This position will play a key role in the Fair Lending Compliance Program by focusing on statistical modeling and analyses to detect and mitigate bias in line-of-business models, in addition to undertaking ad hoc related research projects as part of the Bank’s Fair and Responsible Banking Compliance Program. The successful candidate will bring experience in developing, understanding, and explaining advanced statistical models and concepts. This position will report directly to the Chief Fair Lending Officer and will require strategic and critical thinking, regulatory expertise and an understanding of consumer and small business financial services. The individual in this position will be expected to:

Job Summary and Responsibilities

• Conduct statistical analyses and bias testing to review business models for fair lending compliance, including traditional and machine learning models;
• Coordinate with model developers and business strategy owners to develop less discriminatory alternative models
• Prepare presentations and reports to explain statistical results in both non-technical as well as technical format and analytic insights to various stakeholders such as senior management, model developers, model governance etc.
• Conduct focused analytic research to advance GS Bank’s fair lending analytical skills and tools
• Provide statistical analytic support and modeling for fair lending investigations and business initiatives
• Present to senior leadership, including senior Legal, Compliance, GS Bank and Line of Business leadership
• Oversee team of statistical analysts responsible for conducting statistical analysis and bias testing
• Manage and implement methodologies used for statistical analyses across team of statistical analysts

Basic Qualifications

• 10+ years of relevant professional experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
• Strong computing skills, particularly statistical and high-performance computing in SAS, R, python or other statistical packages or software
• Experience in developing, implementing, and evaluating linear/logistic regression or machine learning models
• Entrepreneurial spirit, strong attention to details, able to take the lead on projects

Preferred Qualifications

• Outstanding oral, written, and interpersonal communication skills with experience presenting to senior management
• Ability to work independently and collaboratively on multiple tasks with effective time-management and influencing skills
• Prior experience overseeing statistical analysts and developing methodologies used for analytical testing
• Capable of working on cross-organizational projects and collaboratively partnering with other business functions
• Experience working or consulting for a bank, a consumer financial product company such as a non-depository lender or fintech, a banking regulator or other similar government regulatory or enforcement agencies
• PhD in a quantitative discipline (e.g., applied mathematics, statistics, economics, computer sciences, engineering, physics, finance, etc.)
• Conceptual and quantitative problem-solving skills and demonstrated ability to effectively think creatively
• Hands on experience with development and/or validation of fair lending, credit risk, or stress testing models
• Ability to drive decision making through a consensus building approach
• Knowledge of financial industry, model development practices and regulatory standards
• Knowledge of fair lending regulatory and modeling concepts