Deskripsi Pekerjaan
Join Macquarie Group, a global financial leader, as a Senior Quantitative Analyst specializing in Equities. In this pivotal role, you'll drive innovation by researching and developing sophisticated systematic investment strategies that capitalize on market inefficiencies. Collaborate with cross-functional teams to translate complex data into actionable insights, leveraging cutting-edge quantitative techniques to optimize portfolio performance. You'll work in a dynamic environment where your analytical expertise directly influences investment decisions, requiring continuous model refinement and validation against real-world market conditions. Macquarie offers unparalleled resources for professional growth, including access to proprietary datasets and advanced computational infrastructure. This position demands a blend of academic rigor and practical application, ideal for professionals passionate about shaping the future of quantitative finance.
Tanggung Jawab
- Design and implement systematic equity investment strategies using advanced statistical and machine learning techniques
- Conduct rigorous backtesting and validation of quantitative models to ensure robust performance
- Analyze large-scale financial datasets to identify market anomalies and alpha-generating opportunities
- Develop and maintain quantitative libraries for signal generation, risk modeling, and portfolio optimization
- Collaborate with portfolio managers to integrate quantitative insights into investment decision-making
- Present complex research findings to senior stakeholders through clear, data-driven narratives
- Stay current with academic research and industry advancements to maintain competitive edge
Kualifikasi
- Master's or PhD in Quantitative Finance, Mathematics, Statistics, or Computer Science
- 5+ years of experience in quantitative research or algorithmic trading within financial services
- Expertise in Python/R/C++ with strong skills in statistical modeling and time series analysis
- Deep understanding of equity markets, microstructure, and factor-based investing
- Proficiency in handling large datasets using SQL, Hadoop, or cloud-based platforms
- Demonstrated ability to translate complex mathematical concepts into practical trading strategies
- Strong problem-solving skills with experience in model development and risk management frameworks