FIS
Associate I, Production Operations
US MA CAT 10 · Full-time
Sponsorship not specifiedDetected 86 days ago
ResearchCommunicationProblem Solving
Stay score
odds of building a lasting career here
36Risky
Cap-exempt (no lottery)0
Sponsors this role75
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
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About the role
- Our technology powers the world's economy and our teams bring innovation to life.
- If you are ready to start learning, growing, and making an impact with a career in fintech, we would like to know: Are you FIS?
Requirements
- Knowledge of the practices, procedures and problem-solving techniques involved in item processing
- Knowledge of client specifications for remittance processing
- Knowledge of off-line and peripheral equipment operation and maintenance
- Proficiency to assemble, organize and sequence work
- Knowledge to identify errors in calculations and balances
- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
- If you are made a conditional offer of employment, you will be required to undergo a drug test.
- High school diploma or GED
- What we offer you:
- A broad range of professional education and personal development possibilities - FIS is your final career step!
Nice to have
- Prepares customer payments for processing.
- Coordinates set-up and maintenance activities for the remittance processor and related equipment.
- Processes exception items.
- Prepares outgoing collection notices for negotiable instruments, e.g., bonds, food stamps, foreign items.
- Other related duties assigned as needed.
- Capacity to lift or move up to 30 pounds
- Considerable knowledge of remittance processing
- Proficient written and oral communication skills in dealing with all team members.
This listing is sourced directly from FIS's careers page and normalized into a canonical job model.