Senior Quantitative Developer for Investment Systems

Soteria Reinsurance Ltd.; Jersey City (NJ); On-site; USD 174,000 - 181,000; Full time

Job summary

Fidelity Investments is seeking a Principal Quantitative Developer to build reliable, scalable systems that support investment research and decision‑making. You’ll design APIs, data pipelines, and cloud‑based tooling, ensuring CI/CD, automated testing, and data integrity across production environments.

Role requires strong quantitative modeling, Python/R proficiency, and experience in asset‑class analytics.

Qualifications

• Candidates hold at least a Bachelor's degree in a quantitative/technical field and 5 years in a principal quantitative developer role.
• A Master’s degree with 3 years of related experience is also acceptable.

Responsibilities

• Analyzes and implements systematic investment strategies including time-series forecasting, multi-asset portfolio construction, and risk management frameworks.
• Translates research concepts into production‑ready software across the full software development lifecycle.
• Designs scalable, maintainable, and performant quantitative systems based on business needs.
• Provides domain expertise across asset classes and supports research teams in developing new models and tools.
• Mentors junior team members and collaborates with Product, Engineering, and Investment Research.

Skills

Quantitative modeling

Test case development

Regression testing

Python

R

CI/CD

Cloud-based systems

Education

Bachelor’s degree in Computer Science/Engineering/Mathematics/Statistics/Finance

Master’s degree in related field

Tools

Python

R

Cloud platforms

CI/CD tooling

Job description

Fidelity Investments is seeking a Principal Quantitative Developer to build reliable, scalable systems that support investment research and decision‑making. You’ll design APIs, data pipelines, and cloud‑based tooling, ensuring CI/CD, automated testing, and data integrity across production environments.

Role requires strong quantitative modeling, Python/R proficiency, and experience in asset‑class analytics.