Job Overview
Location
Remote - Alberta, Canada
Job Type
Full-time
Category
Data Science
Date Posted
June 26, 2026
Full Job Description
đź“‹ Description
- • Design, develop, and deploy advanced statistical and machine learning models for credit risk, pricing, collections, and fraud detection to drive data-driven business decisions across Forward Financing.
- • Lead end-to-end delivery of data science initiatives from problem framing and model design through deployment, monitoring, and ongoing maintenance of production models.
- • Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, Underwriting, Sales, and Collections to integrate models into operational applications and identify solutions for critical business challenges.
- • Define and enforce standards for model development, code quality, documentation, and technical architecture across the data science team.
- • Act as a technical mentor to junior data scientists, fostering a culture of continuous learning, rigorous analytical practices, and high-quality model delivery.
- • Communicate complex technical findings, model implications, and business outcomes clearly to both technical and non-technical stakeholders.
- • Build and maintain production-grade machine learning pipelines and monitoring systems to ensure model reliability, scalability, and continuous performance improvement.
- • Apply advanced techniques including generalized linear models, gradient boosting, and deep learning to solve high-impact financial use cases in a fintech lending environment.
- • Collaborate with engineering teams to operationalize models within decisioning engines and real-time systems, ensuring seamless integration into core business workflows.
- • Stay current with industry best practices in model governance, explainability, and MLOps to uphold ethical and compliant AI standards in financial services.
- • Contribute to the evolution of the data science function by recommending tools, frameworks, and processes that enhance team efficiency and model impact.
- • Ensure all models are developed with a strong foundation in statistics, experimental design, and causal inference to support robust business decision-making.
- • Support the company’s mission by enabling faster, fairer access to capital for underserved small businesses through scalable and accurate analytical solutions.
🎯 Requirements
- • 8+ years of hands-on model development and deployment experience using advanced statistical and machine learning techniques such as generalized linear models, gradient boosting, and deep learning
- • Deep experience in building and deploying credit risk models, especially underwriting models, in the fintech, lending, or financial services industry
- • Expert in Python, SQL, and Git
- • Experience deploying and managing models within a cloud platform (AWS, Sagemaker)
- • Strong foundation in statistics and machine learning, and knowledge of experimental design
- • Excellent project management and communication skills
🏖️ Benefits
- • Annual salary range of $174,000 - $220,000 CAD
- • Potential for an additional 12% annual bonus
- • Comprehensive total rewards package including medical, dental, and vision coverage
- • RRSP match
- • Flexible time-off policy and paid parental leave
- • Wellness reimbursement and annual professional development budget
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Forward Financing, LLC
Forward Financing, founded in 2012 and headquartered in Boston, Massachusetts, provides working capital to small and medium-sized businesses across the United States through merchant cash advances and short-term loans. The company uses proprietary technology and data analytics to offer fast approvals and funding, typically within one business day, without requiring collateral or perfect credit. Serving over 35,000 businesses, Forward Financing focuses on industries such as retail, restaurants, and services. It emphasizes transparent terms and dedicated customer support to help clients manage cash flow, purchase inventory, expand operations, or address unexpected expenses.
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