Senior Analyst, Credit Operations Modeling at Synchrony | Atlanta, GA, US | Rezi

Senior Analyst, Credit Operations Modeling at Synchrony

Senior Analyst, Credit Operations Modeling

Synchrony · Atlanta, GA, US

Today

Senior Analyst, Credit Operations Modeling

Synchrony · Atlanta, GA, US

2 hours ago
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About the Role

Synchrony's Credit and Capital Management group seeks a data scientist/credit risk modeling professional experienced in executing, maintaining, and developing models under regulatory guidance (SR 11-7 / OCC 2011-12, CECL, CCAR, DFAST). This role focuses on quarterly reserve development and loss forecast projections, analyzing trends and drivers across the Synchrony portfolio. The position requires producing robust collateral for process risk controls and documentation, collaborating with IT and model development for enhancements and big data processing, and ensuring business intent aligns with sound estimates.

Responsibilities

  • Plan and execute models in the production Reserves and Loss Forecasting process with a focus on CECL, recoveries, scenario management, and stress testing.
  • Maintain model data input monitoring, production controls, and output analytics, including results analysis and documentation.
  • Support quarterly review process, quarter closing activities, and contribute to process controls as a peer reviewer.
  • Visualize insights, performance, and trends for effective communication and decision-making.
  • Drive understanding of drivers and provide narrative support for assumptions, rationale, and projections to model owners and sponsors.
  • Assist with responding to model validation, regulatory, or other oversight requests, adhering to model governance standards.
  • Support the development of new models or enhancements to existing models.
  • Aid in managing models through their lifecycle, from development to production implementation, and outline enhancements for future releases.
  • Collaborate with cross-functional teams including Forecasting, Reserve and Stress Testing/Capital Management, Model Development, Data Governance, Finance, Collections, and Controllership.
  • Perform other duties and/or special projects as assigned.

Requirements

  • Bachelor's degree in a quantitative field (Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering) and 5+ years of experience in Programming/Analytics, ideally supporting Risk, Credit, Finance, Accounting, Consumer Lending, or equivalent.
  • Alternatively, 9+ years of experience in Risk, Credit, Finance, Accounting, or Consumer Lending in lieu of a degree.
  • 5+ years of demonstrated programming skills in SQL, Python, and Spark.
  • Proven hands-on experience using SQL, Python, Spark, and Linux for statistical analysis, querying relational databases, and managing large datasets.
  • Ability and flexibility to travel for business as required.

Skills

  • SQL
  • Python
  • Pandas
  • Spark
  • Hadoop
  • Linux
  • Statistical Analysis
  • Model Development
  • Data Analysis
  • Big Data Processing
  • Process Improvement
  • Project Management
  • Change Management
  • Model Governance
  • AWS
  • HDFS

Location

  • Remote
  • Hybrid

Work Type

  • Full-time

Experience Level

  • 5+ years

Education Level

  • Bachelor's degree

Salary/Compensations

  • 85,000.00 - 140,000.00 USD Annual

Benefits

  • Eligible for an annual bonus based on individual and company performance.

About the Company

  • Synchrony's Credit and Capital Management group is focused on reserves and loss forecasting.
  • We are building a future where we can all belong, connect, and turn ideals into action.
  • More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs).
  • We have an award-winning culture for all.

Equal Opportunity

  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
  • We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.