Custom Software Engineer

About The Role

Project Role :Custom Software Engineer


Project Role Description :Design, build and configure applications to meet business process and application requirements.
Must have skills :SAP FSCM Credit Management, Generative AI

Good to have skills :NA
Minimum

3 year(s) of experience is required

Educational Qualification :15 years full time education

Summary
You will design, configure, and enhance SAP FSCM Credit Management processes while leveraging AI assisted development tools and copilots to speed up requirement analysis, configuration, testing, documentation, and issue resolution. The role focuses on delivering robust customer credit evaluation, monitoring, and risk mitigation capabilities, integrating pre built AI services to improve accuracy and cycle timeswithout any need to develop custom AI models, RAG systems, or agentic frameworks.


Key Responsibilities
Functional Technical Delivery
Configure and support SAP Credit Management processes including:
oCredit Master Data Scoring Rules
oCredit Limits, Approvals Exposure Management
oCredit Checks (Static, Dynamic, Document based)
oCredit Rules, Scoring Models Risk Categories
oIntegration with SD, FI AR, Collections, and Dispute Management
Use AI copilots to accelerate creation of functional specs, configuration documentation, testing procedures, and process flow diagrams.
Support end to end delivery including requirements, solution design, configuration, SIT/UAT support, deployment, and hypercare.
Coordinate integration with external credit agencies, scoring engines, and middleware (CPI/Boomi).
AI Assisted Productivity
Apply AI copilots for:
oRequirement summarization
oImpact analysis on credit rules and risk categories
oAuto generation of documentation and test scripts
oFaster troubleshooting of credit block and exposure issues
Integrate pre built AI services such as:
oIntelligent customer credit scoring based on predefined models
oAnomaly detection in customer payment patterns
oPredictive signals on potential credit risk or defaults
oAutomated summarization of aging, exposure, or credit limit trends
Use LLM assisted analysis to identify recurring issues in credit blocks, document flows, and risk profiles.
Governance, Risk Collaboration
Ensure compliance with audit requirements, credit governance, segregation of duties, risk policies, and financial controls.
Participate in stakeholder workshops, risk review discussions, and solution walkthroughs supported by AI generated insights.
Collaborate with SD, FI AR, Treasury, Collections/Disputes, and risk management teams to ensure end to end credit processes are optimized.
Develop reusable templates, configuration guidelines, SOPs, and AI enhanced best practices for FSCM Credit Management.

Required Skills Experience
SAP FSCM Credit Management Expertise
Hands on experience with FSCM Credit Management including rule based scoring, credit control areas, credit segment management, limit approvals, and exposure calculations.
Strong understanding of integration with SD (credit checks), FI AR (exposure updates), and Collections/Disputes.
Familiarity with BAPI/BAdI enhancements, workflow rules, and credit risk matrices.
AI Ready Skills
Experience using AI copilots, LLM powered documentation tools, and AI assisted testing accelerators.
Ability to integrate pre built AI capabilities (not custom LLM or agentic architectures) into credit and risk workflows.
Understanding of responsible AI usage and limitations in finance and risk management contexts.
General Professional Skills
Strong analytical and problem solving abilities in financial risk, credit processes, and customer behavior analysis.
Ability to translate risk and credit policy requirements into scalable SAP configurations.
Effective communication and collaboration across finance, sales, and risk teams.
Continuous learning mindset with comfort adopting AI driven productivity tools.

Good to Have
SAP FSCM Certification (Credit Management).
Exposure to external credit agency integrations (e.g., Dun Bradstreet).
Understanding of Treasury operations or IFRS/GAAP related to credit risk.
Familiarity with automated testing frameworks or workflow automation tools.

Outcome Expectations
Deliver faster, more accurate SAP Credit Management solutions using AI assisted accelerators.
Improve credit decisioning, exposure accuracy, and risk mitigation effectiveness.
Operate as a bridge between Finance, Sales, Risk teams, SAP engineering teams, and AI native experts when deeper AI insights are required.


Additional Information
A 15 years full time education is required.
Qualification15 years full time education