Job Description
Paterson GlobalFoods is excited to introduce ourCommodity Quantitative Analyst Programfor the Winter and/or Spring/Summer 2024 Co-Op term. This all-encompassing program will provide you the knowledge and skills essential to your future success as a Commodity Quantitative Analyst. You will work closing with the trading team in modelling concepts and developing research that is used in the decision-making process and potential automation of commodity futures and options trading. The ideal candidate will possess excellent critical, strategic, and problem-solving competencies with the motivation and drive to thrive in a fast paced, environment. This program is in its infancy so you will be part of building a team from the ground up when it comes to quantitative futures trading. This program is best suited for individuals looking for potential long-term career growth with Paterson GlobalFoodsResponsibilitiesWork closely with commodity traders in generating backtests and walk forward testing.Assist the trader(s) in data compilation/scraping.Help develop new ways to model factors that impact commodity market fundamentals.Produce performance reports based of theoretical trading rules/algorithms given by the trader.All testing will focus on commodity futures and options. General market knowledge like bonds or equities would be helpful, as some quant skills would be transferable.Research projects that will help develop decision making for traders.Any other research/data compilation requests by the trader.QualificationsCurrently pursuing a bachelor’s degree or greater from the From the U of M in mathematics/statistics or computer science/engineeringStrong analytical, problem solving and decision-making skills.Demonstrated oral, written communication skills, strong persuasion, and negotiation skills.Effective interpersonal skills with the ability to work in a team environment.Motivated and driven to succeed and should have general interest in trading markets.Extremely Proficient in Python.Knowledge of Easylanguage, R, or excel macros and general programming skills.An understanding of statistics/probabilities, and general investment/market trading concepts. With preference (but not required) to Grain and Oilseed commodity futures.Proficient in handling large sets of data and producing performance reports.Assess and quantify risk exposures to portfolios of trades using risk models and statistics.Experience with machine learning, numerical optimization would be beneficial.To be considered for this role, please apply directly to our website:www.patersongrain.com/careers/Paterson GlobalFoods Inc. is a family-owned corporation with holdings in Western Canada. Established in 1908, the company has a long history in Canada and currently operates several subsidiaries and divisions within the grain, food, and transportation industries. PGF strives to exceed our customer’s expectations through a commitment to quality, innovation, and personalized service.#J-18808-Ljbffr