Financial Data Associate
MSCI · Sofia
The team is responsible for supporting MSCI’s Market Market Intelligence, enabling high-quality data ingestion, document processing, data extraction workflows, and the delivery of AI-enhanced data outputs to internal and external stakeholders. The team partners closely with Technology, Data Operations, Product, and Client Service to ensure that AI-driven processes are accurate, scalable, and aligned with business needs. We oversee data governance, exception handling, and the operationalization of AI models used across MSCI’s analytics and client platforms.
- Support daily operations of the Market Data team, including document management, data extraction workflows, and data delivery.
- Configure and maintain client setups and GP access, ensuring accurate and timely data availability.
- Monitor AI-driven data extraction, enrichment, and classification processes; validate outputs and manage exceptions.
- Assist in training, tuning, and supervising AI models, ensuring they meet quality, transparency, and governance requirements.
- Collaborate with cross-functional teams to troubleshoot issues, improve data pipelines, and enhance platform performance.
- Ensure compliance with data standards, auditability, and operational controls as AI processes evolve.
Translate operational insights into actionable recommendations for product and technology teams, influencing platform roadmap decisions. - Identify, scope, and lead operational improvement initiatives, including automation of manual workflows, reduction of exception rates, and scalability enhancements.
- Produce reporting and analytics on platform performance, operational KPIs, and AI model effectiveness for senior stakeholders.
- Serve as a subject matter expert on private capital data, document processing methodologies, and AI-assisted data workflows within the team and across the organization.
- Bachelor’s degree in a relevant field (data science, computer science, finance, engineering, or similar).
Minimum of 2 years of experience in data operations, data management, document processing, or a related financial services role. - Familiarity with AI/ML workflows, including model outputs, data validation, and supervised training processes.
Strong analytical and problem-solving skills with the ability to manage exceptions and make judgment-based decisions that AI cannot automate. - Ability to work with cross-functional teams and support client-related configuration, troubleshooting, and data delivery.
- Knowledge of private capital data, or other investment operations datasets is an advantage.
- Excellent communication skills and attention to detail, especially when overseeing AI-assisted processes and ensuring data accuracy.
- Knowledge of private capital data, fund administration, or investment operations datasets.