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Predictive Modeller, Credit Risk

KOHO Financial

KOHO Financial

Canada
CAD 112k-149k / year
Posted on Aug 20, 2025

Location

KOHO (CAN)

Employment Type

Full time

Location Type

Remote

Department

Risk & Compliance

Compensation

  • Budgeted range for this job CA$112K – CA$149K

At KOHO, we are dedicated to providing pay transparency to all candidates. Compensation at KOHO is determined through various factors including but not limited to: comparable salary market data within Canada, technical skill assessment, a holistic view of previous work history, and internal pay equity with other KOHO team members.

About KOHO

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 Role

We'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 Be Doing:

  • Designing and developing statistical and machine learning models for credit risk parameters (PD, EAD, LGD) across lending products including credit card, line of credit, overdraft, BNPL, etc.

  • Executing full model development lifecycle from data exploration and feature engineering through validation and deployment

  • Implementing advanced modelling techniques including regression, classification, ensemble methods, and deep learning algorithms

  • Conducting model performance monitoring, champion-challenger testing, and regulatory compliance validation

  • Collaborating with Risk Management, Credit, and Product teams to translate business requirements into technical specifications

  • Creating automated dashboards, reports, and ad-hoc analyses to support strategic business decision-making

  • Documenting model methodology, results, and insights

  • Leading model refresh initiatives and back-testing procedures to maintain predictive accuracy and performance

Who You Are:

  • You have 5+ years of experience in predictive modelling with demonstrated collaboration across data science, engineering, and product teams

  • You have proven experience developing credit risk models (PD, EAD, LGD) for consumer lending products including credit card, line of credit, overdraft, BNPL, etc.

  • You are an expert in Python and SQL with hands-on experience in feature engineering, model development, validation, and performance analysis

  • You have strong knowledge of statistical modelling techniques, machine learning algorithms, and model deployment in production environments

  • You have experience with cloud platforms (AWS, GCP, Azure) and integrating ML models into SaaS infrastructure and APIs

  • You have a track record of measuring and optimizing business outcomes of machine learning models in live production systems

  • You have excellent written and verbal communication skills with the ability to present complex technical concepts to non-technical stakeholders

  • You have experience with regulatory frameworks and model risk management practices in financial services

  • You hold a Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field

  • You have a 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 peopleaccessibility@koho.ca 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 talent@koho.ca.

Note: this posting is for an existing vacancy that we are seeking to fill.

#LI-Remote

Compensation Range: CA$112K - CA$149K