Model Risk Quant Developer -New York, NY -HybridJoin our Talent Community for New York. Demand is strong for Python first quant developers who partner with model risk and validation teams to productionize libraries, automate back tests, and support SR 11 7 driven testing and controls.As a Model Risk Quant Developer you will build and harden production grade code that enables risk models and validation tools across market credit and liquidity domains. You will collaborate with quants and validators and technology to deliver reproducible results, traceable data, and exam ready evidence.Requirements:5 to 10 years in quantitative development in banking or buy sideExpert Python with strong SQL and exposure to C++ or Java nice to haveExperience supporting model validation and testing and benchmarkingFamiliarity with SR 11 7 controls and model lifecycle and documentation expectationsLibraries and tools NumPy and Pandas and SciPy and scikit learn and PyTorch or TensorFlow as neededCI and CD unit tests and regression suites and artifact versioning and containerizationData engineering awareness for clean inputs and lineageResponsibilities:Implement robust pricing and risk analytics and backtesting utilities that validators can run repeatablyOptimize compute paths and serialize results for explainability and auditBuild harnesses for challenger and benchmark models and sensitivity and stability checksPackage and document code with clear assumptions and limitations and usage notesPartner with model risk to answer RFIs with scripts and notebooks and evidence packsOutcomes we track:Reproducible runs for validation suites 100% with seed and environment lockTest coverage 80% on shared libraries within 60 daysBenchmark and challenger comparisons produced within agreed SLAs 100%Compensation and terms:Consultant pay $110 to $180 per hourContract Hybrid New York NY or Remote US W2 or 1099How to apply:Apply on our site FinTrust CareersOr email with subject (Apply) Model Risk Quant Developer New YorkKeywords Model Risk, SR 11 7, Quant Developer, Python, NumPy, Pandas, SciPy, scikit learn, Backtesting, Benchmarking, Challenger Models, Pricing Library, Risk Analytics, CI CD, Unit Testing, Data Lineage, NYC