Analyst - Quant Modeling

Analyst - Quant Modeling

Only for diversity candidates for Tier I college.

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 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 3+ 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/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