Sr Quant Developer

Salary is 200k to 350k + bonus 2 days remote and 3 days onsite We are seeking a Quantitative Developer to partner directly with Portfolio Managers and Researchers to transform investment ideas into scalable, production-ready trading solutions. This role sits at the intersection of technology and investing, requiring strong software engineering skills, quantitative thinking, and the ability to work closely with front-office stakeholders. Key Responsibilities • Collaborate with Portfolio Managers to design, develop, and enhance systematic trading strategies and investment models. • Build and maintain research, backtesting, and portfolio analytics tools used to evaluate and implement trading ideas. • Develop high-quality software and infrastructure to support portfolio construction, trade execution, and risk monitoring. • Translate quantitative research concepts into robust production systems and workflows. • Work with large financial datasets to improve alpha generation, portfolio optimization, and investment decision-making. • Partner with researchers, traders, and technology teams to deliver scalable and efficient solutions. • Enhance existing trading platforms, data pipelines, and analytics frameworks to improve performance and reliability. Required Qualifications • Strong programming skills in Python and/or C++. • Experience developing software for quantitative research, systematic trading, asset management, or financial markets. • Solid understanding of financial markets, investment strategies, and portfolio management concepts. • Experience working with large datasets and building analytical tools for research or trading applications. • Strong knowledge of software engineering best practices, including testing, code optimization, and version control. • Ability to communicate effectively with both technical and investment professionals. Preferred Experience • Experience supporting Portfolio Managers, Quant Researchers, or Systematic Trading teams. • Knowledge of portfolio construction, risk models, factor investing, or quantitative investment strategies. • Familiarity with market data, trading systems, and financial analytics platforms. • Exposure to cloud technologies, distributed computing, or high-performance computing environments.