Prediction Market Analyst

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.

IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.

Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.

The team is responsible for the company's proprietary trading, which includes market making on ForecastEx, after hours US stock market making and support for our option market making in India and Hong Kong. In addition we engage in trading activities that reduce the company's overall risk exposure.

The person will support market-making activities across stocks, forex, futures, and options, with the group’s current focus being on the binary options offered on the ForecastEx exchange. The support involves overseeing the activity and updates of the automated trading systems, looking for anomalous activity and tuning input parameters to control the activity.  The support systems use the Linux shell, along with some web-based interfaces.

The team is looking for a motivated individual who either already has the below experience and skills or is willing to learn on the job.

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  Options trading experience, especially options market making experience.

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  Data analysis using Python libraries (e.g., Pandas, Statsci)
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  Linux shell

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  At least a bachelor’s degree (a science, economics, or engineering degree, with math, physics, or computer science preferred). A master’s or PhD degree would be a plus.

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.