Factor Analytics Product Specialist
MSCI Inc.
Key Responsibilities
- Conduct prospective client trainings and demo proof of concepts of comprehensive Multi-Asset Class solutions to allow clients to visualize product features.
- Develop and configure standard/bespoke automated workflows based on MSCI APIs with different wrappers supported within MSCI infrastructure.
- Gather business requirements from clients and translate them into technical and functional requirements.
- Keep up to date with new features and enhancements being introduced in MSCI product and services.
- Liaise with the sales team to understand prospective client requirements and set up client data to demonstrate the value add of MSCI Multi Asset Class solutions.
- Understand how modelling and mapping configuration choices affect the risk and performance results delivered in solutions.
- Ensure proper setup of client data with proper rules for term and condition enrichment of portfolio holdings.
- Collaborate with stakeholders to communicate development requirements to MSCI product management teams.
- Effectively communicate solution requirements to MSCI teams and clients using comprehensive documentation.
- Share best practices across different client use cases based on current and potential MSCI products and solutions.
Requirements & Tech Stack
- Very strong technical, analytical, and quantitative skills.
- Excellent communication (verbal and written) and presentation skills.
- Client relationship management experience in the financial services industry.
- Strong time management skills with the ability to handle multiple projects.
- 0.6 - 2 years of experience in developing and deploying microservices and solutions, preferably in performance attribution, portfolio management or risk management functions.
- Ability to work autonomously and within a team.
- Hands-on experience with programming and data visualization tools like, python, Spotfire, Power BI, tableau is a must.
Qualifications
- Bachelor’s Degree in engineering/quantitative background/computer science/finance/economics/mathematics.
- Master’s Degree is preferred.
- Professional qualifications such as a CFA charter holder, FRM (Financial Risk Manager) is a plus.