À propos de ce poste Quantitative Commodity Researcher chez Massar Capital
FIRM OVERVIEW
Massar Capital Management, LP (“Massar”) is an alternative investment management company founded in 2015. We employ a global macro trading strategy that seeks to capture investment opportunities across commodity, foreign exchange, fixed income, equity, and derivatives markets. With offices in the United States and Europe, Massar prides itself on its dynamic, entrepreneurial culture. Our investment philosophy combines fundamental understanding of individual assets with a quantitative, data-driven process. We build proprietary technology and develop statistical methods to leverage both public and in-house data sets. Our team members possess strong technical skills, a passion for problem-solving, and an intellectual curiosity about financial markets.
ROLE OVERVIEW
Quantitative Commodity Researcher | Vienna, Austria
We are seeking an experienced Quantitative Commodity Researcher to research predictive models and improve our existing suite of models. The ideal candidate will be a mid-to-senior level professional with previous experience in quantitative modeling. Experience working with commodity markets is required. Prior experience leading a team of researchers is a plus.
RESPONSIBILITIES
- Research and analyze market data to identify patterns and opportunities.
- Develop, evaluate, and enhance existing quantitative models.
- Collaborate with traders and other researchers to refine the models.
REQUIREMENTS
- Graduate degree in computer science, mathematics, physics, engineering, or a related quantitative field from a top university.
- Proficiency in Python, MATLAB, or R.
- Strong understanding of commodity markets.
- Excellent communication skills, a self-starter mentality, and the ability to quickly learn and adapt.
- Strong analytical skills, a team-oriented mindset, and a positive attitude.
- Management experience is a plus.
COMPENSATION
The all-inclusive salary for this position STARTS at EUR 95.000,00. Competitive and performance-based compensation package, depending upon qualifications.
