex technical concepts to non-technical stakeholders
Experience with regulatory frameworks and model risk management practices in financial services
Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field
Passion for applying data science to improve financial products and enhance customer financial outcomes
What's in it for you?
Opportunity to shape the future of fintech and financially empower a generation of Canadians
Competitive compensation & equity
Fantastic, Deeply Engaged Team (check out our engagement scores here)
Generous vacation + Wellness days + Flex Days + holiday closure
Remote-first environment + coworking support + yearly all hands retreat
Access to coaching & growth programs
Parental top-up & leave policies
Comprehensive health benefits
Power-up budgets for books, home office setup, phone & internet, AI tools, and professional development
KOHO is for builders.
If you're energized by challenge, motivated by mission, and want to be part of a team that punches above its weight - we want to hear from you.
The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact and the People and Culture team will be happy to help.
AI Disclosure: KOHO uses artificial intelligence (AI) in certain aspects of its recruitment process to screen, assess, or select applicants. For any questions or concerns, please contact us at
Note: this posting is for an existing vacancy that we are seeking to fill.
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