Role & responsibilities Support requirements gathering workshops with the business and technical users. Translation of the business user requirements to decision process flows and rules design Identify specific data, API integration, analytics model/credit scoring model input requirements of the decision strategy Collaborate with the ETL/Data Architect in designing the data model, and with the API Specialist in configuring the interoperability of SAS Intelligent Decisioning with the rest of the Banking Applications Analyze the data requirements of the models to be utilized as part of the decision stategyes Prepare Data required as input to the Decision Strategies Hands-on Development of rulesets and decision flows Execute Testing and/or Collaborate with The Clients testing team, and implement the application of fixes. Facilitate and Guide the customer for Production Deployment activities or implement the actual migration of the Decision Strategy Artifacts to the Production Environment, deploy for production use. Documentation and enablement workshop for the customer Experience and Skillsets: At least 5 yrs of relevant working experience under the Business Analytics Domain (which may include data warehousing, BI environment implementation, analytics model development, rules management, etc.) At least 2-3 years cumulative work experience in implementing any of the following: Decision Management Engines/Platforms Business Rules Management Systems (BRMS) Credit Rating Engines Credit Risk Assessment Process and Rules At least 1-2 years cumulative work experience, with hands-on, in at least any of the following: (such as Pega, SAS Real Time Decision Manager, SAS Intelligent Decisioning, IBM Cloud Pak for Business Automation, Actico, FICO Decision Management Platform, InRule, Decisions, FlexRule, 1000minds, XpertRule, Progress Corticon Business Rules Engine, Tibco BPM, JBPM, FICO Blaze Advisor, Experian PowerCurve Strategy Management, Ab Initio Business Rules Environment (BRE) and Express>It, Red Hat Decision Manager, Red Hat Business Process Automation, and Hyperon), SAS Risk Modeling, SAS Viya Experience on the following foundation technical competencies Hands-on: SQL Programming Postman or SOAPUI Working Knowledge: REST APIs Credit Scoring Model Development Preferably with experience on Banking Industry, Credit Risk Decision Management, Credit Approval Process, Underwriting, Credit Scoring, Business Intelligence and Analytics Projects BS Degree in Statistics, BS Degree in Computer Science/Information Technology, Computer Engineering is a plus Detail and Process Oriented Good Communication Skills Stakeholder Management Assertive and clear verbal and written communications to on-site and remote project team members, and customer counterparts.
