Data Wrangling Lead Expert

Role Level: Lead Expert – Model Risk Management

Role Classification: Expert

Department: MDL/DAT (Models > Data)

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”

As part of the SG GSC RISQ Department, you will be at the center of Société Générale business. The SG GSC RISQ Department aims to contribute to the development of business lines and their profitability through a challenging risk culture.

Working within the SG GSC RISQ Department is intellectually stimulating, and current economic activities guide our analysis on a daily basis. As a key business partner, the department is in close proximity to all of the Group’s business lines. Joining us would mean integrated into a network of proven excellent at the very center of bank’s activities, opening access to new and exciting development opportunities.

Within the SG GSC RISQ department, the Models Data (MDL/DAT) team is responsible for construction of modelling and monitoring bases and data quality management for regulatory credit risk (PD, LGD and EAD) and provision (IFRS9) models. The team’s mission is to collect, organize and assess data to create efficient and quality input for credit risk models.

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 domain expertise in cross-functional processes and businesses interactions.

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

•          Perform root-cause analysis and resolve any team hurdles.

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

•          Know upstream and downstream processes of cluster.

EDUCATIONAL QUALIFICATION:

Masters or PhD (or similar) 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 model data wrangling.

•          Demonstrated strong communication, negotiation, interpretation, and problem-solving skills.

•          Ability to guide experts.

•          Constant product and functionality upskilling.

•          Good SAS and SQL knowledge.

•          Good to have experience in Python and PowerBI.

LEADERSHIP SKILLS:

Client Focus, Team Sprit, Commitment, Responsibility, Ownership, and Innovation