Machine Learning & Quant Researcher

Hunter Bond; Montreal (administrative region); Hybrid; CAD 170,000 - 200,000; Full time

Job summary

A leading FinTech firm based in Montreal is seeking a Machine Learning/Quant Researcher to work with large datasets and develop trading strategies. Ideal candidates will have a PhD in a STEM field, strong proficiency in Python, and an interest in quantitative research and machine learning. The role offers up to $200k in compensation, exceptional bonuses, and a dynamic work environment. This position is suited for those in the top 1% of technologists who are keen on tackling real-world problems in finance.

Benefits

Exceptional Bonus/Benefits Package

Qualifications

• Strong knowledge of Python.
• Interest in machine learning and quantitative research.
• Applied research and analysis experience through internships in finance or a similar field.

Responsibilities

• Processing and analyzing huge datasets.
• Doing signal research.
• Building trading strategies from the ground up.

Skills

Python

Machine Learning

Quantitative Research

Education

PhD in Computer Science, Mathematics, Statistics, Physics or related fields

Tools

PyTorch

TensorFlow

Job description

Title: Machine Learning/Quant Researcher

Location: Montreal (Hybrid)

Firm: Elite FinTech Firm

Compensation: Up to $200k + Exceptional Bonus/Benefits Package

Skills: Strong knowledge of Python, interest in machine learning and quantitative research!

My Client is looking for the top 1% of technologists for a top quant fund!

My client are run by alumni from top universities (Stanford, MiT, Princeton) who have also worked at some great firms (Optiver, Tower etc.!)

For this position, they’re looking for a PhD graduate from a STEM background and with experience or interest in the machine learning or quantitative research field!

Role Responsibilities (Full Spec. Available)

• Processing and analyzing huge, multi-petabytes worth of datasets
• Doing signal research
• Building trading strategies from the ground up!

Successful Candidates:

• Recently completed a PhD in Computer Science, Mathematics, Statistics, Physics or related fields
• Proficiency in Python (PyTorch, TensorFlow)
• Applied research and analysis experience through internships either in finance or a similar data intensive field
• Experience within the trading space is a distinct advantage

If the above is of interest apply or reach to myself at [e-mail] for more information.