Data Analyst (Reconciliation | Alternative Investments) (225-1016)

The Data Analyst specializing in Reconciliation for Alternative Investments is a pivotal role within our financial services team. The successful candidate will be responsible for ensuring transactional accuracy and data integrity across various alternative investment portfolios. With a keen eye for detail, the Data Analyst will be instrumental in developing and implementing reconciliation processes that enhance operational efficiencies and compliance standards. This role demands a proactive problem solver who can navigate complex datasets and provide clear, actionable insights to senior stakeholders. An understanding of alternative investment vehicles such as hedge funds, private equity, or real estate investments is essential, along with proficiency in data analysis tools and techniques.

Responsibilities

• Conduct daily, weekly, and monthly reconciliation of complex investment accounts.
• Identify, research, and resolve discrepancies in transactional data promptly.
• Develop and maintain efficient reconciliation processes and reporting tools.
• Collaborate with portfolio managers to ensure data accuracy and reliability.
• Prepare detailed reports and communicate findings to senior management.
• Monitor alternative investment portfolios and provide strategic insights.
• Work with IT teams to implement software solutions for data management.
• Coordinate with external parties to resolve any outstanding reconciliation issues.
• Ensure compliance with regulatory standards and internal policies.
• Analyze data trends to identify potential risks and opportunities.
• Participate in cross-functional projects to enhance data systems efficiency.
• Stay updated on industry best practices in data management and reconciliation.

Requirements

• Bachelor’s degree in Finance, Data Science, or a related field.
• Minimum of two years experience in a similar data analysis role.
• Strong understanding of alternative investments like hedge funds and private equity.
• Proficiency in data analysis tools such as SQL, Excel, and BI software.
• Excellent problem-solving skills with a high level of attention to detail.
• Ability to communicate complex information clearly to non-technical stakeholders.
• Experience in developing reconciliation processes and improving efficiencies.