One of my more successful clients is looking to add an experienced Equity Alpha Quant Researcher to join our team, specializing in mid-frequency statistical arbitrage strategies. In this role, you will be responsible for developing and implementing quantitative models to identify and exploit inefficiencies in equity markets. The ideal candidate will have a strong background in quantitative research, statistical analysis, and financial modeling.
Key Responsibilities:
- Develop and implement mid-frequency statistical arbitrage strategies in equity markets.
- Conduct quantitative research to identify alpha-generating opportunities.
- Analyze large datasets to build predictive models and trading algorithms.
- Continuously monitor and refine strategies based on market conditions and performance metrics.
- Collaborate with other researchers and developers to enhance the trading infrastructure.
- Implement robust risk management techniques to manage and mitigate trading risks.
- Stay current with the latest market trends, research methodologies, and technological advancements.
- Document research findings and present results to the team.
Qualifications:
- Bachelor's degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or a related discipline.
- Proven experience in equity markets and mid-frequency trading strategies.
- Strong programming skills in languages such as Python, R, or MATLAB.
- Proficiency in statistical analysis, machine learning, and data modeling techniques.
- Excellent problem-solving skills and attention to detail.
- Ability to work effectively in a collaborative and fast-paced environment.
- Strong communication skills to explain complex concepts clearly.
Preferred Qualifications:
- Advanced degree (Master's or Ph.D.) in a relevant quantitative field.
- Experience with statistical arbitrage and equity alpha strategies.
- Familiarity with financial databases and data sources.
- Proven track record of developing profitable trading strategies.
