Client Guideline Reporting Analyst

Responsibilities:

• Review Investment Management Agreements (IMAs) to interpret, document, and implement client investment guidelines.
• Maintain and update investment restrictions within the firm's guideline monitoring platform, Sentinel.
• Provide real-time pre-trade support to investment professionals, ensuring proposed transactions align with client mandates and investment restrictions.
• Investigate, analyze, and resolve post-trade compliance exceptions generated by the guideline monitoring system.
• Collaborate closely with Investment Operations, Portfolio Management, Product Management, and Global Relationship teams to address guideline-related inquiries and resolve issues.
• Develop and maintain a strong understanding of investment strategies, client mandates, and applicable regulatory requirements.
• Ensure the accuracy and integrity of guideline data while identifying opportunities to enhance processes and improve operational efficiency.

Qualifications:

• Bachelor's degree in Finance, Business, Economics, or a related field required.
• Minimum of 1 year of experience in investment operations, compliance, financial services, or a related field; relevant internship experience will also be considered.
• Foundational knowledge of investment products, including equities, fixed income securities, and derivatives.
• Prior experience with investment guideline monitoring, portfolio compliance, or regulatory requirements is preferred, but not required.
• Strong analytical, critical thinking, and problem-solving abilities with exceptional attention to detail.
• Excellent organizational and time management skills, with the ability to manage multiple priorities and meet deadlines in a fast-paced environment.
• Self-motivated and results-oriented, with the ability to work independently as well as collaboratively within a team environment.
• Strong interpersonal, verbal, and written communication skills.
• Advanced proficiency in Microsoft Office applications, particularly Excel and Word.
• Exposure to SQL, Python, AI tools, or other data analysis technologies is a plus, but not required