The Analytics SBU is responsible for the strategy, execution and development of products that will establish FactSet as the premier technology partner for the Analytics investment community.
The Risk Product Development group is looking for a candidate to work with the team that supports the Risk data within the Analytics SBU.
The Manila Risk PD team covers the Third-party risk vendors which are APT, Axioma, Barra, and Northfield.
FactSet is a leading global provider of financial data, analytics and models, with offices in 35 locations worldwide, including New York, London, Frankfurt, Hong Kong, Singapore, Tokyo, and many more.
An Associate Product Specialist is responsible for the review of all requests filed on risk data; this includes answering both client and internal questions, working with Engineering to fix issues and implement enhancements, working with Documentation to add help to Online Assistant and working with Application QA to add relevant QA tests.
Business Criteria :
University Degree holder preferably in Mathematics, Computer Science, or Finance
Understanding of the quantitative investment management process and use of optimization in portfolio construction
Understanding of risk analytics
Understanding of fixed income instruments
Understanding of equity instruments
Good command of the English language - written and oral
Attention to detail
Strong analytical and problem solving skills
Taking initiative and thinking beyond a list of instructions one has been given
Desired Skills :
Excellent interpersonal skills
Should have worked / resolved RPDs
Ability to work on multiple projects with shifting priorities
Ability to work independently and collaboratively with team members in global offices
Ability to think logically and exercise sound judgement
Interest in learning new technologies
Advanced knowledge in Microsoft Excel
External certifications such as CFA or FRM, or working towards designation, highly Desired
Programming knowledge (VBA, etc.) at any level, highly desired
Job Responsibilities :
Monitor the model production process
Check model loads to insure the data looks correct
Review all client-reported / internal bugs, enhancement requests, and questions related to risk data.
Work with vendors on data issues
Work with the subscription orders team to create CACCESS codes and product pages for new risk models
Work with engineering to load new models on the system and QA check to make sure the results look correct
Interact with Software Engineering, Quant Specialists, Sales, and Consultants to support client needs.
Develop QA tests for testing the data