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Fair Lending Quantitative Jobs (NOW HIRING)

Ensure adherence to all fair lending, AML/BSA, and consumer protection regulations, including CIP ... Strong analytical and quantitative skills, including the ability to evaluate ratios, percentages ...

Ensure adherence to all fair lending, AML/BSA, and consumer protection regulations, including CIP ... Strong analytical and quantitative skills, including the ability to evaluate ratios, percentages ...

Ensure adherence to all fair lending, AML/BSA, and consumer protection regulations, including CIP ... Strong analytical and quantitative skills, including the ability to evaluate ratios, percentages ...

Ensure adherence to all fair lending, AML/BSA, and consumer protection regulations, including CIP ... Strong analytical and quantitative skills, including the ability to evaluate ratios, percentages ...

Ensure adherence to all fair lending, AML/BSA, and consumer protection regulations, including CIP ... Strong analytical and quantitative skills, including the ability to evaluate ratios, percentages ...

Ensure adherence to all fair lending, AML/BSA, and consumer protection regulations, including CIP ... Strong analytical and quantitative skills, including the ability to evaluate ratios, percentages ...

Ensure adherence to all fair lending, AML/BSA, and consumer protection regulations, including CIP ... Strong analytical and quantitative skills, including the ability to evaluate ratios, percentages ...

Ensure adherence to all fair lending, AML/BSA, and consumer protection regulations, including CIP ... Strong analytical and quantitative skills, including the ability to evaluate ratios, percentages ...

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Fair Lending Quantitative information

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$31K

$90.6K

$146K

How much do fair lending quantitative jobs pay per year?

As of Sep 10, 2026, the average yearly pay for fair lending quantitative in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a fair lending quantitative?

A Fair Lending Quantitative is a professional who uses statistical analysis and quantitative methods to ensure that lending practices at financial institutions are fair and comply with anti-discrimination laws. They analyze lending data for patterns of bias or disparate impact, develop models to test for fairness, and help institutions meet regulatory requirements such as the Equal Credit Opportunity Act (ECOA) and the Fair Housing Act (FHA). Their work helps banks and lenders identify and correct potential discriminatory practices in credit decisions and pricing.

What are some common challenges faced by fair lending quantitative professionals when analyzing lending data?

Fair Lending Quantitative professionals often encounter challenges related to ensuring data accuracy and completeness, as lending datasets can be highly complex and may contain inconsistencies. Another frequent challenge is developing statistical models that can accurately detect disparate impact or discrimination while accounting for legitimate business factors. Additionally, balancing regulatory compliance requirements with business objectives, and effectively communicating technical findings to non-technical stakeholders, are important aspects of the role.

What are the key skills and qualifications needed to thrive as a fair lending quantitative analyst, and why are they important?

To thrive as a Fair Lending Quantitative Analyst, you need strong statistical analysis skills, a background in economics or finance, and experience with fair lending laws and regulations. Proficiency with tools like SAS, R, Python, and data visualization platforms, as well as knowledge of compliance management systems, is typically required. Exceptional attention to detail, analytical thinking, and effective communication are crucial soft skills for interpreting data and presenting findings to diverse stakeholders. These abilities ensure accurate risk assessment, regulatory compliance, and support for fair lending practices within financial institutions.

What are popular job titles related to Fair Lending Quantitative jobs?

For Fair Lending Quantitative jobs, the most frequently searched job titles are:

Infographic showing various Fair Lending Quantitative job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Indirect Lending Quantitative Risk Analyst Lead

Buffalo, NY • On-site

M&T Bank
Finance and Insurance • 10K+ employees

$103K - $171K/yr

Full-time

Re-posted 20 days ago


M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 188 frontline employees who took The Breakroom Quiz


Job description

Overview:
Perform advanced data and credit risk analysis to identify and quantify risks in M&T's $19B Indirect lending portfolios. Support unit (dept.) in data analysis, portfolio deep dives, and loss estimation activities. Provide oversight and credit risk expertise during effective challenge efforts.
Primary Responsibilities:
  • Lead Retail Quantitative Analysts in performing portfolio deep dives, asset quality monitoring, and interpreting data with a risk management focus with an understanding of business strategy.
  • Mentor and supervise the work of junior team members and assist in the development of their analytics acumen in areas such as segmentation analysis, logistic regression, decision trees and data visualization.
  • Demonstrated working knowledge of Credit Risk databases to provide data and analytical support to Senior Management.
  • Perform data manipulation and analysis using SQL, SAS and Microsoft Excel and present results and recommendations to Credit Risk Management.
  • Track portfolio performance and risk strategy results. Incorporate observations and data in to existing models to improve predictive results.
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
  • Complete other related duties as assigned.

Education and Experience Required:
Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline,
OR in lieu of degree,
A combined minimum of 9 years higher education and/or work experience to include a minimum of 5 years relevant experience.
-OR-
Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 3 years relevant experience,
OR in lieu of degree,
A combined minimum of 9 years higher education and/or work experience to include a minimum of 3 years relevant experience
Minimum of 5 years relevant experience
Banking or Financial Services experience.
Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages.
Advanced Knowledge of SQL and Microsoft Office.
Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
Demonstrated ability to communicate complex concepts.
Demonstrated ability to manipulate and analyze data across large databases.
Education and Experience Preferred:
Credit Analysis experience
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $103,000.00 - $171,600.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America

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