What are the responsibilities and job description for the Quantitative Researcher- US Equities position at Selby Jennings?
A Multi-Billion-Dollar Firm is seeking to hire a Quantitative Researcher - Volatility to join their most successful Equities Trading Team. This role offers the chance to work directly with advanced data analysis, portfolio optimization, platform development, and the operation of fully automated trading systems. The candidate will join a team where creativity, initiative, and collaboration will have a direct impact on trading profits for investors. The firm is seeking researchers with a strong track record of innovation and accomplishment in their respective fields.
Responsibilities:
- Volatility Trading: Collaborate with portfolio managers to enhance and optimize fully automated volatility arbitrage trading strategies.
- Alpha Research: Lead hypothesis-driven research to design and test predictive signals that forecast asset prices across diverse markets.
- Data Analysis: Extract and analyze large-scale structured and unstructured datasets, uncovering patterns and anomalies that drive informed trading decisions.
- Statistical Modeling: Develop and refine machine learning and optimization systems to improve prediction accuracy and manage portfolio risk effectively.
- Research Tools: Design and maintain advanced tools and software that support data analysis, modeling, portfolio simulation, and seamless trade execution.
Requirements:
- 2-5 years of experience as a volatility trader or researcher, specializing in single-stock equities or dispersion strategies.
- A Bachelor's or advanced degree in Computer Science, Mathematics, Statistics, Engineering, Physics, Operations Research, or a related field.
- Proven ability to think critically and independently, develop innovative solutions to complex challenges, and communicate these ideas effectively through verbal, written, and visual formats.
- Exceptional analytic, mathematical, and statistical modeling skills, with a demonstrated track record in real-world research projects or through code repositories.
- Strong programming skills in R, Python, and/or Java, along with expertise in databases and query languages.
- Deep passion for financial markets, investing, and trading, with a keen interest in staying ahead of industry trends.
Salary : $150,000 - $250,000
