Join a leading investment firm in Boston that leverages data-driven insights, innovative strategies, and state-of-the-art technology to deliver exceptional portfolio performance. We seek a talented Quantitative Researcher with a strong development background and a passion for financial markets to contribute to our investment success.
Position Summary:
As a Quantitative Researcher, you will play a key role in driving investment performance by combining your technical expertise with strategic research. Your responsibilities will include rigorous data analysis, statistical modeling, and the development of robust tools for investment decision-making. You will conduct hypothesis-driven research to design, test, and implement predictive signals that forecast asset prices while partnering with a collaborative team of financial experts and technologists.
Key Responsibilities:
- Data Analysis: Explore, analyze, and interpret large, complex datasets to uncover actionable insights that inform trading strategies.
- Statistical Modeling: Develop and implement advanced statistical and machine learning models to predict asset price movements and enable optimal portfolio construction.
- Software & Tools Development:
- Build, scale, and maintain production-ready tools and software for data analysis, portfolio simulations, predictive modeling, and trade execution.
- Write clean, efficient, and production-ready code in Python, R, SQL/PostgreSQL while ensuring integration into existing systems.
- Hypothesis-Driven Research: Conduct research on financial markets, including creating, testing, and iterating predictive signals to forecast asset price behaviors.
- Collaboration: Work closely with portfolio managers, data engineers, and technologists to align strategies with investment objectives.
- Documentation: Document methodologies, code, and processes for reproducibility and knowledge sharing.
- Education: Bachelor's degree or higher in Mathematics, Engineering, Computer Science, Statistics, Physics, Operations Research, or a related field. Advanced degrees (Master's or Ph.D.) are strongly preferred.
- Technical Expertise:
- Strong experience in Python, R, SQL/PostgreSQL, with a demonstrated ability to write production-ready code.
- Proficiency in machine learning and statistical modeling techniques.
- Strong familiarity with the design and implementation of scalable software tools.
- Finance Expertise:
- Robust understanding of investing, trading, and financial markets, including concepts like portfolio optimization, risk management, and asset pricing.
- Experience within financial services or asset management is highly desirable.
- Analytical Skills: Advanced problem-solving and analytical skills, with attention to detail and a focus on data accuracy.
- Additional Skills: Strong interpersonal skills with the ability to collaborate effectively in a fast-paced, team-oriented environment.
Preferred Experience:
- Familiarity with market-making, algorithmic trading, or derivatives pricing.
- Track record of integrating quantitative research into investment decisions.
Why Join Us?
- Be part of a dynamic and forward-thinking investment team that values technical innovation and collaboration.
- Work on cutting-edge tools and technologies to solve complex financial problems.
- Enjoy a competitive compensation package, including performance incentives and attractive benefits.
If you’re passionate about combining your technical and financial expertise to make data-driven investment decisions, apply today and become part of our mission to redefine success in financial markets!