Synchrony

Credit Operations - Modeling

Synchrony

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $100,000 - $170,000 per year

Job Level

Lead

Tech Stack

AWSCloudHadoopHDFSLinuxPandasPythonSparkSQL

About the role

  • Plan and execute models in the production Reserves and Loss Forecasting process with a focus on Loss Forecasting and CECL (Reserves), as well as allied quantitative estimates such as recoveries and scenario management and stress testing
  • 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 re-calibrations, 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
  • Prepare necessary documentation such as procedures, user guides, and training material.
  • 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) and 4+ years of experience in Programming / Analytics ideally in support of Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience or in lieu of degree
  • 7+ years of experience in Risk, Credit, Finance, Accounting or Consumer Lending
  • 4+ years’ experience demonstrating strong programing skills with programming languages such as: SQL, Python, Spark with proven hands-on experience utilizing using SQL, Python, Spark, Linux, to perform statistical analysis, query relational databases, and manage large amounts of data
  • 3+ years of experience in credit loss modeling in areas such as Loss Forecasting, Allowance, Stress Testing, or other areas with consumer credit estimation