Overview:
We are seeking a highly skilled Principal Quantitative Developer to join our Boston-based team at a leading global asset management firm. This individual will play a critical role in designing, developing, and optimizing quantitative investment models and strategies while driving the evolution of our quantitative research and development infrastructure.
Key Responsibilities:
Quantitative Development:
- Build, enhance, and maintain scalable, high-performance quantitative research and trading platforms.
- Implement sophisticated quantitative models and strategies using advanced programming and computational techniques.
- Optimize existing systems for efficiency, scalability, and accuracy.
Collaboration with Investment Teams:
- Work closely with portfolio managers, researchers, and data scientists to translate research ideas into production-level code.
- Partner with investment professionals to identify opportunities for alpha generation and risk mitigation.
Data Analysis and Infrastructure:
- Develop and manage tools for processing, analyzing, and visualizing large-scale datasets.
- Oversee the integration of alternative and traditional datasets into investment workflows.
- Contribute to the design and execution of data pipelines and storage solutions.
Leadership and Innovation:
- Lead technical teams in project execution, ensuring timely delivery and adherence to best practices.
- Stay abreast of emerging technologies and trends in quantitative finance, recommending and implementing innovative solutions.
- Mentor junior developers and contribute to the broader knowledge base of the team.
Qualifications:
Technical Skills:
- Advanced proficiency in programming languages such as Python, C++, Java, or Scala.
- Strong background in distributed computing, cloud infrastructure (e.g., AWS, Azure), and database technologies (SQL/NoSQL).
- Expertise in quantitative finance, including statistical modeling, optimization, and machine learning techniques.
Experience:
- 7+ years of experience in quantitative development within the financial industry.
- Proven track record of implementing production-quality systems for trading, portfolio management, or risk analytics.
- Experience with modern DevOps tools and practices (e.g., Docker, Kubernetes, CI/CD pipelines) is highly desirable.
Education:
- Bachelor's, Master's, or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related field.
- Additional qualifications in finance or data science are a plus.
