Manager - Compliance

American Express•New York, NY

2d•$89,250 - $150,250•Hybrid

About The Position

The Fair Lending Quantitative Manager role is part of a centralized team responsible for administering a comprehensive Fair Lending regulatory compliance program for American Express. The Fair Lending Program Office (FLPO) is responsible for performing quantitative analysis, business process reviews, and other activities in to ensure American Express’ impartiality in lending in accordance with fair lending laws and regulations. The incumbent will play a critical role in ensuring that compliance risks are adequately identified, assessed, monitored, and controlled, and will be expected to build collaborative relationships within Compliance as well as with affiliate partners such as Credit and Fraud Risk, Marketing, and Product teams.

Requirements

Bachelor’s Degree or equivalent experience in statistics, mathematics, economics (or related field)
Strong experience with Python environment and libraries including experience in 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
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Nice To Haves

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
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

Responsibilities

Conducting 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 (marketing/solicitation, underwriting, line management, servicing, loss mitigation, and collections)
Collaborating with business partners to understand complex, technical systems, business processes, data structures, and AI/ML modeling methodologies to facilitate effective fair lending analysis
Work with affiliate partners to obtain data, including appropriate data scoping and executing quality control measures
Summarize in written form the results of statistical analysis
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 (such as credit risk rules, marketing rules, and model adjustments)
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.

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