Job Title: Equities Quantitative Analyst / Intern
Position Overview:
The Equities Quantitative Analyst / Intern applies advanced mathematical, statistical, and computational techniques to develop, implement, and optimize quantitative models and trading strategies. This role involves working closely with traders, portfolio managers, and other quants to improve trading performance, manage risk, and reduce transaction costs through data-driven insights and algorithmic solutions.
Key Responsibilities:
Develop, test, and deploy quantitative models and algorithms to identify trading opportunities and optimize portfolio performance.
Analyze large datasets, including market and trading data, to extract meaningful patterns and insights.
Collaborate with traders and technologists to improve trading infrastructure and execution strategies.
Conduct rigorous back-testing, stress testing, and scenario analysis to validate model robustness and effectiveness.
Monitor and manage portfolio risk using quantitative risk management techniques.
Optimize transaction costs and market impact through model-driven trade execution improvements.
Maintain and enhance automated trading systems and tools.
Communicate complex quantitative concepts clearly to stakeholders, including traders, risk managers, and senior management.
Stay current with financial markets, quantitative research, and technological advancements.
Requirements:
Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Physics, Finance, or a related quantitative discipline.
We are looking for candidates who excel in team collaboration, uphold strong ethical standards, show a passion for learning, display leadership potential, and have a genuine interest in financial markets.
Strong programming skills in languages such as Python, C++, or R (Past projects done in Python will be given higher consideration)
Proficiency in statistical analysis, machine learning, and numerical methods.
Experience with quantitative modeling, including alpha development, risk modeling, and simulation techniques.
Understanding of financial markets, instruments (equities, derivatives, futures, FX), and trading mechanics.
Familiarity with data management, cleaning, and analysis of large datasets.
Ability to work effectively in a fast-paced, collaborative environment.
Excellent problem-solving skills and attention to detail.
Strong communication skills to explain technical concepts to non-technical stakeholders.
Work Environment:
Equities Quantitative Analysts / Interns typically work in a fast-paced, high-stakes environment, often putting in long hours per week.
Preferred Skills:
Experience with high-frequency trading or electronic trading platforms.
Knowledge of portfolio construction and optimization.
Background in algorithmic trading strategy development.
Familiarity with cloud computing and big data technologies.
Prior experience in a front-office quantitative role or hedge fund environment.
This role is ideal for candidates passionate about quantitative finance, technology, and innovation, seeking to impact trading performance and risk management through sophisticated analysis. Please send your resume to contact@everystgroup.com with the subject line mentioning the position if interested. This position will be considered in the following locations: United States, United Kingdom, India, Hong Kong, and Japan.