Risk Analytics Lead

Join us as a "Risk Analyst" in ORRO Automation and Data Analytics team, responsible to design, develop and maintain business applications and solutions for ORRO (Operational Risk and Risk Oversight) function within the Risk department with an aim to :

• Build data analytics which improve and enhance operational risk monitoring.
• Automate current processes to achieve efficiency and control improvements.
• Support ORRO leadership in various strategic initiatives and programmes where required.

To be a Successful "Risk Analyst" the ideal candidate would be responsible for leveraging innovative data analytics and machine learning techniques to drive actionable insights from the bank's data assets, working closely with key stakeholders across business and technology teams to support data- driven decision-making, enhance operational efficiency, and drive innovation across the organisation.

You may be assessed on the key critical skills relevant for success in role, such as knowledge of SQL and Python Programming languages, Tableau/ PowerBI, knowledge of Gitlab, cloud concepts (code deployment).

Essential Qualifications / Skills :

• Experience in risk management / control assurance.
• Ability to identify and learn emerging data analytics technologies and utilise them to deliver practical business solutions.
• Ability to perform complex quantitative analysis and translate results into meaningful business insights.
• Exposure to Natural Language Processing (NLP) techniques, with the ability to work with unstructured text data to extract key information and insights.
• Experience in / knowledge of automation tools and techniques such as Web Apps based on Python, Power Apps and Power Automate.
• Extensive knowledge of Gitlab and cloud concepts (code deployment).
• Experience in / knowledge in data analytics and business intelligence (BI) platforms - Tableau / Power BI.
• Mandatory knowledge of SQL and Python Programming languages.
• Experience of working on at least two complete Data Analytics project. End to End life cycle from Investigation to productionizing the solution.

Preferred Skills:

• Development and execution of data extraction strategies to gather relevant data from various sources, including internal systems, external databases, and third-party vendors.
• Basic understanding of Generative AI tools and concepts, and how they can be applied to simplify analysis, improve reporting, or enhance automation within operational risk processes.
• Hands‑on experience using modern AI frameworks or platforms (e.g., Azure OpenAI or similar) to support data‑driven solutions.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.
• Experience in training end users on data analytics technologies.

This Role is based out of Noida.

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.

• Designing and building data pipelines to automate data movement and processing.

• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.

• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.

• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.

• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes

• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.

• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.

• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.

• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.

• Take ownership for managing risk and strengthening controls in relation to the work done.

• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.

• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.

• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.

• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.

• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.