Analytics Engineering & Implementation
- Design, develop, and enhance analytics APIs and backend services for our Analytics products
- Transform quantitative models, research outcomes, and prototypes into production-ready Python code
- Further develop our analytics production and data processing environment
- Build robust and scalable software components for analytical calculations
- Collaborate closely with Quantitative Specialists to operationalize new models and methodologies
- Develop and maintain interfaces to databases, internal platforms, and downstream systems
- Process, transform, and make financial, fund, and portfolio data available
- Analyze and optimize data flows and analytics processes
- Ensure reliable, efficient, and scalable execution of analytical calculations
- Ensure the ongoing quality assurance of quantitative model outputs for internal and external stakeholders
- Support the onboarding of new clients in relation to our analytics products and models
- Analyze and resolve complex technical issues in production environments
- Create and maintain technical documentation
- Collaborate with Quantitative Specialists, Product Managers, Engineering, and Operations teams
- Translate business and quantitative requirements into technical solutions
- Contribute to architectural decisions and technical concepts
- Evaluate and integrate new technologies and development approaches
