Quantitative Volatility Researcher

JobsinAustria; Wien; Vor Ort; EUR 85.500 - 104.500; Vollzeit

Zusammenfassung

Massar Capital Management, LP in Vienna is seeking a Quantitative Volatility Researcher to advance alphas and refine volatility models. The role combines research, model development, and risk assessment in a fast-paced, collaborative environment.

Candidates should have 2+ years in volatility research, strong Python skills, and a good grasp of financial markets; strong communication with senior management is essential.

Qualifikationen

• 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 problem3solving skills.

Aufgaben

• 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.

Kenntnisse

Python

Communication

Analytical thinking

Team collaboration

Problem solving

Ausbildung

Graduate degree in a quantitative field

Jobbeschreibung

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 Volatility Researcher – Vienna, Austria
We are seeking a Quantitative Researcher specializing in Volatility to research alphas and improve our existing suite of models. The role involves building and testing volatility strategies, creating analytical and risk management tools, conducting in-depth market analysis, and collaborating closely with team members on research and portfolio risk. The ideal candidate is a mid‑level professional with 2+ years of experience in volatility research and quantitative modeling. While candidates with experience across all underlying asset classes will be considered, there is a particular interest in equity or commodity volatility. Strong communication skills are essential, as the role involves daily interaction with both team members and senior management.

Responsibilities

• 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

• 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.

Compensation

The all‑inclusive salary for this position STARTS at EUR 95.000,00. Competitive and performance‑based compensation package, depending upon qualifications.