Senior Credit Analytics Lead – Remote in Toronto

Senior Credit Analytics Lead – Remote in Toronto

Toronto Full-Time 99000 - 121000 $ / year (est.) Remote
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At a Glance

  • Tasks: Lead high-impact credit analytics and support strategic financial decisions.
  • Company: Upstart, a digital-first AI lending marketplace with a focus on innovation.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team and enhance your career in a fast-paced environment.
  • Why this job: Make a real impact by translating complex credit dynamics into actionable insights.
  • Qualifications: Experience in credit analytics and strong collaboration skills.

The predicted salary is between 99000 - 121000 $ per year.

Upstart is a digital-first AI lending marketplace and is seeking a Staff Credit Analyst to contribute to high-impact credit analytics, supporting portfolio strategy, financial planning, and funding decisions. You will collaborate with Machine Learning, Finance, Product, Engineering, and Capital teams to translate complex credit dynamics into actionable insights and scalable analytical solutions. This role offers exposure to credit forecasting and valuation, portfolio analytics, and risk capital.

Senior Credit Analytics Lead – Remote in Toronto employer: Upstart

Upstart is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to engage with diverse teams across Machine Learning, Finance, and Engineering. With a focus on employee growth, Upstart offers ample opportunities for professional development in the rapidly evolving field of AI lending, all while enjoying the flexibility of a remote work environment. Join us to make a meaningful impact in credit analytics and be part of a forward-thinking company that values your contributions.

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Contact Details:

Upstart Recruitment Team

We think you need these skills to ace Senior Credit Analytics Lead – Remote in Toronto

Credit Analytics
Portfolio Strategy
Financial Planning
Funding Decisions
Collaboration
Machine Learning
Data Translation