AI/ML Job: Machine Learning Data Scientist

Wolverine Trading

Machine Learning Data Scientist at Wolverine Trading

🇺🇸 United States › Illinois › Chicago   (Posted Jul 19 2018)

About the company
Founded in 1994, the Wolverine companies comprise a number of diversified financial institutions specializing in proprietary trading, asset management, order execution services, and technology solutions. We are recognized as a market leader in derivatives valuation, trading, and value-added order execution across global equity, options, and futures markets. With a focus on innovation, achievement, and integrity, we take pride in serving the interests of both our clients and colleagues. The Wolverine companies are headquartered in Chicago with offices in New York and San Francisco and a proprietary trading affiliate office located in London.

Job position
Permanent

Job description
We are looking for a Statistical Machine Learning expert to be a member of our Quantitative Research team. You will be using large data sets to create trading strategies, improve trading, quantitative research and data mining. This work will be challenging, fast-paced, and competitive. You will collaborate with quants and traders to develop and improve trading strategies.

Responsibilities

• Monitor development of new and existing data sets

• Collaborate with other traders and team

• Improve existing models with new learning algorithms, alternative feature transformations, feature selection techniques, improved evaluation metrics, and increased model diversity

Skills & requirements
• 2+ years of application development and implementation experience (C++, Python, R or Matlab)

• 5+ years of machine learning related experience

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems

• Exceptional programming skills

• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines

• Capable of managing large data sets and developing statistical models

• Interested in applying machine learning within trading

• Masters or PhD in Statistics, Physics, Applied Mathematics Computer Science/Machine Learning, or other highly quantitative field (or related subject)

• Desire to work within a collaborative, team-driven environment

• Good communication skills

• Preferred financial background, but will consider those from non-financial backgrounds.

Apply now!  
 

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