Data Scientist - Data Wrangling

ROLE SUMMARY:

Working in a data sourcing and quality management team for regulatory credit risk (PD, LGD and EAD) and provision (IFRS9) models.

ROLE DESCRIPTION:

•          Apply expertise in technical processes.

•          Manage beginner to intermediate level case studies and challenges with minimal supervision.

•          Identify, develop, and implement process and project enhancements.

•          Know upstream and downstream processes of cluster.

EDUCATIONAL QUALIFICATION:

Masters in a quantitative subject such Economics or Finance or Engineering.

ROLE QUALIFIERS:

The competency required to perform the role are as follows –

•          Proven functional and domain proficiency in credit risk.

•          Demonstrated strong communication, and problem-solving skills.

•          Constant product and functionality upskilling.

•          Good SAS and SQL knowledge.

•          Added advantage to have experience in Python and PowerBI.

“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.

Société Générale Global Solution Center (SG GSC), a 100% owned subsidiary of European banking major Société Générale (SG). Our role and purpose are to enable the strategic vision of Société Générale Group. We are doing this by pioneering cutting edge innovation from Design Thinking to Smart Automation & Artificial Intelligence and applying it to banking. SG GSC provides services in the areas of Application Development and Maintenance, Infrastructure Management, Business Process Management, and Knowledge Process Management to Société Générale business lines around the world.

“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”