Credit Risk Modeling Course.
Build Bank-Grade Models.

Self-paced plans start from ₹25,000. Live cohort from ₹45,000. Full Credit Risk Modeler bundle with both capstones, placement support and 1:1 mentoring from ₹75,000. EMI from ₹2,500/month. All plans include datasets, notebooks and lifetime recording access.

Entry level: ₹6-10 LPA. Mid level (3-6 yrs): ₹12-24 LPA. Senior modelers & model risk leads: ₹28-50+ LPA. Global GCC & offshore roles at Deutsche, Barclays, HSBC cross $80K-$200K. Credit risk modelers earn a 20-35% premium over general risk analysts.

Python (pandas, scikit-learn, statsmodels) for PD / LGD models, SAS for scorecard development and bank compliance, Excel/VBA for monitoring packs, and Power BI for risk dashboards. You'll also work with sample loan-book datasets modelled on real retail and corporate portfolios.

No prior coding experience is required — Python and SAS are taught from scratch in the context of credit risk. A basic grounding in statistics, regression and lending fundamentals helps, but we cover all required pre-reads in Module 0.

Live cohort runs 14-16 weeks at 4-6 hrs per week. Self-paced learners typically finish in 8-12 weeks. Includes 2 capstones — a retail scorecard and an IFRS 9 ECL model — plus a portfolio review before placements.

Yes. The curriculum is mapped to hiring tests at banks (HDFC, ICICI, Deutsche, Barclays, HSBC), NBFCs and Big 4 model-validation practices. You receive a QuintEdge completion certificate, your capstone portfolio and a LinkedIn-ready credential.

FRM is a broad risk exam covering market, credit, operational and investment risk. Credit Risk Modeling is hands-on, applied training in credit-risk models only, with tooling (Python/SAS/Excel). Many students do both — this course first for hiring skill, FRM later for certification.

Credit Risk Analyst, Credit Risk Modeler, Model Validation Analyst, IFRS 9 / ECL Specialist, Scorecard Developer, Basel / IRB Analyst, Quantitative Risk Analyst, Risk Consultant at Big 4 and risk advisory firms.

Yes. Resume optimisation for credit-risk profiles, mock interviews (technical + case), direct referrals to 150+ hiring partners including HDFC, ICICI, SBI, Deutsche, Barclays, HSBC, JP Morgan, Moody's, Fitch, Big 4 and top NBFCs.

Practitioners with direct bank model-development experience — PD / LGD build, IFRS 9 implementation, Basel submissions — backed by CA, FRM, PRM and PhD credentials. The faculty bench includes ex-Deutsche, ex-Citi and ex-Big 4 risk modelers.

Yes — two capstones. (1) Build and validate a retail application scorecard on a 50K-row loan book. (2) Compute IFRS 9 12-month ECL + lifetime ECL for a corporate portfolio under three macro scenarios. Both go into your placement portfolio.

PD = Probability of Default, LGD = Loss Given Default, EAD = Exposure at Default. You will build logistic regression PD models, LGD regression and Tobit models, EAD estimation via CCF, and combine them into expected loss and IFRS 9 ECL calculations — the same model suite banks ship to production.

Yes. IFRS 9 staging (Stage 1, 2, 3), 12-month and lifetime ECL, macro overlays, model monitoring and audit packs. Basel III — IRB approach, RWA computation, capital adequacy, model risk management and SR 11-7 validation standards.

Yes. Global Capability Centres (GCCs) of Deutsche, Citi, HSBC, Barclays, JP Morgan and Moody's in India hire directly for Singapore, London, New York and Dubai. Strong modeling skill + SAS / Python + IFRS 9 or CECL exposure is the hiring lever.

Yes. Most cohorts are evening + weekend (Sat/Sun). The self-paced option lets you schedule around work. 60% of our students are working professionals from banks, NBFCs, consulting and IT services.

A general ML course teaches algorithms on synthetic datasets. This course teaches model-build in the regulated banking context — PSI, CSI, IV/WoE, Gini, KS, calibration, back-testing, audit documentation, model validation — which is what banks actually need and regulators verify.

Yes. Every module ships with sample datasets, Jupyter notebooks, SAS code, Excel templates and monitoring packs. All material is yours to keep and reference in your job post-placement.

Yes. RBI's EL framework, IFRS 9 adoption and Basel III Final Reform are driving hiring across banks and NBFCs. LinkedIn shows credit risk modeler roles up 38% YoY. Salaries are benchmarked 20-35% above general risk-analyst roles.

Book a free 15-minute counselling call via the form on this page. Our admissions team will map the right plan (self-paced / live / premium) to your goal, share the detailed syllabus, batch dates and payment options.