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

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++)