Python Quantitative Developer

Skills

Job Specifications

Python Quantitative Developer

Location: Pittsburg, PA / Lake Mary, FL/ Jersey City, NJ – Hybrid Role

Long Term Project

Key Responsibilities

Quantitative Modeling & Scenario Analytics

Develop and implement using Python for balance sheet projections, interest rate risk (IRR), liquidity analytics, and scenario-driven stress testing.
Support both regulatory scenarios (e.g., CCAR, SCB, liquidity stress) and ad hoc “what-if” analyses for Treasury and risk stakeholders.
Build tools for scenario transformations, sensitivity calculations, curve construction, and quantitative stress analytics.

Platform & Data Engineering

Design and maintain high performance Python modules that serve as the computational core of the scenario analysis framework.
Proficient with Pandas, Numpy and other Quant libraries.
Work with large datasets using SQL to integrate financial, balance sheet, and market inputs.
Collaborate on the development of REST APIs that interface with scenario engines, model layers, and user applications.

Front-End & Workflow Integration

Partner with UI developers to support React-based dashboards that present scenario results, visualizations, and analytics to business users.

About the Company

NAM Info Inc. is a technology-forward talent management organization dedicated to bridging the gap between industry leaders and exceptional human resources. They pride themselves on delivering quality candidates, deep industry coverage, and knowledge-based training for consultants. Their commitment to long-term partnerships, rooted in ethical practices and trust, positions them as a preferred partner for many industries. Learn more about their vision, achievements, and services on their website at www.nam-it.com. Know more

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