Quantitative Researcher, Single Stock Options Quantitative Researcher, Single Stock Options Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. A fast-growing, collaborative, and entrepreneurial systematic investment team is seeking a strong single stock options quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth. Job Description Quantitative Researcher as part of a fast-growing, collaborative team, with a focus on systematic equity options strategies. Preferred Location New York Principal Responsibilities
- Work alongside the Senior Portfolio Manager on alpha research and development for systematic equity volatility strategies, with a primary focus on:
- Idea generation
- Data gathering and pre-processing
- Research and analysis
- Model implementation and back-testing
- Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process
- Collaborate with the Senior Portfolio Manager in a transparent environment, engaging with the whole investment process
Preferred Technical Skills - Strong research and programming skills
- Python is a must
- Experience in C++, kdb/q, SQL is a plus
- Master's or PhD degree in a quantitative subject such as Applied Mathematics, Statistics,
- Computer Science, or related field from a top-tier university
- Very strong candidates with Bachelor's degrees will also be considered
- Strong abstract reasoning and independent problem-solving skills
- Excellent communication skills
Preferred Experience - 2-5 years of experience working in quantitative research/ quantitative trading capacity with a focus on mid-frequency linear equity/ equity options strategies
- Demonstrated ability to conduct independent and innovative signal research
- Experience in statistical arbitrage strategies is highly preferred
- Experience in options/ volatility is preferred but not a must
- Experience in machine learning is a plus
- Theoretical understanding of machine learning
- hands-on experience in building scalable machine learning pipelines for data extraction, feature engineering, model implementation, training, tuning, evaluation, and deployment.
Target Start Date - 12 months for exceptional candidates (strong preference for candidates who can start sooner)
Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $100,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.