Model Risk Quant Developer Charlotte NC Hybrid

Charlotte, VT - USA

Hourly Salary: $ 95 - 160

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Model Risk Quant Developer Charlotte NC Hybrid

FinTrust 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 FinTrust Careers
Or email with subject Apply Model Risk Quant Developer Charlotte
Follow FinTrust Connect on LinkedIn

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

Model Risk Quant Developer Charlotte NC Hybrid FinTrust 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 st...