Selby Jennings
Principal Quantitative Developer (Python)
Selby Jennings, Boston, Massachusetts, us, 02298
About:
Selby Jennings has partnered with multiple teams on the Asset Management arm of a leading buy side firm with offices in Boston, MA and Jersey City, NJ. There are multiple opportunities across asset classes and leveling offerings between Senior, Principal, and Management. These are full time, direct-hire opportunities on a hybrid work model. Qualifications: Minimum of 7 years of professional experience in a developer seat Demonstrated knowledge of mathematics, statistics, and quantitative finance Exposure to object-oriented programming (OOP) and design patterns,
Python strongly preferred Extensive experience in quantitative modeling Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph Experience implementing CI/CD and DevOps best practices A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals Bachelors and/or Masters within Computer Science, Mathematics, Statistics, Engineering, or equivalent Progress towards CFA (or equivalent) a plus Responsibilities: Analyze and support quantitative asset allocation research and risk management capabilities Apply advanced analytics and quantitative concepts to support investment needs Build rapid solutions and software applications to meet urgency Participate in the design and documentation of technology architecture Communicate with quantitative research and technology teams and senior management Partner with quantitative research analysts to research and implement software solutions Support validation and back testing financial modeling Analyze information to determine, recommend, and plans computer software specifications on major projects Propose modifications and improvements based on user need Develop software system testing and validation procedures, programming, and documentation
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Selby Jennings has partnered with multiple teams on the Asset Management arm of a leading buy side firm with offices in Boston, MA and Jersey City, NJ. There are multiple opportunities across asset classes and leveling offerings between Senior, Principal, and Management. These are full time, direct-hire opportunities on a hybrid work model. Qualifications: Minimum of 7 years of professional experience in a developer seat Demonstrated knowledge of mathematics, statistics, and quantitative finance Exposure to object-oriented programming (OOP) and design patterns,
Python strongly preferred Extensive experience in quantitative modeling Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph Experience implementing CI/CD and DevOps best practices A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals Bachelors and/or Masters within Computer Science, Mathematics, Statistics, Engineering, or equivalent Progress towards CFA (or equivalent) a plus Responsibilities: Analyze and support quantitative asset allocation research and risk management capabilities Apply advanced analytics and quantitative concepts to support investment needs Build rapid solutions and software applications to meet urgency Participate in the design and documentation of technology architecture Communicate with quantitative research and technology teams and senior management Partner with quantitative research analysts to research and implement software solutions Support validation and back testing financial modeling Analyze information to determine, recommend, and plans computer software specifications on major projects Propose modifications and improvements based on user need Develop software system testing and validation procedures, programming, and documentation
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