Quantitative Performance Analyst
Core
Modernize the investment analytics platform to calculate, analyze, and communicate investment performance across global products using scalable technology, automation, and AI-enabled workflows.
Role type
Quantitative Performance Analyst (Analytics & Automation)
Builds
Automated reporting pipelines, reconciliation tools, monitoring solutions, and reusable Python libraries for investment analytics.
Domain
Financial Services / Investment Performance & Reporting
Required skills
Python, SQL, Investment Performance Measurement, GIPS Standards, Regulatory Reporting, Data Validation, API Integration, Data Modeling
Preferred skills
CTEs, Window Functions, Stored Procedures, Data Modeling, REST/JSON/XML, Version Control, Investment Analytics, Financial Technology
Technologies
Python, SQL, Vermilion, Morningstar, SS&C, REST, JSON, XML, APIs
Responsibilities
Prepare accurate and timely performance analytics and reporting for clients, funds, and regulators; Support the design, development, and maintenance of Python-based applications and automation solutions; Write and maintain SQL queries for investment analytics and data validation; Collaborate with cross-functional teams to support reporting readiness for new client launches; Document business processes, methodologies, and technical designs.
Seniority
Mid-level, hands-on IC
