Python Quant Engineer — Financial Analytics & Trading

Risk Analytics Company; Guilford (CT); On-site; USD 120,000 - 170,000; Full time

Job summary

Risk Analytics Company is seeking a Python Software Engineer specializing in financial engineering. You will design and implement quantitative tools, pricing models, and risk systems using Python and modern software practices.

Responsibilities include building backtests, data pipelines, and scalable solutions for market data integration. Collaboration with researchers and traders is essential, with a focus on robust, well-documented code.

Qualifications

• Bachelor's/Master's/PhD in quantitative field or related discipline.
• 3+ years of professional Python development experience.
• Strong OO design and software engineering practices.
• Knowledge of derivative pricing, fixed income analytics, risk management.

Responsibilities

• Design, develop, and maintain Python applications for financial analysis and quantitative modeling.
• Build pricing, valuation, and risk models for financial instruments.
• Develop data pipelines for market, economic, and alternative data.
• Create backtesting frameworks for trading/investment strategies.
• Collaborate with researchers, traders, PMs, and engineers.
• Optimize code for performance, scalability, and reliability.

Skills

Python

NumPy

Pandas

SciPy

SQL

Git

Linux

Docker

REST APIs

Financial Modeling

Quantitative Finance

Risk Analytics

Time Series

Education

Bachelor's/Master's/PhD in quantitative field

Job description

Risk Analytics Company is seeking a Python Software Engineer specializing in financial engineering. You will design and implement quantitative tools, pricing models, and risk systems using Python and modern software practices.

Responsibilities include building backtests, data pipelines, and scalable solutions for market data integration. Collaboration with researchers and traders is essential, with a focus on robust, well-documented code.