Data Scientist - Data Wrangling

Job Title: Data Scientist - Data Wrangling Company: Société Générale Job Category: Data Science Roles & Responsibilities: Responsibilities -------------------- ROLE SUMMARY: Construction of modelling and monitoring databases and data quality management for regulatory credit risk (PD, LGD and EAD) and provision (IFRS9\) models. ROLE DESCRIPTION: * Construct modelling databases and analyze the data quality for the same. * Apply domain expertise in day\-to\-day operations. * Contribute to the process enhancements and rectification. * Perform root\-cause analysis and resolve any team hurdles. * Manage simple case studies and challenges with minimal supervision. * Review and provide feedback on standard operating procedures. * Consistently surpass the accuracy and productivity levels. * Train analysts Profile required -------------------- If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Work Location: Bengaluru, India Availability: Full time

* Understanding of Design and Development of Data Analytics. * Good experience on SQL Queries and sound programming knowedege in analytical tools like SAS , Python, PySpark. * Good to have awareness of Big Data and cloud based BI stack, emerging BI trends * Understanding of designing, defining and documenting solution architecture * Ability in gathering client requirements and work through specifications and develop solutions where appropriate in line with project documentation * Working within time guidelines * Knowledge of credit risk modelling such as PD, LGD , CCF and IFRS9\. Why join us --------------- You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved. Key Skills: Python, SQL Salary: Not disclosed