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Quantitative Solutions Engineer at iA Global Asset Management
Job Description & How to Apply Below
As part of the Data Science function, you'll partner with investment teams to develop efficient, scalable solutions aimed at transforming quantitative research into actionable insights. Your expertise will help standardize processes and integrate innovative AI features, ensuring comprehensive support for investment analytics.
Key Responsibilities:
• Co-design investment workflows and solutions
• Develop production-ready analytics systems
• Standardize and maintain quantitative engineering practices
• Collaborate on building reliable data ingestion pipelines
• Identify and propose AI-enhanced workflow solutions
Requirements:
• 5+ years of relevant software experience
• Strong Python development skills
• Experience in analytics-heavy or quantitative domains
• Knowledge of traditional financial methodologies
• Familiar with cloud tools and orchestration practices
Elevate your career by blending technology and finance at iAGAM.
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