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About the Role

The Fair Lending Quantitative Manager administers a comprehensive Fair Lending regulatory compliance program for American Express, ensuring impartiality in lending in accordance with fair lending laws and regulations. This role is critical in identifying, assessing, monitoring, and controlling compliance risks, and requires collaboration with internal teams and external partners.

Responsibilities

Conduct fair lending statistical testing in Python (including t-tests, linear and logistic regression models) to analyze fair lending risk within the end-to-end credit lifecycle.
Collaborate with business partners to understand complex systems, processes, data structures, and AI/ML modeling methodologies for effective fair lending analysis.
Work with affiliate partners to obtain data, including appropriate data scoping and executing quality control measures.
Summarize the results of statistical analysis in written form.
Present results of statistical analysis to key partners and leaders in Compliance, the Bank, and Affiliate Management.
Review new or revised business initiatives to provide fair lending guidance.
Support the ongoing development and activities of the Fair Lending team and perform other duties as assigned, including ad hoc support of regulatory exams and internal audits.

Requirements

Bachelor’s Degree or equivalent experience in statistics, mathematics, economics (or related field).
Strong experience with Python environment and libraries, including manipulating large datasets and samples.
Technical experience with analytic coding techniques, visualization tools, and creating reporting dashboards.
Aptitude for working with data, interpreting results, business intelligence, and analytic best practices.
Master’s Degree or equivalent experience in statistics, mathematics, economics (or related field).
Fair lending analytical experience is preferred, but not required.
Working knowledge of statistical/data mining analysis tools, relationship databases and programming languages within the Big data environment.
Experience with visualization tools like Tableau and Power BI.
Excellent MS Word, Excel, and PowerPoint skills.
Ability to break-down a complex problem into components, solve them using data analysis, process knowledge and risk/control knowledge, and communicate data analysis results with transparency and integrity.
Strong written and verbal communication skills and ability to lead and manage multiple projects.
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Skills

Python
Statistical testing
T-tests
Linear regression
Logistic regression
Data analysis
Data manipulation
Data visualization
Reporting dashboards
Business intelligence
Analytic best practices
Statistical analysis tools
Data mining analysis tools
Relationship databases
Big data environment
Tableau
Power BI
MS Word
MS Excel
MS PowerPoint
Problem-solving
Risk management
Control knowledge
Communication skills

Location

United States

Work Type

Hybrid
Onsite
Virtual

Experience Level

Manager

Education Level

Bachelor's Degree
Master's Degree

Benefits

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

About the Company

At American Express, our culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues.
From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Equal Opportunity

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
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