Algorithm Developer and Statistical Modeler

Algorithm Developer and Statistical Modeler

Location: Old Toronto

Salary: CAD 100,000 - 125,000

Our client is a well-established leader in online sports gaming with a Technical Centre of Excellence at Yonge and Sheppard. They have engaged ROSS to help them recruit an Algorithm & Machine Learning Developer.

You must be available to spend 1-2 months in Curacao (in the Caribbean) to receive extensive training about the sports gaming domain. Of course, all your expenses will be paid by the client.

This company is profitable and growing with over 300 employees worldwide.

Responsibilities:

• Perform industrial research by developing math models and algorithms to be used in automated trading applications.
• Evaluate state-of-the-art statistical modeling and Machine Learning approaches using historical data.
• Develop prototype applications in R and .NET framework (C#) and/or work with developers to produce the end-user tools.
• Conduct Big Data Analysis, Visualization, and Modeling.
• Manage Data Acquisition, Cleaning, and Transformation.

Required Skills and Experience:

• Undergraduate Degree in Software Engineering, Computer Science, or equivalent experience.
• Strong background in statistics.
• Relevant experience as a Software Developer, preferably using Microsoft .NET Framework (C# or VB.NET).
• Relevant experience with statistical programming languages, such as R, SAS, Python (NumPy/SciPy), or MATLAB.
• Experience with Machine Learning algorithms, Probabilistic Models, and general statistical modeling approaches.
• Strong ability to analyze user requirements and build systems according to business specifications.
• Exceptional analytical, conceptual, and problem-solving abilities with attention to detail.
• Strong written and oral communication skills.
• Ability to multi-task and work on several different projects.
• Ability to work in an environment where the team is co-located. Self-motivation is a must.
• Domain experience in Sports Betting Markets, Financial Markets (such as Stock Exchange, Options, Bonds, ForEx, etc.), or other types of 2-sided markets.
• MS or PhD in Computer Science.
• Time Series Analysis.
• SQL and SQL Server.
• Understanding of rules for American sports and soccer and passion for sports in general.