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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

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.

Requirements

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

In addition, preference will be given to candidates with:

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++)

Additional Information

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

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