What are the responsibilities and job description for the Junior Quantitative Analyst (Equities) position at Millennium Management?
Junior Quantitative Analyst (Equities)Job Summary We are seeking a motivated and detail-oriented Junior Quantitative Analyst to join our equities team. The ideal candidate will have 2-3 years of experience in the equities space and a strong foundation in quantitative analysis. This role offers an excellent opportunity to work with experienced professionals and contribute to the development of cutting-edge investment strategies.Key Responsibilities Data Analysis : Collect, clean, and analyze large datasets related to equity markets.Back testing & Model Development : Assist in the development and implementation of quantitative models to support trading strategies and investment decisions.Performance Monitoring : Monitor and evaluate real-time & historical performance of quantitative models and trading strategies.Reporting : Prepare automated reports on model performance, and market conditions and performance drivers.Collaboration : Work closely with senior analysts, portfolio managers, and other team members to support the investment process.Qualifications Education : Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. A Master’s degree is a plus.Experience : 2-3 years of experience in quantitative analysis within the equities trading.Technical Skills : Strong programming expertise in any language, with working knowledge of Python. Experience with SQL and data visualization is a plus.Analytical Skills : Strong analytical and problem-solving skills with the ability to interpret complex data and generate actionable insights.Attention to Detail : High level of accuracy and attention to detail in all aspects of work.Preferred Qualifications Knowledge of financial instruments, market microstructure, and trading strategies.Familiarity with risk management principles and practices.Working knowledge of quantitative finance tools such as optimizations, risk models, and regression analysis#J-18808-Ljbffr
