Senior Staff Credit Risk Analyst

Intuit

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NYMountain View, CA
Posted: 57 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $179k

$123k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $133,900–$225,000.

Based on 239 similar postings.

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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 174 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.

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At a glance

TL;DR · Senior Staff Credit Risk Analyst

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The Senior Staff Credit Risk Analyst - Fintech joins the Consumer Group to support consumer lending initiatives and navigate complexities within fintech risk. This role involves developing credit risk strategies, policies, and frameworks to ensure compliance with internal and regulatory requirements while scaling banking portfolios. The analyst will mine massive transactional data using big data technology to design risk-adjusted policy proposals, perform granular portfolio analysis, and identify key performance drivers. Collaborating across product, marketing, and engineering teams, the individual will provide decision support and mentor other Risk Analysts. Technical expertise required includes Python, R, SAS, SQL, Tableau, QuickSight, and Databricks. The role addresses the challenge of balancing innovative consumer lending features with robust risk mitigation in a fintech environment, requiring deep domain knowledge in financial services to translate complex data into actionable business insights.

Skills

Python R SAS SQL Tableau QuickSight Databricks Big Data Product Management FinTech

What you'll do

Develop and implement credit risk strategies and policies to support growth in consumer lending and banking portfolios.
Establish a framework to ensure all lending activities comply with internal policies and regulatory requirements.
Mine large-scale transactional data using big data technology to design new risk-adjusted policy proposals.
Analyze portfolio performance at granular levels to identify trends and conduct root-cause analyses on key drivers.
Deploy risk mitigations to improve the customer experience and enable product feature expansion.
Optimize data collection and processing to provide clear visibility into the impact of new lending initiatives.
Identify and evaluate new vendors and data sources to create business cases for enhancing risk policies.
Mentor and coach Risk Analysts to promote advanced data techniques and improved outcomes in consumer lending.

What we're looking for

Undergraduate degree in Economics, Statistics, Engineering, or a related field required; an advanced degree is preferred.
10+ years of experience driving cross-team collaboration and business requirement clarity in the data and risk space.
Domain expertise in FinTech, Risk, and Financial services with a specific focus on Consumer Lending.
Demonstrated history of cross-functional leadership in large matrixed organizations to align stakeholders and launch product features.
Proficiency in analytics tools including Python, R, SAS, and SQL environments.
Experience working with BI tools such as Tableau, QuickSight, and Databricks.
Ability to tell compelling stories with data to both technical and non-technical audiences.
Experience managing large-scale data projects; product management experience is a significant plus.

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