A 100% owned subsidiary of European banking and financial services major Societe Generale (SG), Societe Generale Global Solution Centre (SG GSC) came into existence in 2000. Established as an offshore development centre in Bangalore, also having a presence in Chennai, SG GSC has 15 years of sustainable delivery expertise to its credit, and develops global best practices to promote the strategic objectives of the Societe Generale Group.
SG GSC possesses in-depth understanding of the business processes and cutting-edge technologies across domains of Societe Generale's diverse portfolio. We deliver best-in-class solutions to the Group's entities in the realm of corporate and investment banking, retail banking, specialized financing and insurance, private banking, and global investment management and services.
We place the highest importance on our employees and provide extensive opportunities for career progression and development. SG GSC conforms to the group diversity principles, and has a multi-cultural staff representing seven nationalities, and speaking 20 languages. Women comprise 25% of our workforce.
Conduct, own & deliver experiments and proof of concepts to validate different business ideas and potential value.
Design, development, evaluation and monitoring of predictive models and advanced machine learning algorithms that help business to drive decisions
Carry out data processing and analysis activities including statistical analysis, variable selection,
dimensionality reduction, custom attribute engineering, etc.
Leverage methods from diverse disciplines like machine learning, deep learning, statistical modelling, information theory, information retrieval and other areas to gain customer insights, draw conclusions and work with business partners to put those insights into action.
Test, troubleshoot and enhance the developed models in distributed environments to improve it's accuracy.
Work closely with business partners, technology and customer analytics teams to evaluate new and alternate data sources as well as computing paradigms and analytical tools.
Participate in data architecture decisions and partner with technology teams to implement models/algorithms in production systems.
Be part of a growing and exciting team and help document your assumptions, methodologies, as well as carry out validation and testing to facilitate peer reviews and independent model validation.
Facilitate integration with enterprise applications using APIs to enrich implementations.
Present and communicate necessary analysis and outputs to explain results and methodologies to non-technical stakeholders.
Why Join Us
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 Centre (SG GSC), a 100% owned subsidiary of European banking major Société Générale (SG). Our role and purpose is 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 Global Solution Centre provides services in the areas of Application Development and Maintenance, Infrastructure Management, Business Process Management, and Knowledge Process Management to Société Générale's business lines around the world.
We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents , regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, sexual or gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.
Job code: 1900039O
Business unit: SG Global Solution Centre
Starting date: Immediate
Date of publication: 14/02/2020