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Software Engineer

Massar Capital Management Manhattan, NY, NY
software engineer data software trading financial datasets python c++ engineer management design statistics
November 29, 2022
Massar Capital Management
Manhattan, NY, NY
FULL_TIME
FIRM OVERVIEW



We are a technology led hedge fund looking to hire a qualified Software Engineer. We are passionate about collecting, cleaning, transforming, and storing data to feed our trading strategies. Our data driven trading models utilize a variety of open-source technologies and multiple data sources, from vendor APIs to our fleet of web crawlers running 24/7, to make trading decisions in the global markets.



ROLE OVERVIEW



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



Requirements



REQUIRED QUALIFICATIONS



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++)



Benefits



POSITION DETAILS



Location : CT/NYC



Start date : flexible



Competitive compensation commensurate with level of experience



Comprehensive benefits package including medical, dental, vision, as 401(k), life insurance



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