You will gain exposure to a wide range of Data Solutions products; including FactSet proprietary technologies (e.g. User Configurable Feeds), Cloud and Managed Services (Snowflake, AWS, Azure), Standard DataFeeds (SQL Databases), FactSet proprietary content, Prices, Partner and exchange data and FactSet Content APIs as well as learning to design custom solutions tailored to each client using a combination of products.
What You'll Do
Gathering client requirements, preparing proof of concept files, data transformation and filtering, process design, implementation, testing & troubleshooting, and pre-sales client communication.
Liaising with the pre-sales coverage check team to facilitate the delivery of initial sample files
Working alongside with our sales, product, engineering, consulting teams and other internal teams throughout the implementation process.
Develop and share knowledge on PRD content (e.g. instrument identifiers, symbol cross reference, entity reference, prices, terms and conditions, corporate actions and derived analytics)
Involvement in product development (working with agile teams, improving existing & new products) to help shape the future of FactSet’s PRD offering
Client relationship management
Day to day client engagement
Standardization of client specific tasks
Streamlining data workflows & pipes
External and internal training and education
Debriefing of complex situations
What We're Looking For
Required Skills
University degree in Data, Business, Technology or other related field
A minimum of 1 year of professional experience
Genuine interest in data, technology, financial markets
Knowledge of financial products and instruments
Data management and Query Language experience
Good understanding of how to navigate through functions and code arguments in Excel
Strong organizational skills to manage multiple projects and identify economies of scale
Effective communication and interpersonal skills to collaborate with diverse teams
Ability to cultivate collaborative and productive relationships
Adaptability and capability to manage multiple priorities
Ability to analyse, validate, and interpret large and complex datasets.
Ability to troubleshoot data issues, reconcile mismatches, or resolve feed integration issues.
Desired skills
Good understanding of financial data and different security types (stocks, fixed-income securities, derivatives, FX, commodities)
Data modelling experience e.g., SQL, Python
Experiences with FQL and Screening syntax
Participation in the CFA Program or technology focused certification programs (e.g., AWS Cloud Practitioner, Snowflake Certifications, Power BI)
Company Overview
FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn.
At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.
