
About Chicago Trading Co
Where trading meets technology and integrity
Key Highlights
- Founded in 1995, with over 200 employees
- Specializes in quantitative trading and market-making
- Headquartered in Chicago, formerly a trading floor
- Manages billions in assets across multiple asset classes
Chicago Trading Co, founded in 1995, is a proprietary trading firm specializing in quantitative trading strategies and market-making. Headquartered in Chicago, the firm leverages advanced technology and data analytics to execute trades across various asset classes, including equities and derivatives...
🎁 Benefits
Employees enjoy competitive salaries, performance-based bonuses, comprehensive health benefits, and a generous PTO policy. The firm also offers equity...
🌟 Culture
Chicago Trading Co fosters a culture of integrity and entrepreneurial spirit, encouraging collaboration among traders, quants, and technologists. The ...
Skills & Technologies
Overview
Chicago Trading Co is hiring a Senior Data Scientist to advance research and optimize trading strategies in the systematic vol trading space. You'll work with large datasets and collaborate closely with Quant Researchers and Engineers. This role requires expertise in Python, SQL, and machine learning techniques.
Job Description
Who you are
You have 5+ years of experience in data science, particularly in the finance or trading sectors, where you've developed a strong understanding of statistical analysis and machine learning techniques. Your proficiency in Python and SQL allows you to manipulate and analyze large datasets effectively, ensuring data integrity and accuracy in your analyses. You thrive in collaborative environments, working closely with cross-functional teams including Quant Researchers and Engineers to drive insights and optimize trading strategies.
You possess a keen analytical mindset, capable of performing exploratory and detailed data analysis to uncover trends and insights that inform trading decisions. Your experience includes building data pipelines and designing validation metrics, ensuring that datasets are not only accurate but also useful for downstream applications such as alpha generation and backtesting. You are comfortable engaging with various functions within the organization, understanding the importance of data in enhancing trading systems.
Desirable
Experience with backtesting platforms and trading systems is a plus, as is familiarity with financial markets and risk management principles. You are eager to learn and adapt to new technologies and methodologies, continuously seeking to improve your skills and contribute to the team's success.
What you'll do
In this role, you will perform exploratory data analysis to provide insights and quality checks into the datasets used for trading strategies. You will build and maintain data pipelines, ensuring the correctness and maintenance of datasets that are critical for trading operations. Your work will involve developing derived datasets with relevant metrics that integrate seamlessly for downstream applications, including alpha generation and production trading systems.
You will collaborate closely with Quant Researchers to optimize trading strategies, leveraging your analytical skills to provide actionable insights. Engaging with Engineers, you will ensure that the data infrastructure supports the needs of the trading team, facilitating efficient data flow and accessibility. Your contributions will directly impact the firm's ability to price and manage risk effectively in the markets.
What we offer
At Chicago Trading Co, you will be part of a cutting-edge proprietary trading firm that values innovation and ethical excellence. We foster a fun and trusting culture that encourages collaboration and calculated risk-taking. You will have the opportunity to work with a team of forward-thinking professionals dedicated to solving the industry's most challenging problems. We believe in making a positive impact on the markets and the communities we serve, and we encourage you to apply even if your experience doesn't match every requirement. Join us to advance your career in a dynamic and supportive environment.
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