Director of Workplace Operations at Campus overseeing the strategy and execution of multi - site office management in New York City. Ensuring exceptional employee experiences and operational excellence.
About the role
- Data scientist role focusing on credit risk modeling and loss forecasting. Collaborating across functions to develop and enhance statistical models for business insights.
Responsibilities
- Plan and execute models in the production Reserves and Loss Forecasting process with a focus on CECL
- Maintain model data input monitoring, production controls and output analytics including results analysis along with robust documentation of key facets
- Support quarterly review process and quarter closing activities, as well as contribute to effective process controls as peer reviewer
- Visualize insights, performance, and trends in inputs/outputs for effective communication and decisioning
- Drive understanding of drivers and providing narrative support for the assumptions, rationale, and projections to model owners and sponsors
- Assist with responding to model validation, regulatory or other oversight requests, including exam findings or issues
- Adhere to and follow model governance standards
- Support the development of new models or enhancements to existing models
- Aid management of models through their lifecycle, from development phase through to implementation into production and outline enhancements for evaluation and future model releases
- Meet project timelines, engage in ongoing analysis, find performance thresholds, manage model version control, performance assessments, seek out opportunities for process and model improvements, collaborate on model recalibrations, and re-fits when business dynamics change
- Collaborate with other cross functional teams – Forecasting, Reserve and Stress Testing/Capital Management teams, Model Development, Data Governance, Finance, Collections and Controllership
- Perform other duties and/or special projects as assigned
Requirements
- Bachelor's degree with quantitative underpinning (i.e., Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering)
- 3+ years of experience in Programming / Analytics ideally in support of Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional and/or educational experience or in lieu of degree 6+ years of experience in Risk, Credit, Finance, Accounting or Consumer Lending
- 3+ years’ experience demonstrating strong programming skills in SQL, Python, Spark
- Proven hands-on experience utilizing SQL, Python, Spark, Linux, to perform statistical analysis, query relational databases, and manage large amounts of data
- 3+ years of experience modeling in areas such as Loss Forecasting, Allowance, Stress Testing, or other areas with consumer credit estimation
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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