Vice President - Loss Forecasting Modeling Lead - BFS

Essential Responsibilities:

Credit Modeling

- Support the design, development of consumer credit statistical / econometric models to support production Loss Forecasting, Reserves (CECL), and Stress Testing processes by applying appropriate methodologies - including, but not limited to, regression, forecasting, clustering, decision trees, simulation, optimization, and machine learning using Python/PySpark and big data environment

- Adapt automation and machine learning technologies, data frameworks and implementation platforms to enhance the functionality and rebuild the models that are currently developed in SAS

- Assist with successful annual quantitative and qualitative assessments/remediations and submission of existing models with respect to internal (model validation/audit) and external (regulatory) guidelines - Convert business requirements into modeled solutions, enhancing efficacy and generating insights

Seek out opportunities for model improvements, collaborate on model re-calibrations, and re-fits when business dynamics change

- Visualize insights, performance, and trends in inputs/outputs for effective communication and decisioning Team Management - Operate as a doer-leader, manage a team, with a focus on prioritizing deliverables / timelines, upskilling talent to latest techniques and technologies, as well as providing cross functional experiences

- Collaborate with global teams - Model Development, Data Infrastructure, as well as Business

- Process teams (Credit Forecasting, Reserves, Stress Testing, and Credit Strategy) - Perform other duties and/or special projects as assigned Qualifications/Requirements:

- Bachelor's degree with quantitative underpinning (i.e., Mathematics, Statistics, Finance, Economics, OR, Engineering)

- Minimum 8 years of relevant experience in Risk or Credit or Consumer Lending, or 10+ years of relevant work experience in lieu of a Bachelor's degree

- Strong programing skills in SQL, Python, Spark with 3+ years' experience.

- Proven hands-on experience utilizing using either SQL, Python, Spark, SAS etc. to perform statistical analysis, query relational databases, and manage large amounts of data

- Minimum 3+ years of experience in credit loss modeling in areas such as Loss Forecasting, Allowance, Stress Testing or other areas with consumer credit estimation, or analogous areas such as insurance

- Minimum 3+ years managing a team of data scientists and/or model developers and providing thought leadership to support model development activities

- Shift Timings: 2pm IST to 11pm IST Desired Qualifications

- Master's Degree or a PhD with quantitative underpinning will be preferred

- Prior End-to-End Account Level Modeling Experience using big data environment strongly preferred

- Strong working knowledge of transactional and credit bureau data e.g., FICO, Transunion, Equifax as well as knowledge of alternative data sources to enhance model development

- Experience in data visualization (Tableau) and reporting solutions

- Excellent time management with ability to manage multiple competing initiatives and deliver results within deadlines with accuracy and attention to detail

- Familiarity with US Model Governance trends/developments across the banking sector, especially as related to credit card or consumer lending (SR11-7)

- Strong communication skills to facilitate complex discussions in productive and collaborative manner positive mindset under tight timelines / critical deliverables