Senior Analyst, Credit Operations Modeling

Synchrony

. Plan and execute models in the production Reserves and Loss Forecasting process, focusing on CECL, recoveries, scenario management, and stress testing .

Posted 9/23/2026full-timeUnited StatesSenior💰 $85,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in model development and execution within the Reserves and Loss Forecasting process, with strong capabilities in SQL, Python, and Spark for data analysis and management. Proficient in collaborating across cross-functional teams to enhance model performance and ensure compliance with governance standards.

Highest-signal resume keywords

Model DevelopmentSQL ProgrammingPython ProgrammingStatistical AnalysisData Governance

ATS Keywords

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Hard Skills

Model ExecutionData AnalysisStatistical AnalysisRelational Database QueryingPerformance AssessmentVersion ControlScenario ManagementStress TestingModel ValidationDocumentation

Soft Skills

CollaborationAnalytical ThinkingCommunication

Tools & Technologies

SQLPythonSparkLinux

Industry Keywords

CECLRisk ManagementCredit AnalysisConsumer LendingFinancial Analysis

Tech Stack

Tools & technologies

LinuxPythonSparkSQL

About the role

Key responsibilities & impact

Plan and execute models in the production Reserves and Loss Forecasting process, focusing on CECL, recoveries, scenario management, and stress testing
Maintain model data input monitoring, production controls, output analytics, and documentation
Support quarterly reviews and quarter-closing activities; contribute as a peer reviewer for process controls
Visualize insights, performance, and trends in model inputs and outputs
Analyze drivers and provide narrative support for assumptions, rationale, and projections
Respond to model validation, regulatory, and oversight requests, including exam findings and issues
Follow model governance standards
Support development of new models and enhancements to existing models
Manage models through their lifecycle from development through production implementation
Define enhancements, meet project timelines, analyze performance thresholds, manage version control, assess performance, and support recalibration and refitting
Collaborate with Forecasting, Reserve and Stress Testing/Capital Management, Model Development, Data Governance, Finance, Collections, Controllership, IT, and other cross-functional teams
Perform other duties and special projects as assigned

Requirements

What you’ll need

Bachelor's degree with quantitative underpinning in Data Science, Computer Science, Risk, Accounting, Business, Economics, Finance, Mathematics, Statistics, Engineering, and 5+ years of relevant experience, or 9+ years of relevant experience in lieu of degree
5+ years of strong programming experience in SQL, Python, and Spark
Hands-on experience using SQL, Python, Spark, and Linux for statistical analysis, relational database querying, and managing large amounts of data
Experience in programming/analytics supporting Risk, Credit, Finance, Accounting, Consumer Lending, or other relevant professional experience
Ability and flexibility to travel for business as required
Must be 18 years or older
Must have a high school diploma or equivalent
Must be willing to take a drug test, submit to a background investigation, and submit fingerprints during onboarding
Must satisfy Section 19 of the Federal Deposit Insurance Act
Legal authorization to work in the U.S. required
Employer will not sponsor employment visas

Benefits

Comp & perks

Annual bonus based on individual and company performance
Flexible work options, including working from home near a Hub or working in an office
In-person business or team meetings, training, and culture events at the nearest Hub
Employee Resource Groups (ERGs)
Inclusive culture
Reasonable accommodations for disabilities
Career Support Line for accommodation assistance