Algorithm Developer and Statistical Modeler

ROSS; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

ROSS is looking for an Algorithm & Machine Learning Developer for a leading client in online sports gaming. This role involves developing algorithms for automated trading and analyzing data using advanced statistical techniques. The ideal candidate will have a strong background in software development and statistics, complemented by a passion for sports. Extensive training in Curacao is provided as part of the onboarding process.

Qualifications

• Experience with R, Python, or MATLAB required.
• Strong analytical skills and attention to detail needed.
• Familiarity with Sports Betting Markets or Financial Markets is a plus.

Responsibilities

• Develop math models and algorithms for automated trading applications.
• Evaluate and implement Machine Learning approaches with historical data.
• Conduct Big Data Analysis and manage data acquisition processes.

Skills

Statistics

Algorithm Development

Machine Learning

Data Analysis

Problem Solving

Communication

Education

Undergraduate Degree in Software Engineering

MS or PhD in Computer Science

Tools

R

.NET Framework (C#)

Python (NumPy / SciPy)

SQL

Job description

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.

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Algorithm Developer • Old Toronto, ON, Canada