Jobs
Required Skills
SAP FSCM
Project Role: Custom Software Engineer
Project Role Description: Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills: SAP FSCM Credit Management
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 times—without 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:
- Credit Master Data & Scoring Rules
- Credit Limits, Approvals & Exposure Management
- Credit Checks (Static, Dynamic, Document based)
- Credit Rules, Scoring Models & Risk Categories
- Integration 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:
- Requirement summarization
- Impact analysis on credit rules and risk categories
- Auto generation of documentation and test scripts
- Faster troubleshooting of credit block and exposure issues
- Integrate pre built AI services such as:
- Intelligent customer credit scoring based on predefined models
- Anomaly detection in customer payment patterns
- Predictive signals on potential credit risk or defaults
- Automated 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
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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.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
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Dublin
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Reviews
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
$25,532
Stock
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Bonus
$6,383
$44,681
$82,979
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
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