Intern, Middle Office Operations (AI/Automation Focus) – 6 months

About the Role We are a dynamic and fast-growing multi-strategy hedge fund with global operations, currently expanding our Platform (Middle Office) function. Our lean, collaborative team offers significant opportunities for personal and professional growth. We are seeking a highly motivated Year 3 or Year 4 undergraduate student or recent graduate, ideally with a background in AI, to support daily trade operations across multiple asset classes and help build automation and AI-driven tools to improve the team’s workflows. This is a hands-on role for someone who thrives in a fast-paced, entrepreneurial environment and is eager to grow with the business. Key Responsibilities Assist with daily middle office workflows, including trade capture, lifecycle events, and reconciliation of positions and cash. Support start-of-day and end-of-day (SOD/EOD) trade and position checks, monitor the middle office inbox and alerts, and escalating items requiring action. Support broker and clearer onboarding, including tracking give-up agreements (GUA) and related documentation, and maintain trackers (e.g. GUA, IPO, settlements). Assist with commission, fee and invoice processing, corporate actions, and periodic activities such as interest rate swap (IRS) compression, under supervision. Help process trade confirmations and settlement instructions, and manage related documents and paperwork under supervision. Assist with exception handling and issue resolution across trading desks and with counterparties, following established procedures. Develop and maintain tools to automate workflow and efficiency, such as SOD/EOD checks, trade and position file downloads, broker invoice filing, and expiry reminders, using Python, VBA, Power Automate and AI/LLM tools, while maintaining appropriate human review and oversight. Support data analysis and reporting for risk, performance and operational dashboards under the guidance of senior staff. Collaborate with technology and business teams on system improvements as directed. Document procedures, processes and system changes on platforms such as Confluence for use by the team and future interns. Respond to ad hoc requests and regulatory/compliance data needs as assigned. Help the team meet daily deadlines while maintaining quality and accuracy. Key Requirements Year 3 or Year 4 undergraduate student studying finance, economics, mathematics, computer science, data science, AI or a related field, based in Hong Kong or Singapore. Recent graduates are also welcome to apply. A background in AI or machine learning through coursework, projects or internships is strongly preferred, particularly experience with LLMs, prompt engineering or AI-based workflow automation. Proficiency in Python, SQL or similar programming or query languages for automation and data handling. Excel proficiency is required; experience with VBA or Power Automate is a plus. A solid foundation in finance, including an understanding of the trade lifecycle, financial instruments and basic risk concepts. Exposure to derivatives is a plus. Strong analytical and organizational skills, with close attention to detail. Ability to work under pressure, manage multiple tasks, and meet tight deadlines. Effective communication and teamwork skills, with a willingness to learn and collaborate. Availability for a full-time, six-month internship. Willingness to perform supervised manual processing and administrative tasks as part of the team’s daily workflows. What We Offer The opportunity to join a high-performing, collaborative team at the heart of Asia's financial hub. Hands-on exposure to multi-asset trade operations and cutting-edge investment strategies. Real automation and AI projects with a tangible impact on the team's workflow. Competitive remuneration and opportunities for professional development within a rapidly growing fund. The opportunity to work closely with senior leadership and contribute to the team’s operational improvements. Arrowpoint is committed to providing equal employment opportunities and fostering an inclusive working environment. Employment decisions are made based on merit, qualifications and business requirements, without regard to characteristics protected under applicable law. By submitting an application, candidates acknowledge that their personal information may be collected, used and processed by Arrowpoint for recruitment and related purposes in accordance with applicable data protection requirements.