Senior Credit Risk Analyst

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$150,500–$204,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k
This role $177k
$112k most similar roles pay here $214k

This role pays more than 63% of similar roles. Most pay $122,275–$202,000 — the shaded band above. At the midpoint, this role pays about $177k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 188 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 166 roles with salary data.

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At a glance

TL;DR · Senior Credit Risk Analyst

As a Senior Credit Risk Analyst - Fintech, you will join the QuickBooks Capital team to drive business growth through data-driven insights and cross-functional collaboration. You will be responsible for designing customer-centric credit products, building centralized datamarts, and creating comprehensive reporting suites tailored to monitoring needs. Your daily work involves translating complex requirements into scalable technical solutions, identifying growth opportunities across the customer lifecycle, and leveraging AI technologies to improve development flows and team efficiency. To succeed in this role, you must possess a degree in a quantitative field and proficiency in SQL (specifically HiveQL), Python with Pandas, and big data frameworks like Hive and Spark. You will also utilize BI tools such as Tableau or Qliksense to deliver actionable insights regarding business trends and performance metrics within the small business lending domain.

What you'll do

  • Design and implement customer-centric credit products and solutions using an end-to-end approach.
  • Create and maintain comprehensive reporting suites tailored to the monitoring needs of the credit business.
  • Build centralized datamarts to serve as a scalable foundation for growing reporting capabilities.
  • Utilize AI technologies to improve existing development flows and identify new AI-powered efficiency initiatives.
  • Analyze business trends and key performance metrics to provide actionable insights to stakeholders.
  • Conduct deep dives into data anomalies and communicate findings clearly to both technical and non-technical audiences.
  • Identify and execute growth opportunities across all customer touchpoints throughout the lifecycle.

What we're looking for

  • BS/MS in a quantitative field such as Statistics, Operations Research, Business/Finance, or Economics.
  • 4+ years of professional experience in an analytics-related role.
  • Experience in lending or fintech (preferred).
  • Proven track record of extracting actionable business insights from data using quantitative and qualitative approaches.
  • Experience in any major dialect of SQL.
  • Strong Python skills with experience in Pandas.
  • PySpark is a big plus (preferred).
  • Familiarity with big data technologies such as Hive, Spark, and related frameworks.
  • Experience building complex dashboards using common BI tools like Tableau or Qliksense.
  • Ability to explain complex technical issues to both technical and non-technical audiences.

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