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Project Director/Manager - IFRS 9 Credit Risk Modelling

Acies LLP · Mumbai
Senior
Pay₹20L–50La year, as listed
WhereMumbaiMaharashtra
TypeFull time
Posted15 Oct19 days ago, via SimplyHired
Kaam checked
No fee, deposit or pay-to-apply signs
Good spoken and written English expected
Day work
No vehicle or licence needed
Skills they list100 named
Project team coordinationPerformance dashboard reportsFinancial risk management oversightRisk assessmentsBusiness development managementDashboard developmentScenario planningLead generation from existing customersProject organisationSales supportProject development phase managementData preprocessingCustomer relationship buildingExecutive communicationProject resource allocationData analysis reportingFinancial modellingPredictive modelling analysisRegulatory analysisUnderwritingCredit risk assessmentSASTeam leadershipSpreadsheetsMultidisciplinary project coordinationData quality assuranceMentoring junior staffRDashboard creation supportPortfolio credit monitoringCompliance audits and assessmentsEnglishMetrics reportingClient relationship developmentIFRSTechnical report writingSAS languageTrend analysisComputational modellingBusiness consultingScenario modellingSQLTeam developmentCredit risk analysisPolicy analysisBusiness developmentLogistic regressionOutlier detectionBachelor's degreeRisk management framework implementationFinancial consultingFinancial Risk Manager (FRM)Client servicesFinancial regulatory audit coordinationCustomer relationship managementMentoringRisk assessment data analysisProject resource planningProject stakeholder reportingPolicy writingStakeholder reportingQuantitative modelling analysisManagement information systemsProject schedule trackingVBASensitivity analysisBusiness development in financeClient communication managementManagement reportingChange impact assessmentAI implementationAccounting standardsProject progress reportingPredictive analytics projectsClient communication skillsProject governance oversightBenchmarkingChartered AccountantIndian Accounting StandardStatus reportingProject client reportingChartered Financial AnalystFinancial data analysis toolsProject planning phaseProvisioning (financial close procedures)Stakeholder expectation managementPythonClient liaisonResults verificationStress testingTeam coordinationRegulatory compliance managementFinancial reporting to stakeholdersScenario analysisAudit supportLimit setting in risk managementSegmentation analysisProgress trackingData analysis softwareStakeholder management
About this job

Key responsibility areas

A. Engagement delivery and project leadership

Independently lead and manage consulting engagements with leading banks, financial institutions, NBFCs, insurance companies, and corporates across credit risk modelling, credit policy, regulatory capital, IFRS 9, and model risk management.

Own end-to-end delivery
scoping, project planning, resourcing, risk identification, mitigation, stakeholder coordination, and sign-off.

Lead client conversations on methodology, assumptions, model design, policy interpretation, regulatory expectations, and business impact.

Drive day-to-day execution of assigned client projects and produce regular status reporting for management on progress, challenges, and key milestones.

Manage audit, internal review, and regulator interactions related to models, credit policy, capital computation, ECL, and provisioning.

B. Credit risk modelling and scorecards

Lead development, review, and redevelopment of credit scorecards across the customer lifecycle: application, behavioural, collection, and bureau scorecards.

Lead development and review of credit rating and scoring models, including PD, LGD, and EAD models for retail and wholesale portfolios.

Own the full model development lifecycle: data preparation, treatment of missing values and outliers, WOE / IV analysis, variable selection, segmentation, model building (logistic regression, decision trees, gradient boosting, and other ML techniques), scaling, cut-off setting, and calibration.

Define and implement model monitoring frameworks: PSI, CSI, Gini / AUC, KS, lift, vintage and stability analysis, and trigger-based redevelopment.

Support credit strategy design, including approval / rejection / limit assignment strategies and risk-based pricing inputs. Produce clear, defensible model documentation and validation-ready model development reports.

C. Credit risk policy, framework, and regulatory capital

Review, design, and draft credit risk policies covering credit appraisal, underwriting, delegation of authority, collateral management, credit monitoring, EWS, restructuring, NPA / IRAC classification, provisioning, and write-off.

Assess policy effectiveness against regulatory requirements and internal risk appetite, and recommend enhancements.

Lead credit RWA computation under Standardised and IRB (F-IRB / A-IRB) approaches. Support capital adequacy (CRAR), capital conservation buffer, leverage ratio, ICAAP, and stress testing exercises.

Build and review stress testing and scenario analysis frameworks for credit risk, including portfolio-level impact assessment.

Interpret and apply RBI, Basel III / IV, and Middle East regulatory expectations on credit risk, capital, and provisioning.

D. Portfolio analytics

Lead portfolio analytics covering vintage analysis, roll-rate and migration matrix, delinquency and bucket movement, concentration risk, and portfolio ECL.

Build collections and recovery analytics, including recovery rate modelling and prepayment behaviour analysis.

Develop portfolio dashboards and MIS for risk committees, boards, and regulators.

Identify emerging risk trends and recommend corrective actions at portfolio level.

E. IFRS 9 / Ind AS 109 impairment

Lead IFRS 9 / Ind AS 109 impairment workstreams covering staging, SICR assessment, ECL computation, and enhancement of ECL and provisioning approaches.

Design and review macro-economic scenario design, satellite models, and forward-looking overlay adjustments.

Support IFRS 9 transition and implementation, including parallel run, impact assessment, and disclosure requirements.

Align IFRS 9 ECL with credit policy, provisioning policy, and regulatory capital frameworks.

F. Model risk management

Lead model validation and independent review: conceptual soundness, data quality, methodology review, back-testing, benchmarking, sensitivity analysis, and outcome analysis.

Design and strengthen model risk management frameworks, including model governance, model inventory, model tiering, validation standards, and ongoing monitoring.

Define model risk appetite, model risk reporting, and escalation protocols.

Support regulatory and audit reviews on model risk management practices.

G. Practice, people, and business (Project Director emphasis)

Lead and be responsible for team mentoring, project management, and client delivery.

Own project revenue, margin, and resource utilization for assigned engagements.

Generate business from existing clients and support pre-sales, proposals, and solutioning for new clients.

Build and scale the credit risk consulting practice, including hiring, capability building, and reusable methodologies, scorecard templates, and accelerators.

Represent Acies in client leadership forums and industry discussions on credit risk, IFRS 9, capital, and model risk.

Highlight of the engagement opportunity

Nature of role
Full time

Number of years of experience expected: Project Manager: 8–13 years, including at least 5 years hands-on in credit risk modelling, credit analytics, credit policy, or regulatory capital. Project Director: 13–20 years, including at least 7 years in the above, with proven ownership of delivery, revenue, and client relationships. o Candidates without direct credit risk modelling / analytics experience will not be shortlisted, regardless of general risk consulting pedigree.

Areas of past experience preferred / mandatory

Credit risk modelling and scorecards: application, behavioural, collection, and bureau scorecards; credit rating and scoring models; PD / LGD / EAD models; scorecard development lifecycle including data preparation, WOE / IV analysis, logistic regression and machine learning models, cut-off setting, calibration, validation, monitoring, and redevelopment.

Credit risk policy and framework: credit policy, underwriting and credit appraisal, delegation of authority, credit monitoring, early warning signals (EWS), restructuring, NPA / IRAC classification, provisioning, and write-off policy.

Regulat

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