Data Science Teaching Assistant Jobs in Toronto, ON

Fig is an award-winning, high-growth Canadian FinTech modernizing the world of consumer credit. We provide simple, accessible and fully digital personal loans, removing the complexity and delays of traditional lending to better serve Canadians.

Since launching in 2023, Fig has quickly built a strong reputation for innovation and customer trust. We have been named Consumer Lender of the Year by the Canadian Lenders Association and FinTech Startup of the Year by the FinTech Breakthrough Awards, and we are consistently recognized among Canada's Best Workplaces. Our commitment to customers is reflected in our 4.8 out of 5 Trustpilot rating.

Backed by Fairstone Bank of Canada and Ontario Teachers' Pension Plan, Fig combines deep lending expertise with the agility of a startup. This foundation allows us to effectively meet the evolving credit needs of Canadians across a wide range of financial backgrounds. 

We are looking for a hands-on, data-obsessed Data Science Manager, Risk to build and operationalize the models, data pipelines, and analytical frameworks that power our lending decisions. Reporting to the Director of Credit Risk, you will play a key role in advancing our credit risk capabilities through machine learning, data engineering, model governance, and data-driven experimentation. While this role does not include people management responsibilities in the short term, you will provide technical leadership by driving cross-functional initiatives, mentoring junior analysts, and championing best practices in data science and risk modeling.

You'll join an experienced team focused on Getting Stuff Done (#GSD), where curiosity, scientific rigor, and continuous innovation drive every decision. You'll work across the full model lifecycle from developing and deploying models to monitoring, governing, and continuously improving their performance. You should be comfortable navigating ambiguity, solving complex analytical problems, and translating insights into scalable, production-ready solutions.

This is an exciting opportunity to work across multiple data science disciplines, including credit risk model development, alternative labeling strategies, reject inference, model validation and quality assurance, feature engineering, model monitoring, production decisioning, and credit risk data engineering. You'll design robust data pipelines, improve model performance and governance, automate analytical workflows, and partner closely with Credit Strategy, Product, Finance, Growth and Engineering to deliver scalable, data-driven lending solutions. This is a newly created role, which means you'll have the opportunity to help shape the mandate, build core processes, and make a visible impact as Fig continues to grow.

Culture matters deeply to us. You'll have the support of experienced colleagues across the organization who are passionate about solving challenging problems together. We're looking for someone who combines strong technical expertise with curiosity, collaborates effectively across teams, and thrives in an environment that values transparency, accountability, and continuous improvement.

• Develop Next-Generation Credit Models: Build, enhance, and deploy machine learning models for underwriting, reject inference, alternative labeling, and other credit risk applications.

• Drive Model Governance & Quality: Partner with model validation to ensure robust model governance through comprehensive documentation, performance monitoring, stability analysis, diagnostics, and ongoing model enhancements.

• Advance Credit Strategy: Partner with the Credit Risk team to evaluate underwriting policies, optimize risk segmentation, and translate model insights into data-driven credit strategies.

• Enable Scalable Credit Analytics: Develop analytical datasets, reusable feature frameworks, and scalable workflows that accelerate model development, portfolio monitoring, and strategic decision-making.

• Drive Statistical Experimentation: Design and evaluate statistically rigorous experiments to assess new models, features, and credit strategies, using data to quantify business impact and optimize decision-making.

• Productionize Decisioning: Translate analytical solutions into scalable production workflows, partnering with Engineering to automate credit decisioning and improve operational efficiency.

• Build AI-Powered Solutions: Develop and deploy AI-powered solutions across credit risk and fraud to enhance decision-making, strengthen fraud detection, and improve operational efficiency.

• Collaborate Across Teams: Partner closely with Credit Strategy, Product, Growth, Finance, Engineering, and Data teams to deliver high-quality, data-driven solutions that balance portfolio growth, risk, and customer experience.

• Subject Matter Experience: 4 or more years of experience in Credit Risk management, modeling and/or related data analysis in a financial services, FinTech, lending and/or technology company.

• Technical Mastery: Strong proficiency in Python and SQL is required.

• Analytical Depth: Working knowledge of regression analysis, decision trees, loss forecasting, and statistical design of experiments.

• Exceptional Communication Skills: The ability to translate complex data into clear, professional narratives for Senior Management.

• Startup DNA: You thrive in fast-paced environments with limited structure and have a shared sense of purpose to "Get Stuff Done" (#GSD).

• Make Your Mark: This is a rare chance to help directly steward a high-impact FinTech in Canada at an exciting stage of its growth and maturity.

• The Culture: Work in a team that values impact, accountability, curiosity, and building strong, collaborative relationships.

• Hybrid Work Environment: Balance of remote and in-office (currently one day a week in Toronto), without sacrificing the high-energy collaboration.

• Competitive compensation ($95,000 - $120,000 base + bonus).

• Retirement savings program with employer matching.

• Comprehensive medical, dental, and vision group insurance, as well as health and wellness spending accounts.

• Generous time off to help you recharge.

• Parental top-up to support your growing family.

• Continuing education stipend to support your professional development.

We are an equal opportunity employer and are committed to diversity at our company. We do not discriminate on the basis of race, religion, culture, sexual orientation, gender identity and physical ability.

Diversity of backgrounds, perspectives, and experience is fundamental to our business. We believe in fostering an environment where team members of all backgrounds can feel comfortable bringing their whole selves to work every day. We aim to ensure all of our employees work in an environment that makes them feel valued, heard, and supported while they strive towards career pursuits and their personal and professional growth.

We are committed to providing accommodations for all candidates that require them and in all aspects of the recruitment, selection, and/or assessment process. If you are selected to participate in any part of the selection and/or assessment process, please inform us of any accommodation(s) that you may require.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We're flattered that you'd like to join our team, but only applicants selected to proceed in the hiring process will be contacted.