Analyst, Data Analytics- Retail Financing (Fixed Term Contract)

Who we are: Fairstone Bank and its family of brands are united in delivering innovative, accessible and reliable financial solutions that enable Canadians to reach their goals. Over the years, our brand family has grown. In 2024, Home Trust Company, Home Bank and Oaken Financial became part of the Fairstone Bank family of brands, alongside Fairstone, EdenPark and Fig. Together, we are the leading alternative lending bank in Canada. With a diverse suite of products—residential and commercial mortgages, consumer deposits and GICs, credit cards, retail and automobile financing, personal loans and digital lending—we offer financial solutions tailored to all Canadians, including newcomers, small-business owners, smart investors and savvy consumers. About the role: We are seeking a data-driven Reporting Analyst to drive product performance through rigorous experimentation, advanced analytics, predictive modeling, and scalable reporting. This role will focus on automation of key performance metrics, own the design and analysis of A/B tests, leverage A.I. to develop predictive models to anticipate user behavior and outcomes. Translate insights into actionable business insights and strategy. What you’ll do: Develop/deploy interactive automated dashboards (e.g., QuickSight, Power BI - Tableau and asset) Enable self-serve analytics through scalable data models and clear metric definitions Conduct sensitivity analyses to assess portfolio impact and mitigate potential losses. Support product strategy with data-driven insights and recommendations Build scenario models (ex.: customer lifetime value) to evaluate growth strategies under varying risk conditions. Analyze user behavior, funnels, cohorts, and feature adoption to identify opportunities Translate business questions into analytical and statistical frameworks Perform root cause analysis on product performance issues Identifying growth initiatives using customer acquisition, credit score data, and approval strategies Design, execute, and analyze A/B and multivariate tests across product features and user journeys Partner with Product, Marketing, and Data Engineering, to prioritize and implement test roadmaps Apply statistical and machine learning techniques to optimize credit decisioning and product performance. Partner with Risk, Product, and Finance teams to align growth initiatives with credit policies and compliance requirements. Present insights and recommendations to senior leadership in a clear, actionable manner. What we’re looking for: 3+ years in growth analytics, credit risk, or financial services analytics. Advanced proficiency in SQL, Python/R, and data visualization tools (Alteryx, Power BI - Tableau and asset) Experience building and deploying A.I. driven models into production environments Experience using credit products and risk frameworks in decision-making. Background in machine learning models, optimization techniques and scenario modeling. Strategic thinker with strong business and risk acumen. Excellent communication and stakeholder management skills What you’ll love about working here: Award-Winning Culture: We’re proud to be recognized as a Great Place to Work Canada 2025 and one of Montreal’s Top Employers 2025 by Canada’s Top 100 Employers. Work-Life Balance: Enjoy flexibility with our hybrid work model designed to support your lifestyle. On-Site Fitness: Gym access at our London and Montreal offices. What you can expect - pay & process: Expected base salary range/hourly rate is $60,000 - 70,000. This posting is for an existing temporary vacancy within our organization. Artificial intelligence may be used in parts of the recruitment process. All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire. If what you read excites you, we’d like to hear from you! Please submit your application and we’ll contact you if you become selected for first stages of the interview process. Learn more: https://www.fairstone.ca/en/about/canadian-lender Follow us on LinkedIn: https://www.linkedin.com/company/fairstone/mycompany/ If you have a preferred language for communication, please kindly inform us whether you prefer French or English on your application. Fairstone is an equal opportunity employer. Accordingly, we will make reasonable accommodations to respond to the needs of people with disabilities. Individuals who view themselves as Aboriginals, members of visible minorities, and disabled are encouraged to apply in confidence. Time Type: Full time Job Type: Temporary (Fixed Term)

The analyst will drive product performance through advanced analytics, predictive modeling, and the design of A/B tests. They are responsible for developing automated dashboards and providing actionable insights to support product strategy and growth initiatives.

Candidates must have at least 3 years of experience in growth analytics, credit risk, or financial services. Proficiency in SQL, Python/R, and data visualization tools is required, along with experience in deploying AI-driven models.

• Hybrid work model • On-site fitness • Gym access

• Data visualizationPreferred
• Power BIPreferred
• SQLPreferred
• TableauPreferred
• Machine learningPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• R
• Alteryx
• Power BI
• Tableau
• Predictive modeling
• A/B testing
• Data visualization
• Machine learning
• Scenario modeling
• Credit risk
• Growth analytics
• Statistical analysis
• Dashboard development
• Credit Risk
• Credit Policies
• Alternative Lending
• Advanced Analytics
• User Research
• Artificial Intelligence
• Automation
• Deposit Accounts
• Behavioral Analytics
• Dashboard
• Decision Making
• Customer Acquisition Management
• Commercial Mortgage
• Communication
• Data Engineering
• Data Modeling
• Data Visualization
• English Language
• Finance
• Financial Services
• French Language
• Sales Funnel
• R (Programming Language)
• Leadership
• Growth Strategies
• Scalability
• Innovation
• Python (Programming Language)
• Loans
• Machine Learning
• Performance Metric
• Predictive Modeling
• Product Marketing
• SQL (Programming Language)
• Stakeholder Management

• Data & Analytics
• Finance & Accounting
• Technology
• Retail
• IT Data Analytics Analyst
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Minimum experience

3+ years

Posting language

English

Working hours

40 hours per week