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Forward Financing

Merchant cash advances for small businesses

Lead Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in CanadaRemote

About the Job

Requirements

  • At least 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 building and deploying credit risk models, especially underwriting models, in the fintech, lending, or financial services industry is highly preferred.
  • Experience with real-time models, decisioning engines, and production-grade machine learning pipelines is preferred.
  • Expert proficiency in Python, SQL, and Git.
  • Experience with workflow orchestration tools such as Metaflow is preferred.
  • Experience deploying and managing models within a cloud platform such as AWS or SageMaker.
  • A strong foundation in statistics and machine learning, and knowledge of experimental design.
  • A bachelor's degree in Financial or Applied Mathematics, Operations Research, Economics, and/or Statistics is required.
  • A master's degree or PhD is a plus.

Responsibilities

  • Design, develop, and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases that drive better data-driven decisions.
  • Lead end-to-end delivery of data science initiatives from problem framing and model design through deployment, monitoring, and ongoing maintenance.
  • Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, Underwriting, Sales, and Collections to integrate models into applications and proactively identify and solve problems in critical business areas.
  • Define and set standards for model development, code quality, and documentation, and guide technical design decisions across the team.
  • Act as a technical mentor to team members, fostering continuous learning and rigorous analytical standards.
  • Communicate complex technical concepts and business implications to technical and non-technical stakeholders.
  • Build and maintain production machine learning pipelines and monitoring systems to ensure models are reliable, scalable, and continuously improving.

Desired Qualifications

  • Experience with cloud data warehouses such as Snowflake or Databricks, Arize, Metaflow, SageMaker, decision engines such as Taktile, and feature stores such as Tecton.
  • Excellent project management and communication skills.
  • Strong critical thinking and problem-solving ability.

About the Company

Forward Financing

Merchant cash advances for small businesses

Forward Financing provides fast, flexible funding to small businesses in the United States through non-bank lending. Its main product, a merchant cash advance, gives a lump sum in exchange for a percentage of future sales, enabling approvals often within 24 hours. It differentiates itself by using cash flow rather than credit history to assess eligibility, emphasizing speed, flexible repayment tied to sales, and regulatory compliance. Its goal is to expand access to capital for small businesses by offering quick, compliant funding through the alternative lending space.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$1.1B
Headquarters
Boston, MA
Founded
2012

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