Credit Analyst

Barclays Corporate Banking; Dadri; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Barclays Corporate Banking in Noida is seeking a Credit Analyst to support risk data gathering, analysis, and reporting for decision making and regulatory compliance.

You will work with SAS, Python, AWS, Databricks, SQL, Tableau/Power BI, and Excel to develop and enhance risk reports across credit, market, operational, and liquidity domains. The role emphasizes automation and strong stakeholder collaboration.

Qualifications

• Bachelor's degree in a quantitative field and banking experience.
• Experience in Retail Credit Risk Management, Risk Analytics, or Risk Reporting.
• Hands-on with SAS, SQL, Python, Databricks, AWS, Tableau/Power BI, and Advanced Excel.
• Experience in delivering regulatory, management, or portfolio risk reporting.
• Strong data governance and reporting validation knowledge.
• Proven automation and process-improvement track record.
• Strong stakeholder management and communication skills.
• Ability to manage multiple priorities and tight timelines.

Responsibilities

• Develop and maintain risk reports: credit, market, operational, liquidity, regulatory.
• Extract risk data from internal systems, risk models, and external feeds.
• Analyze data to identify trends, patterns and outliers and assess exposure.
• Monitor KRIs and metrics to identify risks and track mitigation effectiveness.
• Drive reporting improvements and automation initiatives.

Skills

SAS

SQL

Python

Databricks

AWS

Tableau/Power BI

Advanced Excel

AI/GenAI solutions

Education

Bachelor's degree in Engineering, Mathematics, Statistics, Finance

Job description

Job Description

Purpose of the role

To gather, analyse, and present risk data in a clear and concise manner to stakeholders across the organisation, facilitating informed decision‑making, risk mitigation, and regulatory compliance.

Accountabilities

• Development and maintenance of a variety of risk reports, including credit, market, operational, and liquidity risk reports, and regulatory reports.
• Extraction of risk data from various sources, including internal systems, risk models, and external market data feeds.
• Analysis of risk data to identify trends, patterns, and outliers, and assess the impact of risk exposures.
• Monitoring key risk indicators and metrics to identify emerging risks and track the effectiveness of risk mitigation strategies.
• Development and implementation of risk reporting improvements and automation initiatives.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in‑depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• 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 develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your workand areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub‑function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub‑function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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.

Join us as a "Credit Analyst" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting‑edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.
You may be assessed on the key critical skills relevant for success in this role, such as experience with SAS, Python, AWS, Databricks, SQL, Tableau/Power BI, Excel, AI/GenAI solutions, as well as job‑specific skillsets.

To be successful as a Credit Analyst, you should have experience with:

Basic/ Essential Qualifications:

• Bachelor's degree in Engineering, Mathematics, Statistics, Finance, or a related quantitative discipline.
• Experience in the Banking or Financial Services industry.
• Strong experience in Retail Credit Risk Management, Risk Analytics, or Risk Reporting.
• Hands‑on experience with SAS, SQL, Python, Databricks, AWS, Tableau/Power BI, and Advanced Excel.
• Experience in delivering regulatory, management, or portfolio risk reporting.
• Strong understanding of data governance, data quality controls, and reporting validation processes.
• Proven track record of automation and process improvement, reducing manual effort and enhancing control frameworks.
• Strong stakeholder management, communication, and problem‑solving skills.
• Ability to manage multiple priorities and deliver within tight reporting timelines.

Desirable skillsets/ good to have:

• Strong understanding of Credit Risk concepts and Portfolio Performance Monitoring.
• Experience supporting regulatory reporting and committee reporting.
• Knowledge of BCBS239, data lineage, data governance, and reporting control frameworks.
• Experience working with large‑scale cloud platforms, particularly AWS.
• Exposure to AI/GenAI‑powered automation and reporting solutions.
• Experience in dashboard development and visualization using Tableau or Power BI.
• Experience working with cross‑functional teams including Technology, Finance, Data, and Risk stakeholders.

This role will be based out of Noida.