Business Risk Data Analyst

Royal Bank of Scotland; Bengaluru; On-site; INR 600,000 - 860,000; Full time

Job summary

Royal Bank of Scotland in Bengaluru seeks an associate-level Business Risk Data Analyst to drive data-driven risk insights across Commercial & Institutional Banking. You will work on data extraction, processing and visualization, supporting automation and AI-enabled initiatives.

You’ll profile data, define data standards, and translate risk requirements into functional data solutions while collaborating with stakeholders to deliver measurable business impact.

Qualifications

• Experience using data analysis and visualization tools to deliver insights in risk or technology environments.
• Ability to translate data into clear insights and requirements for technical and non-technical stakeholders.
• Experience mapping data flows and documenting data definitions, standards and models.

Responsibilities

• Collect, profile and map data to support reporting, automation, and AI-enabled solutions.
• Analyze and document risk processes and data flows for consistent definitions and models.
• Translate business risk requirements into data solutions and automated processes.
• Collaborate with stakeholders across Business Risk, Corporate Services and Growth Office to deliver data-led initiatives.

Skills

Data analysis

Data visualization

Stakeholder collaboration

Cloud AWS

Tools

Amazon QuickSight

Microsoft Power Platform

Job description

Join us as a Business Risk Data Analyst

Join a forward-thinking Data, Automation and AI team that is shaping the future of risk insight across Commercial & Institutional Banking

We'll 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

What you'll do

As a Business Risk Data Analyst, you'll play an important role in delivering data-driven solutions that support risk management and decision-making. You'll 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, you'll 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

The skills you'll need

Our bank is dedicated to using data, automation and AI responsibly to improve risk management and business outcomes. We're 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. You'll combine strong analytical thinking with curiosity for exploring data and solving problems through insight and innovation.

We'll 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

Hours

45

Job Posting Closing Date:

19/10/2026