Quantitative Volatility Researcher
Quick Summary
FIRM OVERVIEW Massar Capital Management, LP (“Massar”) is an alternative investment management company founded in 2015.
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.
Responsibilities
~1 min read
- →Research and analyze volatility data to identify trading opportunities.
- →Develop, deploy, and monitor quantitative models used in financial markets.
- →Evaluate and enhance the performance of existing quantitative models.
- →Generate and explore new research ideas.
- →Promote and uphold firm-wide best coding practices.
Requirements
~1 min read
- Graduate degree in computer science, mathematics, physics, engineering, finance, economics or a related quantitative field from a top university.
- Proficiency in Python or another comparable programming language.
- Strong understanding of financial markets, with specific exposure to volatility strategies.
- Excellent communication skills, with a self-starter mindset, eagerness to learn, and a collaborative spirit.
- Strong analytical and problem-solving skills.
What We Offer
~1 min read
The all-inclusive salary for this position STARTS at EUR 95.000,00. Competitive and performance-based compensation package, depending upon qualifications.
Listing Details
- Posted
- February 12, 2026
- First seen
- March 26, 2026
- Last seen
- April 18, 2026
Posting Health
- Days active
- 23
- Repost count
- 0
- Trust Level
- 39%
- Scored at
- April 18, 2026
Signal breakdown
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