Staff Analyst

Upstart

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Canada
Salary: $157,000–$217,500 / yr
Posted: 31 days ago
Freshness: Confirmed live yesterday
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

Role Posting Log in to save

Staff Analyst As a Staff Analyst on the Personal Loans Underwriting and Credit Analytics team, you will own the monitoring and reporting of model and credit performance for personal loans. You will provide visibility to senior leadership while performing rigorous statistical analyses to evaluate past experiments and natural experiments. Your daily work involves identifying emerging trends, diagnosing unexpected outcomes, and recommending actionable treatments to improve core underwriting models. To succeed in this role, you must possess a master’s degree or PhD in a quantitative field and have at least six years of experience in analytics or data science. You will utilize Python and SQL to build and maintain automated workflows for scalable reporting. This role addresses the critical business problem of determining loan approvals and rates within a complex lending environment.

Skills

Python SQL Statistics Mathematics Economics Finance Operations Research Physics Data Science Analytics Reporting

What you'll do

Own credit and performance monitoring for the Personal Loans product.
Provide regular reporting on model and credit performance to senior leadership.
Identify emerging trends and investigate root causes of unexpected outcomes.
Recommend actionable treatments based on deep analytical investigations.
Perform rigorous statistical analyses to evaluate past experiments and natural experiments.
Build and maintain automated workflows to scale standard reporting processes.
Communicate 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 solve complex and ambiguous problems.
Strong communication, presentation, and collaboration skills to articulate complex concepts to diverse audiences.
PhD in a quantitative field (preferred).
Experience and familiarity with finance, especially as it relates to lending (preferred).

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