Performance Market Data Analyst

Overview

• Collaborate with investment, reporting, and technology teams to enhance performance reporting and strategic analytics processes.
• Drive standardization and scalability of reporting processes across various credit strategies.
• Lead complex, long-term projects focused on process automation and evolving requirements.
• Provide analytical support to senior management for informed business decisions.
• Design and implement scalable data/reporting infrastructure in collaboration with engineering teams.
• Respond to portfolio manager and investor data needs with timely, high-quality analysis.
• Work in a fast-paced, dynamic environment promoting teamwork and individual responsibility.
• Contribute to a culture of learning and adaptability within an open communication layout.

Key Responsibilities & Duties

• Lead strategic reporting initiatives to enhance data quality and governance practices.
• Develop and maintain advanced SQL queries for financial data analysis.
• Collaborate with developers to implement scalable reporting solutions using Python, Power BI, and Databricks.
• Leverage LLMs to automate routine data tasks and synthesize market data insights.
• Translate quantitative findings into actionable insights for non-technical stakeholders.
• Support portfolio managers with macro market data analysis for strategic decision-making.
• Ensure documentation and validation of data processes align with best practices.
• Foster cross-training and open communication within a collaborative team environment.

Job Requirements

• Bachelor of Science degree with 4–6 years of experience in financial data/analytics roles.
• Proficiency in SQL, with additional experience in Python, Power BI, and Databricks preferred.
• Strong project management skills and ability to collaborate with technical teams.
• Experience with large-scale financial datasets and translating findings for stakeholders.
• Knowledge of data quality validation, governance, and documentation practices.
• Familiarity with Prompt Engineering and leveraging LLMs for data task automation.
• CFA certification or willingness to pursue CFA is preferred.
• Excellent communication skills and ability to adapt in a dynamic environment.