Conduct statistical analyses and bias testing to review business models, including both traditional and machine learning / artificial intelligence models (ML/ AI), for fair lending compliance Build data-driven algorithms to mitigate potential disparate impact of models by working alongside model developers, business strategy owners & Legal to develop less discriminatory alternative models Prepare presentations & reports to explain statistical results in both non-technical and technical formats t... more details
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.
As a Fair Lending Quant Modeling Analyst, you will perform statistical modeling and analyses to detect & mitigate bias in line-of-business models. In this high visibility role, you will also participate in bias testing-related research projects to support & enhance the bank’s fair lending compliance program.
Job Responsibilities
Conduct statistical analyses and bias testing to review business models, including both traditional and machine learning / artificial intelligence models (ML/AI), for fair lending compliance
Build data-driven algorithms to mitigate potential disparate impact of models by working alongside model developers, business strategy owners & Legal to develop less discriminatory alternative models
Prepare presentations & reports to explain statistical results in both non-technical and technical formats to various stakeholders such as senior management, Legal, Model developers, Model Governance etc.
Perform research & development to keep the fair lending compliance program aligned with industry and regulatory standards
Create model documentation; work with Control, Audit and Model Governance teams to ensure adequacy of processes, statistical models and model reviews
Support team in maintaining relevant policies & procedures and representing fair lending in regulatory exams, audits and other areas related to internal governance
Perform other related duties as assigned
Required qualifications, capabilities, and skills
Bachelor degree required in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering) with 2+ years of relevant work experience, or Masters degree in a quantitative field with 1+ years of relevant work experience
Entrepreneurial spirit, strong attention to detail, ability to take the lead on projects, in depth interest in solving complex business problems with data and passion for spreading a culture of change towards data-driven decision making
Proficiency in Python, shell scripting, cloud computing platforms and tools (e.g., AWS, Spark) and database systems (e.g., Hadoop, Teradata, Hive)
Experience in developing, implementing evaluating linear / logistic regression and machine learning / artificial intelligence models
Experience working or consulting for a bank, a consumer financial product company such as a non-depository mortgage lender or Fintech, a banking regulator (e.g., OCC, CFPB) or other similar government regulatory or enforcement agencies with knowledge of how consumer financial products such as mortgage and auto loans are underwritten and priced
Strong organization, prioritization, critical thinking and analytical skills; ability to work in a fast-paced environment and manage multiple projects towards completion with focus on quality
Excellent communication skills both verbal and written; ability to communicate technical matters in a non-technical way & clearly present complex and sensitive issues
Preferred qualifications, capabilities, and skills
Experience in SAS
Experience with bias detection tools or research of fairness
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