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Location
In office (Bengaluru)
Visa
Sponsors visas in United States, United Kingdom; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Société Générale scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Société Générale is a French universal bank headquartered in Paris, with its main offices at La Défense, that provides retail banking in France, international retail banking and financial services, and corporate and investment banking. Founded in 1864, it is one of Europe's largest banking groups, operating in dozens of countries, listed on Euronext Paris and owning brands such as SG, Boursorama and Ayvens. Its postings cover retail branch advisers and SME relationship managers, recovery and risk staff, front office application support, IT analysts, quantitative analysts and many internships and VIE assignments.

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

  • 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.

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