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Model Risk Quant Developer- Charlotte, NC Hybrid

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: FinTrust Connect
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    Python
Salary/Wage Range or Industry Benchmark: 95 - 160 USD Hourly USD 95.00 160.00 HOUR
Job Description & How to Apply Below

Model Risk Quant Developer
- Charlotte, NC Hybrid

Fin Trust Connect
- Charlotte, NC
- Hybrid

Share Your Resume and Build Your Future!

Join our Talent Community for Charlotte. Banks are hiring risk technology developers with Python depth plus distributed compute and cloud familiarity to accelerate VaR and stress and model testing utilities for audit ready delivery.

Requirements
  • 4 to 8 years in Python based quant or risk development
  • Strong SQL and data modeling and performance tuning
  • Optional Databricks or Azure or Spark experience for large scale runs
  • Understanding of VaR and stress and PFE concepts and model testing workflows
  • Exposure to SR 11 7 process and documentation expectations
Responsibilities
  • Build reusable components for data prep and feature engineering and scenario generation
  • Create validation utilities for sensitivity and stability and performance monitoring
  • Automate pipelines for backtests with parameter controls and reporting artifacts
  • Collaborate with validators and internal audit to ensure traceable evidence
Outcomes we track
  • Data and code lineage captured 100% for validation packs
  • Backtest runtimes reduced 30% in 90 days on priority models
  • RFI responses delivered 100% on time with complete evidence
Compensation and terms
  • Consultant pay $95 to $160 per hour
  • Contract Hybrid Charlotte NC or Remote US W2 or 1099
How to apply
  • Apply on our site Fin Trust Careers
  • Or email  with subject [Apply] Model Risk Quant Developer Charlotte
  • Follow Fin Trust Connect on Linked In

Keywords

Model Risk, Quant Developer, Python, SQL, Spark, Databricks, Azure, VaR, Stress Testing, Benchmarking, Validation Utilities, Evidence, Lineage, Charlotte

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