Job Responsibilities
As a Fair Lending Quant Modeling VP in this high-visibility role, you will:
- Conduct statistical analyses and bias testing to review business models for fair lending compliance, including traditional and machine learning / artificial intelligence models (ML/AI)
- Build data-driven algorithms to mitigate 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 abreast with industry and regulatory standards
- Create model documentation; work with Control, Audit and Model Governance to ensure adequacy of processes, statistical models and model reviews
- Support the team in maintaining relevant policies & procedures and represent fair lending in regulatory exams, audits and other areas related to internal governance
- Manage a team of quants & be responsible for overseeing their work and the quality of team’s deliverables
- Perform other related duties as assigned, including training other team members, as needed
Required Qualifications, Capabilities, and Skills:
- Bachelor degree required in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering) and 12+ years of relevant work experience or Masters degree in a quantitative field, and 10+ 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 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
- Experience managing a team of 3-5 quants
- Shift timings - 2:30-11:30pm IST
Preferred Qualifications, Capabilities, and Skills:
- Experience in SAS
- Experience with bias detection tools or research of fairness