Elliot Young
@elliotyoung
I build quantitative finance, risk analytics, and machine-learning projects using Python and R.
AustraliaWhat I'm looking for
I'm studying Actuarial Science at Monash University, where I've achieved a Weighted Average Mark of 78.
I build practical quantitative finance and risk analytics projects, including a cryptocurrency volatility and risk forecasting system using GARCH models and a portfolio optimisation and backtesting system.
I've also developed a self-supervised deep-learning pipeline for knee MRI abnormality detection, using Python, R, PyTorch, statistical modelling, time-series forecasting, and machine learning.
Alongside my studies, I've supported workplace and community initiatives at Waverley Social Enterprises and worked in a high-volume café environment at Moon and Spoon, building communication, teamwork, and organisational skills.
Experience
Work history, roles, and key accomplishments
Supported workplace and community initiatives assisting people with disabilities
Worked collaboratively with staff and volunteers in a fast-paced environment
Developed communication, teamwork, and organisational skills through volunteer activities
Provided customer service in a high-volume café environment
Managed multiple tasks efficiently during busy service periods
Worked collaboratively with team members to maintain smooth daily operations
Education
Degrees, certifications, and relevant coursework
Monash University
Bachelor of Actuarial Science, Actuarial Science
2024 - 2027
Weighted Average Mark (WAM): 78
Tech stack
Software and tools used professionally
Availability
Location
AustraliaAuthorized to work in
Salary expectations
Job categories
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