Job Description:- BAs/Engineers with ETL experience in Pentaho Primary Skills: Extensive Experience in ETL Tool – Pentaho Expert in creating data flows Modification of existing complex data flows leading to optimization Hands on experience of formulating, executing, and debugging SQL queries Knowledge of reading data for APIs Experience in creating data models Additional skills: Extensive experience in Extract Transform Load methodology Knowledge of data sources, transform maps to push data to ServiceNow Prior experience of working in regulatory reporting / remediation / banking industry Tasks: The role involves analyzing the source data feeds, identifying gaps and inconsistencies in the data reporting, provide detailed insights on how the source data is processed and reported, coordinating with technology owners to analyse and implement the required changes in source feeds, and collaborating with the Patch management reporting teams to ensure seamless data integration and enhanced report quality.

Job Description:- Responsibilities Understand the interface and configuration architecture and requirements. Create Design Document for the PolicyCenter configuration and integration. Configure the application as per specification using Guidewire Gosu language. Perform code review, and shake down test and deliver. Ability to collaborate with peers and project teams on complex projects and issues progress and provide status reports to management. Work in Agile environments Delivering and maintaining complex Guidewire PolicyCenter technical solutions. Designing and supporting implementation of Guidewire PolicyCenter Works independently to enhance and support the PolicyCenter product Mandatory Skills Overall experience of 8 – 12 years with 4 – 5 years of experience as PolicyCenter Developer on version 10 and above (cloud versions). Extensive experience as senior CC developer in client facing roles at onsite Strong GOSU, Java and Oracle/SQL background. Experience in Guidewire configuration and integration Strong independent developer In-depth experience with a Java IDE (Integrated Development Environment) Guidewire PolicyCenter Certifications. Experience working on Agile methodology Experience in Upgrade and Cloud implementation. Experience working on Java, DBMS, Cloud, Integrations (Web Services, Message Queues, Service Bus), DevOps, Web/Mobile developments using Angular/React etc.

Job Description:- Responsibilities: Oversee and be responsible for data collection including data extraction and manipulation, data analysis and validation. Analyse all datasets to ensure that each KPI is understood, and data is ready for modelling. Proficiency in using Excel/SQL/Python/Pandas to process, transform, create variables, and build models. Build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions. Taking base models, oversee or build in additional improvements and progress the model towards finalisation Create sales effect/ ROI workbook, Create response curves and optimisation charts budget allocation. Run scenarios required to answer client objectives for the purpose of forward looking optimization, Validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity. Requirements: Minimum 5 years of proven experience in developing and implementing Marketing Mix ModelsBe an expert in Python and familiar with R programming for MMM ModelsHave in depth understanding of statistical modelling / ML techniques Strong experience with Regression based models applied to the context of MMM modellingSolid experience with Probabilistic Programming and Bayesian MethodsBe an expert in mining large & very complex data sets using SQL and Spark Have in depth understanding of statistical modelling techniques and their mathematical foundations,Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferredHave a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation) MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science.