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Software Engineer (Parsing)
Job Code :
PE - CIE
Location :
Hyderabad Andhra Pradesh IN
Job Type :
Full Time
Career Level :
Experienced (Non-Manager)
Education :
Bachelor's Degree
Category :
Software Engineering
Job Description :
Department: Content Integration Engineering FactSet is currently seeking a talented and motivated person to join the parsing team within the Content Integration Engineering (CIE) Department. The primary responsibility for this position will be the development and maintenance of systems for processing financial data, with a focus on natural language text analysis.
The FactSet Engineering team is composed of highly talented and motivated individuals, primarily selected from top-tier technical programs around the world. We believe this approach fosters the continual introduction of new technologies and ideas, which has been critical to our success. Our engineers believe that a key to their, and FactSet’s, success is creating a loose team environment in which everyone can contribute individually, yet at the same time cultivate a community where engineers can depend on each other for help, learning, and development.
Our management approach is to trust and expect the best. We believe in hands-off management and encourage developers to take initiative to complete projects, manage multiple tasks, and set their own individual day-to-day priorities. We also encourage creativity and innovation, since they benefit FactSet in the long run. In our friendly yet professional atmosphere, FactSet offers an excellent opportunity to grow and be a part of a successful team.
An ideal candidate for this position has a good mix of technical and analytical skills for software development, as well as a research-oriented background suitable for developing novel solutions for language processing tasks. Familiarity with natural language processing techniques strongly recommended.
Required Skills:
- Natural Language Processing/Computational Linguistics
- Machine Learning
- Perl (OOP & regular expression) or Java or C#
- Unix/Linux
- Problem-solving skills
- Advanced data structures and algorithms
- BS or MS in Computer Science or equivalent
Familiarity with any of the following is recommended:
- Data Mining
- SQL/Database development
- Financial/Investment/Business knowledge
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