Data Architect Job in Societe Generale

Profile required

1) Strong experience in MEGA-HOPEX, ARIS, SPARX EA, Rational Rose (relevant experience in all or atleast in two)

2) Applicant should have minimum 15 years of experience

3) Strong knowledge on Enterprise Architecture in functional and Application areas, potential functional knowledge in Finance, Risk HR, and Referential.

4) String understanding and experience in BCBS 239(Principles for effective risk data aggregation and risk reporting)

5) Good to have experience in Big Data Ecosystem(Hadoop, Spark, Cloudera Distribution)

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 .

Business insight

Soci t G n rale is one of the largest financial services groups in the euro-zone. The Group employs 151,000 people worldwide in three key businesses: Retail Banking & Financial Services: Soci t G n rale serves 30 million individual customers worldwide. Global Investment Management & Services: Soci t G n rale is one of the largest banks in the euro-zone in terms of assets under custody and under management. Corporate & Investment Banking: Soci t G n rale ranks among the leading banks worldwide in euro capital markets, derivatives and structured finance The position is part of Bangalore team developing real-time, multithreaded, highly complex trading systems for Investment Banking division of Societe Generale. The position offers opportunity to specialize in a core investment banking domain with exposure to trading business process, complex financial products, risk and pricing management. It offers opportunity to apply and learn high end technical architecture with performance, scalability, adaptability and reactivity concerns. Its offers opportunity to master and enhance exciting Agile software development practices exhibiting accuracy, business agility, risk and value driven approach thereby installing self confidence, self learning, and collective ownership principles.