Senior Quantitative Developer

Job Description

Position Description :

Develops quantitative software applications and full-stack solutions using technical tools R, Python, PL / SQL databases, and Artificial Intelligence / Machine Learning (AI / ML) toolkits. Performs analytics and builds quantitative process frameworks to support investment needs and develop new solutions. Executes probability, linear regression, time series data analysis and data science models. Designs and develops new quantitative models and products for equities, fixed income, and alternative asset classes. Ensures repeatability on projects through software development standard methodologies. Collaborates with multiple partners, includes fundamental and quantitative researchers, technology partners and senior management. Develops original and creative technical solutions to support on-going development efforts.

Primary Responsibilities :

• Develops original and creative technical solutions to support on-going development efforts.
• Designs applications or subsystems on major projects involving multiple platforms and supports a range of divisional initiatives.
• Supports and performs all phases of tests leading to implementation.
• Establishes project plans for projects of moderate scope.
• Performs independent and complex technical and functional analysis for multiple simultaneous projects.
• Analyzes information to determine, recommend, and plan computer software specifications on major projects and proposes modifications and improvements based on user need.
• Develops software system tests and validation procedures, programs, and documentation.

Education and Experience :

Bachelor’s degree (or foreign education equivalent) in Computer Science, Computational Finance, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing software applications and full-stack solutions for financial investments using R, Python, PL / SQL databases, or AI / ML techniques.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Computational Finance, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing software applications and full-stack solutions for financial investments using R, Python, PL / SQL databases, or AI / ML techniques.

Skills and Knowledge :

Candidate must also possess :

#PE1M2

Certifications :