Staff Analyst, Investor Analytics

Upstart

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$157,000–$217,500 / yr
Posted
58 days ago
Freshness
Confirmed live today
Closes
Feb 3, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $149k
This role $187k
$101k $230k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $119,050–$178,475 — the blue band above. At the midpoint, this role pays about $187k versus about $149k 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 53 open roles on FindRole.

Listed pay typically runs $166,900–$230,900 across 52 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR · Staff Analyst, Investor Analytics

The Staff Analyst, Investor Analytics joins the Investor Analytics team to own the credit and performance narrative for the home equity line of credit business. You will build performance data, automated monitoring, and recurring reporting to provide institutional capital partners with insights into portfolio performance, including arrears, roll rates, and vintage loss curves. You will collaborate with Capital Markets, Lending Partnerships, Machine Learning, Product, and Finance teams to model and steer deal strategy. The role requires proficiency in Python, SQL, Databricks, Redshift, DBT, and business intelligence tools like Tableau, PowerBI, or Looker. You will also utilize agentic coding tools such as Claude Code and Codex to automate credit pipelines. This position solves the technical challenge of providing accurate, real-time credit intelligence for complex lending products.

What you'll do

  • Own the end-to-end credit and performance narrative for the HELOC business to communicate portfolio health to investors and internal leadership.
  • Develop financial models, data pipelines, and automated monitoring systems using agentic AI tools like Claude Code and Codex.
  • Produce recurring reports on yield, default, and prepayment rates to inform and steer deal strategies for capital partners.
  • Engage directly with institutional capital providers to showcase platform strength and develop tailored credit solutions.
  • Translate complex technical metrics regarding model calibration and feature importance into clear narratives for non-technical stakeholders.
  • Build and maintain automated credit pipelines to ensure reporting insights are delivered reliably and quickly.
  • Mentor junior team members while fostering a culture of excellence in data, credit, and analytics.

What we're looking for

  • Must have 5+ years of professional experience in financial services focusing on credit and debt.
  • Must possess a degree in Finance, Economics, Statistics, Engineering, Data Science, or another quantitative field.
  • Must have proficiency in Python and SQL to analyze and explain portfolio credit performance.
  • Must be able to work with large datasets and build data pipelines using Databricks, Redshift, DBT, and BI tools.
  • Experience in home equity, mortgage credit, or collateral valuation is preferred.
  • Experience building financial models for lending cash flows or book-level profitability is preferred.
  • Experience using agentic coding tools like Claude Code or Codex to automate reporting is preferred.
  • Ability to translate complex data into executive-ready narratives using Tableau, PowerBI, or Looker is preferred.

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