Business Risk Data Engineer
NatWest Group (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted on 23 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and implement automated data-driven solutions to protect private bank information and monitor data quality, integrity, and security.
- Simplify and automate ETL processes using innovative data techniques and AI-driven tools to remove manual labor and support commercial success.
- Deliver clear data reports and collaborate with cross-functional Business Risk teams to influence strategic decisions and enhance risk detection.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD.
- Strong understanding and practical experience with AWS products and tooling for data usage and dependencies.
- Proficiency in ETL technical design, data sourcing, data modelling, data visualisation, and programming languages relevant to data engineering.
- Knowledge of risk management, information security, modern code development practices, version control, and process automation using AI tools.
- Must be based in India with work performed locally in Bangalore.
Ideal Candidate Profile
- Experienced in handling large-scale data extraction, value derivation, and feature engineering within a business risk or financial information security context.
- Able to build reusable, scalable data tools and automated AI processes to solve complex business problems in risk management.
- Capable of engaging proactively with diverse stakeholders to deliver strategic data solutions in a regulated financial environment.