Expanding Hedge Fund - Trade Operations & Python Automation

Robert Half Hong Kong Limited; Hong Kong Island; On-site; HKD 420,000 - 660,000; Full time

Job summary

Robert Half Hong Kong Limited is seeking an operations professional for an expanding hedge fund. You will support daily trading activities, book and validate trades, and manage settlements across the lifecycle.

The role emphasizes automation initiatives and collaboration with brokers, custodians, and internal teams. The ideal candidate has 1–5 years in relevant roles or in technology support, with a strong interest in financial markets and proficiency in Python.

Qualifications

• Bachelor's degree in finance, quantitative finance, CS, engineering or related field.
• 1–5 years of experience in operations, trade support, or similar environment.
• Strong interest in financial markets and process improvement.
• Python programming experience is highly preferred.

Responsibilities

• Trade support and monitoring across daily activities with accurate processing.
• Trade booking and validation, ensuring correct recording in systems.
• Settlement lifecycle management and timely follow-ups on outstanding items.
• Daily reconciliations, investigating breaks and discrepancies.
• Manage corporate actions, cash movements, and funding requirements.
• Coordinate with brokers, custodians, and internal teams for inquiries.
• Review workflows, document procedures, and improve controls.
• Contribute to automation initiatives to streamline processes.

Skills

Python

Data analysis

Problem solving

Stakeholder communication

Education

Bachelor's degree in Finance

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Mathematics

Bachelor's degree in Information Systems

Job description

Expanding Hedge Fund - Trade Operations & Python Automation

My client is a fast-growing hedge fund looking to hire a dynamic operations professional. This role offers exposure to the full trade lifecycle while also providing opportunities to improve processes and drive automation initiatives.

They are ideally looking for someone with strong coding skills or a background in Computer Science, Engineering, or a related discipline. The successful candidate will be a proactive problem solver who thrives in a fast-paced, high-performance environment.

The Role

• Trade Support & Monitoring: Support daily trading activities across various products, ensuring trades are processed accurately and issues are resolved in a timely manner.
• Trade Booking & Validation: Review and maintain transaction records, ensuring all trade details are captured correctly and reflected in internal systems.
• Settlement & Lifecycle Management: Coordinate post-trade activities, monitor settlements, and follow through on outstanding items to ensure smooth completion of transactions.
• Reconciliations & Controls: Perform daily reconciliations, investigate breaks or discrepancies, and work closely with relevant teams to achieve timely resolution.
• Corporate Actions & Cash Management: Manage corporate action events, cash movements, funding requirements, and related operational activities throughout the transaction lifecycle.
• Stakeholder Coordination: Liaise with brokers, custodians, counterparties, and internal teams to handle inquiries, resolve issues, and maintain efficient operational processes.
• Process Improvement & Documentation: Review existing workflows, document procedures, and identify opportunities to enhance controls and operational efficiency.
• Automation & Technology Initiatives: Contribute to automation projects by leveraging coding and analytical skills to streamline manual processes and improve scalability across the operations function.

Your Profile

• Bachelor's degree in Finance, Quantitative Finance, Computer Science, Engineering, Mathematics, Information Systems, or a related discipline.
• 1-5 years of experience gained in operations, trade support, business analysis, technology support, or a similar environment.
• Strong interest in financial markets, operations, and process improvement.
• Good understanding of trade lifecycle and operational workflows would be advantageous.
• Programming experience in Python is highly preferred.
• Strong analytical mindset with the ability to investigate issues and propose practical solutions.
• Comfortable working with data and identifying opportunities for automation and efficiency gains.
• Effective communication skills and ability to work with multiple stakeholders.
• Self-motivated, detail-oriented, and able to thrive in a fast-paced environment.