Lead Quantitative Developer — Production Research Systems

Socket.dev; Jersey City (NJ); On-site; USD 174,000 - 181,000; Full time

Job summary

Fidelity Investments in Jersey City is seeking a Principal Quantitative Developer to design and build scalable systems enabling investment research and decision‑making. You will develop APIs, data pipelines, and cloud‑based workflows with strong emphasis on reliability and model integrity.

The role requires advanced quantitative modeling, collaboration with researchers, and implementation of automated testing and CI/CD practices to ensure research quality and reproducibility.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field and five years of experience in quantitative development in financial investment/asset-management.
• Or a Master’s degree with three years of experience in quantitative development in financial investment/asset-management.

Responsibilities

• Analyzes and implements systematic investment strategies including time-series forecasting, multi-asset portfolio construction, risk management frameworks, alpha research, and simulation-based algorithms.
• Translates research concepts into production‑ready software solutions across the full software development lifecycle.
• Designs scalable, maintainable quantitative systems based on business and research requirements.
• Applies emerging quantitative methodologies and analytics techniques to enhance investment capabilities.
• Provides domain expertise across asset classes such as equities, fixed income, or alternatives.
• Collaborates with Product, Engineering, and Investment Research to deliver end‑to‑end solutions.
• Contributes to long‑term architecture planning and technology roadmap development.
• Communicates complex quantitative concepts and results to technical and non‑technical stakeholders.
• Mentors junior team members.

Job description

Fidelity Investments in Jersey City is seeking a Principal Quantitative Developer to design and build scalable systems enabling investment research and decision‑making. You will develop APIs, data pipelines, and cloud‑based workflows with strong emphasis on reliability and model integrity.

The role requires advanced quantitative modeling, collaboration with researchers, and implementation of automated testing and CI/CD practices to ensure research quality and reproducibility.