CTC is a cutting-edge proprietary trading firm with a long-term vision and a clear focus on helping the world price and manage risk. Our fun and trusting culture inspires us to solve the industry’s most challenging problems and take calculated risks in a collaborative environment.
We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better.
Join our team as a Data Scientist in the systematic vol trading space, to advance research, grow trading, and expand strategies. You will work on large amounts and broad varieties of data. You will work closely with Quant Researchers, Engineers, and Traders to optimize trading strategies by owning and maintaining useful datasets. You will also have exposure to multiple functions throughout the organization including backtesting platforms and trading systems.

What You’ll Do

• Perform exploratory, detailed, and statistical data analysis to provide insights and quality checks into the datasets.
• Build data pipelines, design validation metrics, and own the correctness and maintenance of the datasets.
• Develop derived datasets with relevant metrics and integrate datasets for downstream applications such as alpha generation, backtests, and production trading systems.
• Engage with quant researchers in trading desks and engineers in central data teams to understand the characteristics of the datasets.
• Contribute to the improvement and innovation of trading strategies by providing critical data insights.
• Ensure that data handling processes are flawless and strictly follow industry standard methodology.
• Successfully implement solutions that improve data quality and accessibility for the entire organization.

What We’re Looking For

• 5 - 7 years of financial industry experience.
• A proven commercial approach and enthusiasm for collaborating directly with quants and risk managers.
• Outstanding oral and written communication skills and a great teammate.
• Strong knowledge of financial market data. Knowledge of options trading data is a big plus.
• Expertise in writing robust production code in Python for data tasks with proficiency in object-oriented design and emphasis on testing and monitoring.
• Experience in wrangling and manipulating large-scale data efficiently with pandas or numpy, and adept at addressing data issues.
• Experience with data ETL processes and writing SQL queries is a big plus.
• Familiarity with job scheduling tools like Airflow is advantageous.
• Knowledge of Linux is a plus.

• Perform exploratory, detailed, and statistical data analysis to provide insights and quality checks into the datasets.
• Build data pipelines, design validation metrics, and own the correctness and maintenance of the datasets.
• Develop derived datasets with relevant metrics and integrate datasets for downstream applications such as alpha generation, backtests, and production trading systems.
• Engage with quant researchers in trading desks and engineers in central data teams to understand the characteristics of the datasets.
• Contribute to the improvement and innovation of trading strategies by providing critical data insights.
• Ensure that data handling processes are flawless and strictly follow industry standard methodology.
• Successfully implement solutions that improve data quality and accessibility for the entire organization