Selby Jennings
Principal Quant Developer
Selby Jennings, Boston, Massachusetts, us, 02298
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.
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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.
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