Quantitative Research Analyst – Client Analytics
Core
Designing, developing, and improving quantitative models and applications for client portfolio diagnostics, optimization, and asset management.
Role type
Quantitative Research Analyst (Client Analytics)
Builds
Client analytics models, applications, and customized asset allocation studies
Domain
Fixed income and credit asset management
Deliverable
production ML models | product features
Required skills
Python, quantitative modeling, portfolio theory, statistics, data science, financial markets knowledge, system implementation
Preferred skills
Mentorship of junior staff, thought leadership contribution
Technologies
Python, cloud platforms
Responsibilities
Designing and improving client analytics models and applications; Collaborating with core Technology to ensure scalability; Contributing to customized asset allocation and portfolio construction studies; Supporting research in asset allocation, optimization, and trading signals; Continuously improving quant models and datasets; Mentoring junior quants and technologists