Randstad Product Analyst in New York, New York
location:New York, NY
salary:$850,000 - $900,000 per year
date posted:Wednesday, December 5, 2018
industry:Professional, Scientific, and Technical Services
Role: In this role, you will be a part of the team that supports our clients in the implementation and application of Analytics Solutions. This is an opportunity to develop your career in financial services using world-class software. You will obtain a broad knowledge of credit and market risk methodologies by working with the latest breed of financial research. You will also ensure that our products, financial models and technology are used effectively and appropriately to add value to our clients' businesses.
location: New York, New York
job type: Permanent
salary: $850,000 - 900,000 per year
work hours: 9 to 5
Understand and explain complex financial models on conceptual, intuitive, and practical levels.
Provide thorough quantitative and conceptual solutions to our wide range of clients.
Provide in-depth education and assistance on product features, functionality and the product technical architecture.
Support clients on the use of our industry leading credit risk products in a courteous, professional, accurate and timely manner via web, email, telephone, and in person.
Communicate effectively and develop excellent working relationships with colleagues within Client Service and in partner teams such as Engineering, Research, etc.
Provide constructive feedback to the sales and training groups regarding client needs and opportunities
Identify, capture, and channel client feedback on product features and functionality to our Product Managers
Originate content for our client Knowledge Base
Manage and escalate requests appropriately while maintaining ownership of client interaction and delivery solution.
Track all client interactions using the CRM system
Rotational Weekend On-Call Support work may be required
Bachelors degree with an emphasis in Computer Science, Finance, Engineering, Mathematics, or Statistics
Masters degree in Quantitative Finance, Business Administration, Computer Science, Financial Engineering, Computer Information Systems or Accounting preferred
Superb analytical skills and persistence in analytical and technical problem solving
Proficiency with SQL procedures strongly preferred
Strong knowledge of Windows based architectures and windows diagnostic software
- Proficiency with SQL procedures strongly preferred
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.