Algorithm Developer and Statistical Modeler

ROSS; Old Toronto; On-site; CAD 70,000 - 110,000; Full time

Job summary

Join a dynamic and profitable company at the forefront of online sports gaming as an Algorithm & Machine Learning Developer. This role involves developing innovative algorithms and statistical models for automated trading applications, utilizing your expertise in R and .NET. You will conduct extensive data analysis and visualization, contributing to the growth of the organization. The position offers an exciting opportunity to work in a collaborative environment, where your analytical skills will shine. If you are passionate about sports and technology, this is the perfect chance to make a significant impact in a thriving industry.

Qualifications

• Strong background in statistics and machine learning.
• Experience in software development with .NET and R programming.

Responsibilities

• Develop math models and algorithms for automated trading applications.
• Conduct big data analysis, visualization, and modeling.

Skills

Machine Learning

Statistics

R programming

C# (.NET Framework)

Data Analysis

Problem-solving

Communication Skills

Multi-tasking

Education

Undergraduate Degree in Software Engineering

MS or PhD in Computer Science

Tools

Microsoft .NET Framework

SQL

SAS

Python (NumPy/SciPy)

MATLAB

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:

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

Required Skills and Experience:

1. Undergraduate Degree in Software Engineering, Computer Science, or equivalent experience.
2. Strong background in statistics.
3. Relevant experience as a Software Developer, preferably using Microsoft .NET Framework (C# or VB.NET).
4. Relevant experience with statistical programming languages, such as R, SAS, Python (NumPy/SciPy), or MATLAB.
5. Experience with Machine Learning algorithms, Probabilistic Models, and general statistical modeling approaches.
6. Strong ability to analyze user requirements and build systems according to business specifications.
7. Exceptional analytical, conceptual, and problem-solving abilities with attention to detail.
8. Strong written and oral communication skills.
9. Ability to multi-task and work on several different projects.
10. Ability to work in an environment where the team is co-located. Self-motivation is a must.

Desirable:

1. Domain experience in Sports Betting Markets, Financial Markets (such as Stock Exchange, Options, Bonds, ForEx, etc.), or other types of 2-sided markets.
2. MS or PhD in Computer Science.
3. Time Series Analysis.
4. SQL and SQL Server.
5. Web development experience using ASP.NET.
6. Understanding of rules for American sports and soccer and passion for sports in general.