Staff Analyst

Upstart

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Canada
Salary: $157,000–$217,500 / yr
Posted: 78 days ago
Freshness: Confirmed live yesterday
Closes: Jan 22, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k

This role $187k

$133k $240k

below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $157,534–$214,500 — the blue band above. At the midpoint, this role pays about $187k versus about $186k 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 54 open roles on FindRole.

Listed pay typically runs $166,900–$230,900 across 53 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR · Staff Analyst

Role Posting Log in to save

The Staff Analyst joins the Personal Loans Underwriting and Credit Analytics team to own the monitoring and reporting of model and credit performance for Personal Loans. This role involves providing regular visibility to senior leadership, identifying performance trends, and diagnosing unexpected outcomes to recommend actionable treatments. The successful candidate will perform rigorous statistical analyses to evaluate past experiments and natural experiments while building and maintaining workflows to automate and scale standard reporting. Key requirements include a Master’s degree in a quantitative field, 6+ years of experience in analytics or data science, and proficiency in Python and SQL. The role addresses the technical challenge of monitoring and improving core underwriting models that determine loan approvals and interest rates within a lending marketplace.

Skills

Python SQL Statistics Mathematics Economics Operations Research Physics Data Science Credit Analytics

What you'll do

Own credit and performance monitoring for the Personal Loans product.
Identify performance trends and investigate root causes to recommend targeted treatments.
Perform rigorous statistical analyses to evaluate past experiments and natural experiments.
Build and maintain workflows that automate and scale standard reporting.
Provide regular visibility to senior leadership regarding model and credit performance.
Diagnose unexpected outcomes and proactively monitor portfolio performance.
Articulate complex analytical concepts clearly to diverse audiences.

What we're looking for

Master’s degree in a quantitative field such as Statistics, Mathematics, Economics, Finance, Operations Research, or Physics.
6+ years of experience in analytics, data science, or a related quantitative field.
Proficiency in Python and SQL.
Strong analytical and first-principles thinking to tackle complex and ambiguous problems.
Strong communication, presentation, and collaboration skills to articulate complex analytical concepts.
PhD in a quantitative field (preferred).
Experience and familiarity with finance, especially as it relates to lending (preferred).
Ability to work in the U.S. or Canada (excluding Quebec).

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