Staff Analyst

Upstart

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$157,000–$217,500 / yr
Posted
2 days ago
Freshness
Confirmed live 2 days ago
Closes
Dec 8, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k
This role $187k
$121k most similar roles pay here $228k

This role pays more than 58% of similar roles. Most pay $130,942–$214,500 — the shaded band above. At the midpoint, this role pays about $187k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Upstart

Upstart is an AI lending platform that partners with banks and credit unions to expand access to affordable credit using non-traditional variables.

Upstart currently has 73 open roles on FindRole.

Listed pay typically runs $166,900–$230,450 across 72 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR · Staff Analyst

The Staff Analyst joins the Credit Analytics team to develop and maintain analytics for portfolio monitoring, forecasting, valuation, and decision-making. Working alongside Machine Learning, Finance, Product, Engineering, and Capital teams, this individual will translate complex credit dynamics into actionable insights and scalable solutions. Day-to-day responsibilities include supporting loss forecasting, scenario analysis, and risk capital analytics for funding strategies like securitizations and warehouse facilities. The role involves building data models, pipelines, dashboards, and automated reporting to provide reliable, self-serve insights while ensuring rigorous analytical validation and governance. To succeed, the candidate must possess strong SQL skills and proficiency in Python or R. This position addresses the core challenge of understanding and communicating credit performance within an AI-driven lending marketplace, specifically focusing on risk management, portfolio performance measurement, and complex financial reporting for various stakeholders.

What you'll do

  • Develop and maintain credit analytics for portfolio monitoring, forecasting, valuation, and decision-making.
  • Perform loss forecasting, scenario analysis, and measurement of portfolio performance.
  • Conduct risk capital analytics to support funding strategies like securitizations and warehouse facilities.
  • Translate complex portfolio trends into actionable recommendations for product, credit policy, and finance teams.
  • Build and improve data models, pipelines, dashboards, and automated reporting tools.
  • Establish standards for analytical validation, monitoring, documentation, and governance.
  • Communicate complex technical analyses clearly to both technical and non-technical stakeholders.

What we're looking for

  • 5+ years of experience in analytics, credit risk, quantitative finance, or a related field within fintech or financial services.
  • Experience with credit risk, loss forecasting, portfolio analytics, valuation, or related financial-performance frameworks.
  • Working knowledge of risk capital or structured finance concepts like securitizations and warehouse facilities.
  • Strong SQL skills and proficiency in at least one programming language such as Python or R.
  • Experience working with large datasets and developing repeatable, well-documented analyses.
  • Ability to translate complex analytical work into clear, actionable business insights for diverse stakeholders.
  • Strong written and verbal communication skills to collaborate across functional teams.
  • Experience partnering with Machine Learning/Data Science teams, building analytics infrastructure, or managing projects (preferred).

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