Seic
Service Analyst I, Dealer & Investor Services
USA - PA - Oaks · Contract
Sponsorship not specifiedDetected 22 days ago
Outbound SalesExcelCommunicationAdaptabilitySharePoint
About the role
- Any misrepresentation of or omission of any contributions from this information request, will be cause for your rejection or dismissal from employment.
- SEI is an Equal Opportunity Employer and so much more… After over 50 years in business, SEI remains a leading global provider of investment processing, investment management, and investment operations solutions.
- We recognize that our people are our most valuable asset and that a healthy, happy, and motivated workforce is key to our continued growth.
Responsibilities
- Come build your brave future at SEI.
- Reflecting our experience within financial services and financial technology our offices encompass an open floor plan and numerous art installations designed to encourage innovation and creativity in our workforce.
- We are a technology and asset management company delivering on our promise of building brave futures (SM)-for our clients, our communities, and ourselves.
Nice to have
- B.S./B.A in Business, Communications, related field or equivalent work experience.
- Minimum of 1 year industry related experience, with prior contact center experience or brokerage experience a plus.
- FINRA Series 6/7 and 63 required, or ability to obtain within 90 days
- Experience with Excel and SharePoint are a plus.
Skills
- Ability and desire to excel at prospecting by telephone
- Adaptability to work in an open floor environment
- Excellent written and verbal communication skills as well as strong presentation skills
Benefits
- We offer our employees paid parental leave, back-up childcare arrangements, paid volunteer days, education assistance and access to thriving employee networks.
Company info
- At SEI, we're (literally) invested in your success.
Equal opportunity
- SEI is an Equal Opportunity Employer and so much more…
This listing is sourced directly from Seic's careers page and normalized into a canonical job model.