C++ Software Engineer

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.

The successful Software Engineer will have a passion not only for developing quantitate applications but also have a passion for building out front-end applications and working with large, financial datasets. Frequent interaction with quants, and senior management will be required so communication and collaboration skills are essential. The ideal candidate will be a mid-level professional.

• 3+ years development experience in enterprise class software solutions
• 2+ years working with C++
• Strong object-oriented design skills
• Hands-on experience with data-intensive applications that incorporate large datasets and multiple data sources
• Experience with test- driven development
• Experience working in Unix/Linux environments, practical experience in debugging
• Familiarity with mathematically intensive applications such as statistics, time series analysis, and optimization
• Practical exposure to python, in both system and application-level development
• Familiar with python data science modules
• Team player and able to work under pressure and tight schedule
• Strong communications and interpersonal skills

• 2+ years of software development experience in finance and/or investment management industry
• Advanced degree in a quantitative discipline (math, statistics, physics, computer science, financial engineering, etc.) or finance/economics
• Hands on experience with large, financial databases (Reuters, MarketQA, Capital IQ, etc.)
• Practical data modeling and database design experience
• Familiarity with concurrent systems optimizing response time
• Working knowledge of basic statistical and econometric methods
• Working experience analyzing large financial datasets using statistical tools (Python, Matlab, C++)

• Location : Vienna, Austria
• Start date : Flexible
• Wage : Competitive (Minimum annual gross salary : 95,000 EUR plus bonus)