{"id":3269206,"url":"https://alion.io/job/idfc-first-bank-sr-data-analyst","title":"Sr. Data Analyst","company":{"id":720227,"name":"IDFC FIRST Bank","domain":"idfcfirst.bank.in","url":"https://alion.io/company/idfcfirst","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":31000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-26T10:35:46Z","employer_posted_date":null,"last_verified_at":"2026-10-26T10:35:46Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for a Senior Data Analyst to own and strengthen the monitoring, governance, and performance management of credit risk and ECL models. This role sits at the intersection of Risk, Finance, and Analytics, ensuring models remain accurate, compliant, and audit-ready under IFRS 9 / Ind AS 109\n\nThe core responsibilities for the job include the following:\n\nModel Monitoring and Performance Management: \nOwn ongoing monitoring of credit risk and fraud risk models.\nDesign and execute monitoring frameworks covering predictive performance, stability, drift, and back-testing.\nIdentify early warning signals of model deterioration and recommend corrective actions.\n\nECL Framework Ownership: \nMaintain and enhance the end-to-end ECL framework in line with IFRS 9 / Ind AS 109\nManage staging logic, SICR assessment, macroeconomic scenarios, probability weighting, and management overlays.\nPartner with Risk and Finance teams to ensure accurate and timely impairment calculations.\n\nModel Governance, Audit, and Validation: \nAct as the primary point of contact for internal auditors, external auditors, model validation teams, and regulators.\nRespond to audit and validation queries related to model methodology, assumptions, data quality, and monitoring outcomes.\nEnsure timely closure of audit and validation observations.\n\nDocumentation and Governance: \nPrepare and maintain comprehensive model documentation, including methodologies, monitoring reports, change logs, and governance papers.\nSupport model approvals, reviews, and escalations through internal risk committees.\nEnsure strong traceability and adherence to model risk management policies.\n\nStakeholder Collaboration and Reporting: \nWork closely with Risk, Finance, Data, and Technology teams to ensure smooth model implementation and stability.\nPrepare concise and insightful model performance and ECL reports for senior management and governance forums.\n\nSuccess Metrics: \nModels consistently performing within approved thresholds.\nAccurate, timely, and regulatorily compliant ECL calculations.\nMinimal audit and validation observations with timely closure.\nStrong governance, documentation quality, and controlled model changes.\n\nRequirements: \n4+ years of experience in credit risk modelling, ECL modelling, or model risk management within a regulated financial institution.\nStrong understanding of PD, LGD, EAD models, staging logic, SICR, and macroeconomic overlays.\nHands-on experience in model monitoring, back-testing, and performance tracking.\nProven experience working with auditors, validation teams, and regulators.\nWorking knowledge of Python (PySpark is a plus).\nStrong communication skills with the ability to explain complex model concepts to non-technical stakeholders.\nBachelor's or Master's degree in Mathematics, Statistics, Econometrics, Finance, Economics, Engineering, or a related quantitative field.\nSkills\nECL, IFRS 9, Ind AS 109, Python, credit risk, expected credit loss, model 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