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Job Description
- Lead the development and implementation of advanced quantitative models for investment and trading strategies.
- Oversee and mentor a team of quantitative researchers and analysts, fostering a culture of innovation and collaboration.
- Conduct rigorous data analysis to identify market trends, inefficiencies, and opportunities for alpha generation.
- Collaborate closely with portfolio managers, traders, and technology teams to integrate quantitative models into investment processes.
- Design, backtest, and validate systematic trading strategies using large datasets and statistical techniques.
- Monitor and refine existing models to ensure optimal performance and risk management.
- Present research findings and strategic recommendations to senior leadership and stakeholders.
- Stay abreast of the latest developments in quantitative finance, machine learning, and statistical modeling.
- Ensure compliance with regulatory requirements and internal risk controls in all quantitative activities.
- Drive continuous improvement in research methodologies, tools, and data infrastructure.
Job Requirements
- Minimum of 7 years of experience in quantitative research, analysis, or a related field within the financial industry.
- Proven track record of developing and implementing successful quantitative models and strategies.
- Strong leadership skills with experience managing and mentoring quantitative teams.
- Expertise in statistical analysis, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Deep understanding of financial markets, instruments, and trading mechanisms.
- Excellent problem-solving abilities and attention to detail.
- Strong communication skills, with the ability to present complex concepts to both technical and non-technical audiences.
- Experience with large-scale data analysis and high-performance computing environments.
- Ability to work effectively in a fast-paced, collaborative, and intellectually rigorous environment.
