Careers
Mars is growing.
Aggressively.
Quantitative Trader
Location: Chicago/Remote
Job Type: Full-time
Role Overview
We are seeking a highly motivated Quantitative Trader to join our dynamic team. The ideal candidate will have a strong background in quantitative analysis, financial markets, and programming, with a deep understanding of options trading strategies. As a Quantitative Trader, you will be responsible for developing, testing, and implementing systematic trading strategies while managing risk and optimizing portfolio performance.
Key Responsibilities
Develop and execute high-frequency and systematic trading strategies for options markets.
Analyze large datasets to identify market inefficiencies and trading opportunities.
Collaborate with developers and researchers to refine and optimize algorithmic trading models.
Manage risk exposure and ensure robust risk management frameworks are in place.
Conduct rigorous backtesting and performance evaluations to enhance trading strategies.
Continuously monitor market conditions and adapt strategies in real-time.
Stay updated on industry trends, market microstructure, and regulatory changes.
Qualifications
Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Computer Science, Engineering, Finance, or a related discipline.
Strong programming skills in Python, C++, or Java for strategy development and data analysis.
In-depth knowledge of options pricing models, volatility dynamics, and market microstructure.
Experience with statistical modeling, machine learning, and optimization techniques.
Proven ability to work in a fast-paced, competitive trading environment.
Excellent problem-solving skills and the ability to think critically under pressure.
Strong communication and collaboration skills to work effectively with cross-functional teams.
Quantitative Researcher
Location: Chicago/Remote
Job Type: Full-time
Role Overview
We are seeking a highly skilled Quantitative Researcher to join our research and trading team. The ideal candidate will have a deep understanding of mathematical modeling, statistical analysis, and financial markets, with a passion for developing innovative trading strategies. As a Quantitative Researcher, you will work closely with traders and developers to create and optimize systematic strategies for options trading.
Key Responsibilities
Conduct research to identify statistical patterns and inefficiencies in options markets.
Develop, test, and optimize predictive models and trading strategies using large datasets.
Utilize machine learning and advanced statistical techniques to enhance trading performance.
Collaborate with traders and engineers to implement research findings into production.
Design and conduct rigorous backtesting and performance evaluations.
Continuously monitor and refine models based on market behavior and evolving conditions.
Stay up to date with industry trends, academic research, and advancements in quantitative finance.
Qualifications
Master’s or PhD in a quantitative field such as Mathematics, Physics, Computer Science, Statistics, or a related discipline.
Strong programming skills in Python, C++, or another relevant language.
Deep understanding of probability theory, statistics, and stochastic processes.
Experience working with large datasets and high-performance computing.
Strong knowledge of options pricing models, volatility dynamics, and market microstructure.
Proven ability to work in a fast-paced, research-driven environment.
Excellent problem-solving skills and a strong analytical mindset.
Ability to communicate complex ideas effectively and collaborate in a team-oriented setting.