Sr Quant Developer

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.

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.