JOB POSTING INFORMATION
Position Type:	Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title:	Financial Data Science Engineer
Job Location:	Toronto
Job Location Type:	Flexible
If working on site, can you provide a copy of your COVID-19 safety protocols?:	Yes
Number of Positions:	1
Salary:	Salary Not Available, 0.0 hours per week
Start Date:	05/01/2024
End Date:	09/01/2025
Job Function:	Engineering
Job Description:	StoneX Group is looking for interns. We are the Canadian division of a Fortune 500 company and our team is rapidly growing. Interns will have the opportunity to work alongside our firm’s best engineers who innovate every day. Our interns and co-ops write real software, and partner with a select group of experienced software development engineers in Quantitative Trading Solutions. As an intern, you will be matched to a manager and a mentor and given the opportunity to have direct impact on the evolution of our financial technologies, as well as lead mission critical projects early in your career. Your design, code, and raw smarts will contribute to solving some of the most complex technical challenges in the areas of electronic trading. In addition to an impactful project, you will have the opportunity to engage with us on both personal and professional development and expand your network. Join StoneX Group and make your mark on the financial world. Responsibilities: Collaborate with senior engineers to work with large-scale propriatary trading data to gain insights to optimize trading decisions Using modern data science and machine learning frameworks in Python Participate in daily standups and monthly sprints with other experienced developers Benefits: Competitive salary and flexible hybrid work Opportunity to work on cutting-edge technologies in finance Mentorship from senior engineers with multiple years of experience working with PEY students Fast-paced and collaborative startup like work environment
Job Requirements:	What You Bring: Experience with data manipulation tools (Python, NumPy, Pandas, Matplotlib, SQL) Basic knowledge in statistics and machine learning concepts Ability to effectively articulate and present ideas Adept at handling ambiguous or undefined challenges through strong problem solving skills and effective communication Take ownership and pride in your own projects Knowledge of code version control (GIT) Prior knowledge of trading and finance preferred
Preferred Disciplines:	Computer Engineering Computer Science Electrical Engineering Engineering Science (Electrical and Computer) Engineering Science (Machine Intelligence) Engineering Science (Math, Stats & Finance) Engineering Science (Physics) Actuarial Data Science Math & Stats
All Co-op programs:	No
Targeted Co-op Programs:	Targeted Programs Professional Experience Year Co-op (12 - 16 months)

APPLICATION INFORMATION
Application Deadline:	Oct 1, 2023 11:59 PM
Application Receipt Procedure:	Online via system
U of T Job Coordinator:	Kaisa Moran

ORGANIZATION INFORMATION
Organization:	StoneX Group Inc.
Division:	Securities - Market Making
Website:	https://www.stonex.com/Main-Channels/Securities/Capabilities/principal-equities/quantitative-solutions/

ADDITIONAL INFORMATION
Length of Workterm:	FLEXIBLE PEY Co-op: 12-16 months (range)