Principal Quant Developer

Salary: $105000 - 212000 per year Requirements: Bachelors degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field with six (6) years of experience as a Senior Quant Developer or similar role. Alternatively, a Masters degree (or equivalent foreign education) in the same fields and four (4) years of experience as a Lead Quantitative Developer or similar role. Proven experience in building high-performance, robust, and efficient systems for financial investment decisions using R, Python, PL/SQL databases, and quantitative techniques. Expertise in Python with full-stack development experience. Strong foundation in mathematics, statistics, and quantitative finance. Familiarity with object-oriented programming (OOP) principles and design patterns. Experience with at least one unit testing framework and understanding of test-driven development (TDD) practices. Proficient in various database technologies: SQL (Oracle & Snowflake), NoSQL, Graph. Competent in Batch and API technologies, including batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask) utilizing AWS resources such as Lambda, S3, EKS, and EC2. Experience with CI/CD and DevOps practices, including Continuous Integration (CI) and Continuous Deployment (CD) pipelines (using Linux and Jenkins), and version control using GitHub. Ability to analyze and design systems for implementing quantitative models for systematic financial investments with R and Python, including time series forecasting models and multi-asset class portfolio construction strategies. Innovative problem solver with a passion for keeping up with advanced methodologies and industry trends, particularly in finance. Knowledge in equities, fixed income, or alternative asset classes. Strong understanding of statistical techniques and methods, including probability, linear regression, and time series data analysis. Ability to thoughtfully apply advanced analytics and quantitative concepts to meet investment needs and create new solutions. Leadership experience in managing research projects throughout the software development lifecycle through full-stack implementation. Excellent presentation and communication abilities, adept at engaging with quantitative researchers and investment professionals. Support research teams in developing innovative models and products that enhance our competitive edge in the marketplace. Progress towards CFA (or equivalent) certification is a plus. Responsibilities: Participate in a dynamic and fast-paced development team to support researchers in developing and prototyping new systematic investment strategies. Provide impactful solutions for projects related to alpha research, portfolio construction, and risk management. Construct high-quality, scalable, resilient, and efficient analytical and software solutions that enhance investment processes. Analyze and design systems to implement quantitative models utilized in systematic financial investments using R and Python. Engage in developing time series forecasting models, multi-asset class portfolio strategies, risk management tools, and simulation-based algorithms to formulate investment strategies. Lead the execution of research projects throughout the entire software development lifecycle using a full-stack approach. Collaborate with asset management teams on innovative projects, including systematic investment strategies, advancing portfolio construction, and refining risk management practices. Assist research teams in crafting new models and products that strengthen organizational advantages in the financial marketplace. Technologies: Airflow API AWS Lambda CI/CD DevOps EC2 Flask GitHub Support Jenkins Linux NoSQL OOP Oracle Python Quant REST SQL Snowflake TDD Cloud More: We are Fidelitys Quantitative Research & Investing Technology (QRIT) team, part of the Asset Management Technology group. Our focus is on creating high-quality, robust, and scalable solutions that improve decision-making and efficiency in asset management. We collaborate closely with the Advance Strategies and Research teams on cutting-edge projects, including systematic investment approaches and risk management strategies. We offer a competitive salary range of $105000-212000 with additional compensation packages that may include bonuses. Our benefits include comprehensive healthcare coverage, retirement plans, generous paid time off, parental leave, and educational assistance programs. The role operates in a hybrid model, requiring on-site presence every other week in our office, providing a perfect blend of flexibility and collaboration. last updated 28 week of 2026