{"id":1214002,"url":"https://alion.io/job/barclays-credit-analyst","title":"Credit Analyst","company":{"id":12541,"name":"Barclays","domain":"home.barclays","url":"https://alion.io/company/barclays-uk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":118,"ghost_share":0.008,"stale_share":0.356,"repost_share":0.093,"time_to_fill_p50_days":13,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Finance","role_family":"Finance","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-25T06:45:39Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-27T11:19:30Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description\nPurpose of the role\nTo 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.\nAccountabilities\nDevelopment and maintenance of a variety of risk reports, including credit, market, operational, and liquidity risk reports, and regulatory reports.\nExtraction of risk data from various sources, including internal systems, risk models, and external market data feeds.\nAnalysis of risk data to identify trends, patterns, and outliers, and assess the impact of risk exposures.\nMonitoring key risk indicators and metrics to identify emerging risks and track the effectiveness of risk mitigation strategies.\nDevelopment and implementation of risk reporting improvements and automation initiatives.\nAnalyst Expectations\nTo perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.\nRequires in-depth technical knowledge and experience in their assigned area of expertise\nThorough understanding of the underlying principles and concepts within the area of expertise\nThey lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.\nIf 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.\nOR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.\nWill have an impact on the work of related teams within the area.\nPartner with other functions and business areas.\nTakes responsibility for end results of a team’s operational processing and activities.\nEscalate breaches of policies / procedure appropriately.\nTake responsibility for embedding new policies/ procedures adopted due to risk mitigation.\nAdvise and influence decision making within own area of expertise.\nTake ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.\nMaintain 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.\nDemonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.\nMake evaluative judgements based on the analysis of factual information, paying attention to detail.\nResolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.\nGuide and persuade team members and communicate complex / sensitive information.\nAct as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.\nAll 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.\n.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.\nYou 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.\nTo be successful as a Credit Analyst, you should have experience with:\nBasic/ Essential Qualifications:\nBachelor's degree in Engineering, Mathematics, Statistics, Finance, or a related quantitative discipline.\nExperience in the Banking or Financial Services industry.\nStrong experience in Retail Credit Risk Management, Risk Analytics, or Risk Reporting.\nHands-on experience with SAS, SQL, Python, Databricks, AWS, Tableau/Power BI, and Advanced Excel.\nExperience in delivering regulatory, management, or portfolio risk reporting.\nStrong understanding of data governance, data quality controls, and reporting validation processes.\nProven track record of automation and process improvement, reducing manual effort and enhancing control frameworks.\nStrong stakeholder management, communication, and problem-solving skills.\nAbility to manage multiple priorities and deliver within tight reporting timelines.\nDesirable skillsets/ good to have:\nStrong understanding of Credit Risk concepts and Portfolio Performance Monitoring.\nExperience supporting regulatory reporting and committee reporting.\nKnowledge of BCBS239, data lineage, data governance, and reporting control frameworks.\nExperience working with large-scale cloud platforms, particularly AWS.\nExposure to AI/GenAI-powered automation and reporting solutions.\nExperience in dashboard development and visualization using Tableau or Power BI.\nExperience working with cross-functional teams including Technology, Finance, Data, and Risk stakeholders.\nThis role will be based out of Noida.","description_format":"text","description_chars":5600,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Cards & Card Issuing","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-25T06:45:39Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":13,"reasons":["conf:6","velocity","win:early","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/barclays-credit-analyst","json_url":"https://alion.io/job/barclays-credit-analyst.json","meta":{"generated_at":"2026-09-28T00:30:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":113,"day_limit":5000,"remaining_today":4887,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}