Fund Accounting Manager

Fund Accounting Conversion/Fund Events Manager We are seeking a dynamic and highly motivated Fund Accounting Conversion/Fund Events Manager to join our Fund Services team. This is a unique hybrid role that combines the responsibilities of a Fund Accounting Conversion/Fund Events Manager, and a Data Analyst. The ideal candidate will possess a strong background in fund accounting, coupled with advanced data analysis and Artificial Intelligence (AI) skills, including proficiency in Python and experience with platforms like Dataiku. This role is critical in supporting the successful migration of funds, managing complex fund events, and leveraging data and AI to enhance operational efficiency and client satisfaction. This role will require you to work on key projects, mentor junior analysts, and contribute to the strategic initiatives of the department. Responsibilities: Support the end-to-end conversion of funds, including planning, data mapping, validation, and reconciliation. Act as a key point of contact for clients and internal stakeholders during the conversion process. Contribute to the development and maintenance of detailed project plans. Assist in identifying and mitigating risks associated with fund migrations, ensuring a seamless transition for clients. Fund Events: Analyze and process complex fund events, including but not limited to mergers, in-kinds, in-specie transfers, and other ad-hoc events, ensuring they are accurately reflected in the fund's accounting records. Liaise with custodians, fund managers, and other third parties to resolve any discrepancies or issues related to these fund events. Stay abreast of market changes and regulatory requirements that may impact fund events. Data Analysis & AI-Driven Automation: Utilize the Dataiku platform and Python to perform in-depth analysis of large datasets and apply AI/Machine Learning models to solve business problems. Design and build automated solutions and ETL (Extract, Transform, Load) pipelines to streamline manual processes, improve accuracy, and increase efficiency. Develop interactive dashboards and reports to provide actionable insights to senior management and clients. Proactively identify opportunities for process improvements and innovation through data-driven and AI-powered analysis. Qualifications: 5-8 years of experience in fund accounting, fund administration, or a related role within the financial services industry. Demonstrated experience with fund conversion or implementation projects. Strong understanding of various fund structures (e.g., mutual funds, hedge funds, private equity) and financial instruments, including various asset types such as equities, fixed income, asset-backed securities, inflation-protected securities, exchange-traded derivatives, and over-the-counter (OTC) derivatives (including swaps like TRS, CDX, CDS) and Bank Loans. Experience handling complex fund events such as mergers, in-kinds, and in-specie transfers. Proficiency in Python for data manipulation and analysis (e.g., using libraries like Pandas, NumPy). Hands-on experience with data analytics and machine learning platforms, specifically Dataiku. Experience with machine learning concepts (e.g., regression, classification, NLP) and applying AI/ML models to solve business problems. Strong SQL and ETL (Extract, Transform, Load) skills for data querying, extraction, and pipeline development. Excellent analytical, problem-solving, and project management skills. Exceptional communication and interpersonal skills, with the ability to engage with clients and senior stakeholders. Education: Bachelor's degree/University degree or equivalent experience #J-18808-Ljbffr