BENGALURU · FULLTIME
Business Risk Data Analyst

NatWest
Bengaluru · onsite · Posted 4d ago
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Section · 01
About this role
Join us as a Business Risk Data Analyst
Responsibilities- Join a forward-thinking Data, Automation and AI team that is shaping the future of risk insight across Commercial Institutional Banking
- Well look to you to provide high-quality analytical expertise that supports innovative automation, data and AI-driven solutions driving across Business Risk
- This is a hands-on opportunity to deepen your technical and analytical skills while working on initiatives that deliver meaningful business impact
- We're offering this role at associate level
As a Business Risk Data Analyst, you'll play an important role in delivering data-driven solutions that support risk management and decision-making. Youll work across the data lifecycle, from extraction, processing and analysis through to visualisation and automation, helping make sure data is accurate, reliable and fit for purpose.
Day-to-day, youll also be:
- Collecting, profiling and mapping data to support reporting, automation initiatives and AI-enabled solutions
- Analysing and documenting risk process and data flows, helping establish consistent data definitions, standards and models
- Translating business risk requirements into functional and data solutions, supporting the development of automated processes and self-service analytics capabilities
- Building and maintaining collaborative partnerships with key stakeholders across Business Risk, Corporate Services and the Growth Office to support the successful delivery of data-led initiatives
Our bank is dedicated to using data, automation and AI responsibly to improve risk management and business outcomes. Were looking for someone with experience using data analysis and visualisation tools to deliver meaningful insight within a Risk or Technology environment. Knowledge of Amazon QuickSight or Microsoft PowerPlatform solutions would be advantageous. Youll combine strong analytical thinking with curiosity for exploring data and solving problems through insight and innovation.
Well also look for:
- An in-depth understanding of the interrelationships of data structures, relationships and multiple data domains, with experience working within cloud-based data environments such as AWS
- Experience delivering analysis and insight using both qualitative and quantitative data across a range of business and risk-related subjects
- Strong communication and influencing skills, with the ability to translate complex data into clear insights and requirements for both technical and non-technical stakeholders
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Section · 02
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