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4.0 - 5.0 years
8 - 12 Lacs
Tamil Nadu
Work from Office
Duration: 12Months Position Description: Develop RPA and Chat Bot solutions using Pega and Case Management solutions. Developing integrations for RPA and Chat Bot solutions using Webservices and API's Pairs with other software engineers to cooperatively deliver user stories. Uses the test driven development methodology to realize the technical solution. Perform requirements gathering, Business Analysis, Fit Gap Analysis, System Testing, Documentation (FDD and TDD) and End User Training Analyze integration requirements and work with legacy systems Should coordinate with business skill teams, PDO IT teams, Architects and Product vendor (Pega) in developing and deploying the automation solutions. Bot Maintenance Skills Required: 4+ Experience in PEGA RPA Development. Experience in Delivering global RPA or DPA projects using Agile methodology. Strong knowledge on C# scripting. Pega certification Knowledge in AI or ML modeling is added advantage. Hands-on Experience on Data Modelling, Stored Procedures, SQL Server Strong understanding of Case Management, Case Hierarchy, Flow Rules, Data Propagation Good working knowledge on Declarative Rules, Database Integrations, Connectors and Services, Decisioning & ML Working Knowledge on UI Design Strong Knowledge on Application Debugging, Performance Tuning, Quality Assurance & Packaging Working knowledge on Pega Security Framework Working knowledge on RPA Integration and Robot Manager Portal Features Experience Required: 4-5 years of Pega RPA development experience Education Required: Bachelor's degree B.EMCA
Posted 3 weeks ago
4 - 9 years
30 - 40 Lacs
Kolkata
Work from Office
Qualification : Education: Graduate/Master degree in computer science, statistics, econometrics, mathematics, computational finance, or similar Deep knowledge in Quantitative methods econometrics/ statistics.? Strong in Regression analysis, Time series Analysis, optimization.? Knowledge of Risk Models and Optimization algorithms.? Good working knowledge of SAS, Python and SQL, Machine learning, exploratory data analysis Responsibilities will include: Monitor and validate aggregate model risk in alignment with banks risk strategy You will lead a team of Model validators, who use their predictive and AI Modeling knowledge to review and validate a wide variety of the models Manage a grwoing Model Validation team responsible for independent first line validation of predictive and generative AI models Perform independent validations of financial, statistical, and behavioral models commensurate with their criticality ratings Assist with the validation and review of models regarding their theoretical soundness, testing design, and points of weakness 5) Interpret data to recognize any potential risk exposure Development of challenger models that help validate existing models and assist with outcome analysis Ensure compliance with the model risk monitoring framework Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards Exposure to CCAR/CECL/IRB Models are preffered Evaluate the Banks compliance with SR 11-7 regulatory guidance
Posted 2 months ago
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