Data Steward

Permanent contract|Bangalore|Risks

Data Steward

Bangalore, India Permanent contract Risks


Role Description:

  • Partner with business and technology to identify data flows and golden sources

  • Identify gaps in data flow of manual processes and controls.

  • Implement with GBSU independent data quality controls (ID-Q) to inform data quality scoring

  • Partner with technology to implement improved lineage and quality of critical data elements and perform annual re-certification of metadata and data lineage

  • Facilitate the collection of data quality problems from RISK teams (problems detected in production or in ongoing projects) analyze them, estimate the financial or any other issues in relation to the operations and define the entities in charge of the remediation.

  • Conduct data quality remediation in project mode if it is the responsibility of RISQ/DTO

  • Collaboration with technology, operations, and other transversal functions to produce required dashboards, metrics, KPIs

  • Participate/contribute in discussions on relevant data quality indicators,designing of new DQ dashboard and their analysis in RUN mode, new functionalities in IT tools and the positioning of automatic/manual controls that will allow to calculate these indicators

  • Contribute to change management actions for RISK users related to data quality

  • Contribute to the facilitation of Data Quality governance within RISQ

  • Data modeling and implementing reporting best practices

Profile required

Technical Skills:

  • Design, build, integrate data from various resources.

  • Data management expertise in defining Metadata, Quality and Lineage for critical data elements.

  • Expertise in tools that are used in Data Analytics. (Advanced Excel, Power BI, Business Objects, SQL)


  • Graduate in computer science or in finance. Certification courses in Data Science, ML/AI tools


  • 5+ years of experience, particularly in the banking business lines, risk or finance, credit risk business lines. The knowledge

Business Knowledge:

  • Experience working with Global Banks in their Risk & finance function.

  • Good understanding of the Wholesale/Retail banking focusing on Credit & Market portfolio of the bank and the risk governing the business.

  • Thorough knowledge on the functional and technical architecture of the information systems applicative to Credit data.

  • Good understanding on the Banking Standards & regulations pertaining Banking Data (BCBS239, GDPR)

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


The Digital and Transformation Office (DTO) is an important transversal partner within the Risk division (second line of defense of the bank), providing oversight for transformation projects, simplifying processes and ensuring data quality.

Data management office (DMO) is one of the critical functions of DTO aiming at managing the data that is used by Risk analyst/experts and management for quantitative analysis and decision making.

DMO comprise Data Analysts who are responsible to identify the Data quality issues from upstream systems/databases, report those anomalies, perform root cause analysis (as per materiality), develop remediation plan along with IT teams & monitoring of the resolution through status dashboard.

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.

Reference: 210002WS
Entity: SG Global Solution Centre
Starting date: 2021/05/04
Publication date: 2021/02/01