Quantitative Performance Analyst
Core
Modernize the investment analytics platform to calculate, analyze, and communicate investment performance across global products, clients, and investment professionals.
Role type
Quantitative Performance Analyst (Analytics & Automation)
Builds
Automated reporting pipelines, reconciliation tools, monitoring solutions, and internal Python applications for investment analytics.
Domain
Asset Management / Investment Performance / Financial Technology
Required skills
Investment performance measurement, Attribution methodologies, GIPS standards, Regulatory reporting, Python, SQL, API integration, Data validation, Process automation, Stakeholder collaboration
Preferred skills
Investment reporting experience, Vermilion/Morningstar/SS&C platform exposure, Git/GitHub, AI-assisted development, Power BI
Technologies
Python, SQL, REST, JSON, XML, Vermilion, Morningstar, SS&C, Bloomberg, Power BI, Git
Responsibilities
Prepare accurate performance analytics and reporting for clients, funds, and regulators; Support research into performance methodologies; Design and maintain Python-based automation solutions; Write SQL queries for data validation and analytics; Collaborate with cross-functional teams on reporting readiness and platform enhancements; Document business processes and technical designs.
Seniority
Mid-level, hands-on IC
