Loan Pricing Analyst

1 week ago


Toronto, Ontario, Canada Fig Full time

About Fig

Fig is a new Fintech start-up revolutionizing the lending industry in Canada. Named Consumer Lender of the Year in 2024, Fig is dedicated to simplifying the borrowing process to make it more efficient and accessible for Canadians.

Supported by the reputable Fairstone Bank, Fig is in a unique position to blend the benefits of extensive lending experience with the agility of a start-up. This combination allows the company to effectively meet the credit needs of Canadians from various financial backgrounds.

The Role

We are seeking a highly motivated and detail-oriented Loan Pricing Analyst to join Fig's Finance & Analytics team. Reporting to the Head of Finance, this is an exciting opportunity for a graduate with a strong statistics background (ideally a Master's degree) and demonstrated experience in Python programming. You will apply advanced analytics to real-world lending challenges and contribute meaningfully to strategic business decisions across teams.

You will play a key role in shaping pricing strategies, driving funnel and performance analytics, and building the foundations for scalable, agentic analytics solutions. Your work will directly impact loan growth, customer acquisition, and long-term business profitability.

What you'll do
  • Optimize Loan Pricing: Develop and run pricing analyses and experiments across the portfolio to maximize loan volumes while meeting ROA targets.
  • Funnel Analytics: Conduct detailed funnel analytics to identify opportunities to improve conversion rates across channels and partners.
  • Vintage & Marketing Analytics: Analyze loan performance at the vintage level and connect insights with marketing analytics to determine lifetime value (LTV) of loans and applicants by vintage and channel.
  • Finance Analytics Support: Provide data-driven insights, dashboards, and models to support financial decision-making and performance monitoring.
  • Agentic Infrastructure: Help set up the infrastructure to leverage agentic (AI-driven) solutions at scale, enabling automation and experimentation across analytics.
  • Cross-Team Collaboration: Partner closely with internal and external stakeholders across Finance, Growth and Credit Risk to ensure insights drive business impact.
What you'll bring
  • Education: Master's degree (or strong Bachelor's with relevant experience) in Statistics, Economics, Data Science, Applied Mathematics, or related field.
  • AI Proficiency: Experience working with AI-first tools and approaches; ability to leverage AI solutions for analytics, automation, and experimentation. 
  • Strong knowledge of elasticity, econometrics, and statistical modeling.
  • Proficiency in Python (pandas, NumPy, scikit-learn, etc.) and experience with large datasets.
  • Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI, or Python libraries).
  • Analytical mindset with excellent problem-solving skills and attention to detail.
  • Ability to collaborate effectively with cross-functional teams.
  • Experience in financial services, lending, or marketing analytics is an asset but not required.
Why Fig?
  • Unique opportunity to join a company in its scaling phase and shape the future of lending in Canada.
  • Competitive compensation, bonus, and benefits.
  • Retirement savings program with employer matching.
  • Comprehensive medical, dental, and vision coverage, plus health and wellness spending accounts.
  • Generous vacation and parental leave top-up.
  • Continuing education stipend for professional development.

Our commitment to diversity, equity and inclusion

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.



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