Department Brief:

Risk and Quant Analytics Engineering provides FactSet client base New Generation Quantitative and Risk solutions that ensure reliability, flexibility and efficiency of the investment decision making process lifecycle and foster knowledge, creativity and resilient investment outcomes.  Bring in innovation and reliability in Quantitative Analytics to fuel new product offerings across FactSet business.

The Risk Content Engineering under the Risk and Quant Analytics Engineering is focused on delivering Risk data coming from different sources - Third Party Vendors and FactSet Risk Analytics team - by providing database solutions and automated processes which follow an Extract-Transform-Load (ETL) procedure. The team delivers timely and correct data by setting up proper QA and testing integrated to the systems. To continuously improve and automate our workflows, the team is also responsible to create the necessary tools to support this initiative. This ensures that FactSet's products and technologies are responsive to the changing needs of the investment and software engineering community.

Job Descriptions:

 FactSet is searching for a graduate with strong programming skills and good knowledge of an OO language and experience of working with OO concepts. You will be focused on the creation, design, management and maintenance of custom database solutions and automated processes that will help the team in delivering the data to our clients in a timely manner. You will be working with various stakeholders (product developers, internal teams, and clients) to deliver timely and accurate transformed data loaded from data feed acquisitions. You will be able to develop web and command-line tools to assist our stakeholders on their day-to-day tasks which includes debugging, testing, and QA. Lastly, be involved in continuously improving and upgrading our tools, APIs, and workflows for seamless model integrations and easier management of these components.

Required Skills:

Bachelor's Degree in Computer Science, Information Technology, Computer Engineering or equivalent.Experience developing in C++, Perl, Python or any other object-oriented languageExperience and basic knowledge in working with databases (preferably SQL Server and MySQL)          Ability to understand various data structures.Strong analytical and problem-solving skillsBe able to create new scripts and look through legacy scripts, if neededGood communication skillsGood team player and an independent worker

What’s in It for You:

Joining a stable and growing firm with a proven track record of success for over 40 yearsA community of thoughtful, innovative minds that value collaboration, and welcome your new ideas to the tableMentorship and growth opportunities from senior employeesA focus on your career development with dedicated monthly time to attend conferences, online learning seminars and build your networkA robust social community involved in volunteerism, intramural sports, and team building eventsBusiness resource groups that align with our DE&I strategy to create an inclusive environment for allFlexible working options: in-person &  hybrid

Returning from a break?

We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career.

Additional Information

At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process.  All qualified applicants will be considered for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. FactSet participates in E-Verify.