Quantitative Volatility Researcher

Vor 3 Tagen

Wien, Wien, Österreich Massar Capital Management, LP Vollzeit

Massar Capital Management, LP is a leading hedge fund that prides itself on its dynamic, entrepreneurial culture. We trade across global markets, leveraging our expertise in commodities, foreign exchange, fixed income, equities, and derivatives. Our investment philosophy combines fundamental understanding of individual assets with a quantitative and data-driven process. We build proprietary technology and develop statistical methods to leverage public and in-house data sets. Our team members combine strong technical skills with a passion for problem-solving and an intellectual curiosity about financial markets.

**Role Overview**

We are seeking an experienced Quantitative Researcher specializing in Volatility to research alphas and improve our existing suite of models. The role entails the development and testing of volatility strategies, creation of analytical and management tools, conducting market analyses, and collaboration with team members on research and risk management. The ideal candidate would be a mid-level professional with 2+ years of experience in volatility and quantitative modeling. While all underlying asset classes will be considered, there is particular interest in equity or commodity volatility research. Strong communication skills are necessary as there will be daily interaction with team members and management.

**Key Responsibilities**

  • Research and analyze volatility data to identify trends and patterns
  • Develop, deploy, and monitor models that trade in financial markets, ensuring optimal performance and risk management
  • Evaluate and improve existing quantitative models to enhance their accuracy and efficiency
  • Generate new ideas for additional research and development of volatility strategies

**Requirements**

  • Graduate degree in computer science, math, physics, engineering, finance, economics, or other related quantitative/analytical field from a top college or university
  • Proficient in Python or another equivalent language, with experience in data analysis and modeling
  • Extensive knowledge of financial markets, including commodities, foreign exchange, fixed income, equities, and derivatives
  • Excellent communication skills, self-starter, quick learner, positive attitude, and team player
  • Strong analytical skills, with the ability to interpret complex data and develop effective solutions

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