Manhattan WMOS Engineer
ShyftLabs
Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
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Fiserv жеке тұлғаларға, бизнеске, қаржы ұйымдарына, кредиттік серіктестіктерге, кәсіпорындарға және мемлекеттік сектор ұйымдарына арналған қаржылық қызметтер технологияларын әзірлейді. Оның өнімдері цифрлық банкингті, төлемдерді өңдеуді, сауданы және біріктірілген төлем мүмкіндіктерін қолдайды. Бұл шешімдер финтех және бағдарламалық жасақтама жеткізушілеріне қаржылық қызметтерді ұсынуға және олардан табыс табуға көмектеседі. Компания корпоративтік жауапкершілік бастамалары арқылы шағын және әртүрлі қауымдастықтарға тиесілі кәсіпорындармен де жұмыс істейді.
Fraud Risk Analyst – Fiserv, Berkeley Heights, NJ (Onsite)
Analyze fraud activity across Fiserv’s global fintech and payments network. Use data, monitoring controls, and risk insights to reduce financial and operational exposure.
Сипаттама
- Detect fraud attacks, assess their effects, define prevention and mitigation strategies, and monitor the broader fraud-risk environment
- Investigate root causes, activity volumes, and financial or operational consequences, then recommend remediation approaches
- Develop evidence-based, data-led insights that support organizational change
- Identify emerging fraud attacks, recognize attack signatures, and trace root causes using financial and non-financial cardholder data
- Maintain early-warning monitoring that surfaces abnormal and precursor attack activity
- Build dashboards, daily monitoring reports, and reports for specific analytical requests
- Gather and interpret network data to determine root causes and effective mitigation options
- Oversee fraud-ecosystem metrics that measure the performance and effectiveness of fraud controls
- Perform ad hoc analysis while maintaining analytical capabilities and supporting datasets
Талаптар
- Bachelor’s degree in business, computer science, or a comparable combination of education and experience
- At least three years of related experience in fintech, e-commerce, banking, or fraud prevention
- At least three years of professional data-analysis experience
- Proficiency in Python, PySpark, SQL, or comparable analysis tools and platforms such as Snowflake, Palantir, AWS, Azure, Splunk, Power BI, or Actimize
- Experience creating fraud-prevention rules and artificial-intelligence or machine-learning models
- Experience extracting insights from complex datasets and producing business reports
- Experience developing and presenting complex findings and outcomes to senior leaders to support positive ROI and fraud reduction
- Valid, unrestricted authorization to work in the United States
- Must not require current or future sponsorship; temporary visas including F-1 OPT, CPT, STEM, H-1B, H-2, and TN are not accepted
- A master’s degree in computer science or a related field is preferred
- Fraud certification such as ACAMS CAFS or ACFE is preferred
- Coding certification or documented supporting coursework, use cases, or education is preferred
Артықшылықтар
- Fiserv is an equal opportunity employer
- Reasonable accommodation is available during the application and hiring process
- This position has no annual incentive opportunity or commission eligibility
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