Quantitative Analyst (Operations/ Risk Management) - Multi Strategy Hedge Fund

at  Infini Capital Management Limited

JOB SUMMARY:

We are seeking a skilled and detail-oriented Quantitative Analyst to join our team in Abu Dhabi. The Quantitative Analyst will be responsible for supporting and optimizing our risk managment/ operational processes. The ideal candidate should possess strong programming skills, particularly in Python, and have experience in hedge fund risk management/ operations.

REQUIREMENTS

• Bachelor’s, Master’s, or, Ph.D. in Computer Science and Engineering, Information Engineering, Quantitative Finance, Risk Management, Mathematics, or a STEM-related field
• Proficient in Python, HTML, Excel Macro, or any other programming languages
• Proven experience in hedge funds risk management/ operations will be an advantage
• Excellent analytical and problem-solving skills
• Ability to work effectively both independently and as part of a team
• Fluent in English
• Fresh graduates are welcome to apply

Operations:

• Collaborate with cross-functional teams to identify operational inefficiencies and develop solutions
• Utilize programming skills, with a focus on Python, to automate operational processes and improve efficiency
• Analyze and interpret large datasets to extract insights and identify trends
• Conduct in-depth analysis of trade support activities in equities or FICC, ensuring accurate and timely processing
• Collaborate with internal stakeholders to implement operational best practices and streamline workflows
• Monitor and reconcile trade data, ensuring accuracy and compliance with regulatory requirements
• Provide support in resolving operational issues and discrepancies

Risk Management:

• Work with various business functions in a dynamic hedge fund environment
• Optimize daily information flow and margin utilization across hedge fund counterparties
• Interface with quantitative trading teams to gain an understanding of trading and risk management processes
• Interact with C-level executives and trading teams to build algorithms and systems that are crucial to day-to-day management