Compliance - Quant Modeling Senior Associate (Fair Lending) - Associate

Job Responsibilities

• Conduct statistical analyses and bias testing to review business models, including traditional models, machine learning / artificial intelligence models (ML/AI) as well as Gen AI based models for fair lending compliance
• Engage with extensive model documentation to thoroughly understand the models you review from a fair lending perspective, allowing you to develop a comprehensive understanding of complex models and their applications.
• 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 the 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 4+ years of relevant work experience, or Graduate degree in a quantitative field with 3+ 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, Git/Bitbucket, DataBricks) and database systems (e.g., Snowflake, Hadoop, Teradata, Hive).
• Experience in developing, implementing and 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 project management, 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 with bias detection tools or research of fairness.
• Experience in LLM prompt engineering and LLM-based model development (e.g., transformers, embeddings, large language models).