Payments Business Analyst

MACHINE LEARNING TECHNOLOGIES LLC; Jersey City (NJ); On-site; USD 83,000 - 152,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior Payments Business Analyst in Jersey City, NJ to lead field-by-field mappings from SAP IDocs to ISO 20022 formats, support an ISO 20022 migration, and ensure CBPR+ compliance.

You will work with SAP, payments, and integration teams to translate complex payment requirements into detailed specs.

Qualifications

• 8-12+ years in payments domain business analysis.

Responsibilities

• Analyze end-to-end payment processing workflows including H2H and SWIFT channels.
• Perform field-by-field mapping from SAP IDoc payment messages to ISO 20022 formats (e.g., pain.001, pacs.008).
• Support Hybrid Address and CBPR+ compliance requirements.
• Translate business payment requirements into detailed mapping specs and data dictionaries.
• Collaborate with SAP functional/technical teams, integration teams, and payments operations.
• Troubleshoot IDoc-related data, mapping, and transformation issues during migration and testing.
• Support SIT/UAT cycles and production readiness activities.

Skills

Payments domain

SAP IDocs

ISO 20022

CBPR+

Hybrid Address

SWIFT

H2H integrations

Documentation

Stakeholder comms

Tools

SAP

Data mapping tools

Job description

Job Description

Job Overview

• Job ID: J52883
• Job Title: Payments Business Analyst
• Location: Jersey City, NJ
• Duration: 9 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Role Summary

We are seeking Senior Payments Business Analysts with deep expertise in SAP IDoc-based payment integrations to support an enterprise-wide ISO 20022 and Hybrid Address migration initiative. This role requires hands-on experience with legacy payment formats, complex field-by-field mappings, and close collaboration with SAP, payments, and integration teams.

Key Responsibilities

• Analyze end-to-end payment processing workflows, including H2H and SWIFT channels.
• Perform field-by-field mapping from SAP IDoc payment messages to ISO 20022 formats (e.g., pain.001, pacs.008).
• Support Hybrid Address and structured/unstructured address compliance requirements (CBPR+).
• Translate business payment requirements into detailed mapping specifications and data dictionaries.
• Work closely with SAP functional/technical teams, integration teams, and payments operations.
• Troubleshoot IDoc-related data, mapping, and transformation issues during migration and testing.
• Support SIT/UAT cycles and production readiness activities.

Required Skills & Experience

• 8-12+ years in payments domain business analysis.
• Strong hands-on experience with SAP IDocs related to payments (e.g., PAYEXT, ACC_DOCUMENT, custom payment IDocs).
• Solid understanding of ISO 20022, CBPR+, and Hybrid Address mandates.
• Experience with SWIFT, H2H file-based integrations.
• Ability to work with poorly documented or custom legacy implementations.
• Strong documentation and stakeholder communication skills.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract