AVP, Credit Model Development (L11)

Synchrony
Hyderabad, Bengaluru, Pune, Kolkata, Delhi
Workplace: HybridFull timeFunction: Banking, Lending & CreditExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Project management","Accuracy","Attention to detail","Mentoring"]

Own acquisition credit models end-to-end, from initiation through retirement, including development lifecycle work (data prep, exploratory analysis, feature engineering, modeling, and documentation) and ongoing validation, monitoring, and revalidation. Partner with model owners/users and risk governance teams to troubleshoot performance, support governance activities, and explain model changes to strategy teams. Build automation (reports/datapulls) using SAS, Python/PySpark, and Tableau, and mentor junior team members.

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Synchrony
Synchrony
9 hours ago

AVP, Credit Model Development (L11)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Own acquisition credit models end-to-end, from initiation through retirement, including development lifecycle work (data prep, exploratory analysis, feature engineering, modeling, and documentation) and ongoing validation, monitoring, and revalidation. Partner with model owners/users and risk governance teams to troubleshoot performance, support governance activities, and explain model changes to strategy teams. Build automation (reports/datapulls) using SAS, Python/PySpark, and Tableau, and mentor junior team members.
Location: Hyderabad, Bengaluru, Pune, Kolkata, Delhi
Workplace: Hybrid
Employment Type: Full time
Job Function: Banking, Lending & Credit
Seniority: Manager level

Key Responsibilities

  • •Manage acquisition credit models through their lifecycle, from initiation to retirement, including development, evaluation, validation, monitoring, and implementation testing and documentation.
  • •Validate and monitor internal and external credit models using standard metrics and investigate performance deteriorations with stakeholders.
  • •Independently run annual model reviews and periodic revalidation for credit risk models, supporting model governance activities like pre-implementation validation and issue remediation/closure.
  • •Develop credit risk models across the full lifecycle (data preparation, exploratory analysis, feature engineering, model builds, performance evaluation, documentation) under the US model development team.
  • •Lead automation projects (e.g., report automation and datapulls) using tools like SAS, Python, PySpark, and Tableau, while providing analytic support and mentoring junior team members.
Travel: Low travel

Pay and Benefits

Perks:Remote Work

Key Requirements

  • •Bachelor’s degree with quantitative underpinning (Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 5+ years’ analytical/quantitative experience in consumer lending (or 7+ years in lieu of degree).
  • •Experience with SAS/SQL, Python/PySpark, and reporting tools like Tableau.
  • •Knowledge of statistical and machine learning techniques such as logistic regression, Random Forest, and XGBoost.
  • •Ability to interpret complex data and communicate clearly and concisely.
  • •Strong written/oral communication skills, ability to manage multiple projects and deliver on deadlines with accuracy and attention to detail.
Experience:5+ yearsConsumer lendingBanking sectorMachine learning
Education:Bachelor's in Risk, Economics, Finance, Mathematics, Statistics, Engineering (quantitative underpinning)
Skills:CommunicationProject managementAccuracyAttention to detailMentoring
Tech Stack:SASSQLPythonPySparkTableauLogistic RegressionRandom ForestXGBoostMachine learningFeature engineeringData preparation

Company Brief

Synchrony
Provides consumer financing solutions including private-label credit cards, co-branded cards, and specialty financing for retailers and consumers, alongside digital banking and payment solutions.
Industry: Lending
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stamford, United States
Founded: 2003
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn