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Edstellar

Credit Risk Modeling Corporate Training

Instructor-led credit risk modeling training for bank risk, finance, and validation teams

This corporate training program helps your team Learn the expected loss framework, Develop defensible PD, LGD, and EAD models, and Build validation-ready credit models. Edstellar, a corporate training company focused on finance, prepares employees for the workflows supervisors expect.

Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries

How we build a model-confident credit risk team

The Edstellar CREDIT RISK MODELING Capability Model

Powered by Edstellar
  1. Diagnose

    We assess your team's modeling maturity, data readiness, and validation gaps before the first session.

  2. Standardize

    Core methods for PD, LGD, EAD, and expected loss are taught one consistent way across your teams.

  3. Practice

    Guided labs have teams build scorecards, estimate parameters, and backtest on real-world portfolio data.

  4. Measure

    Lab checks and the capstone review measure whether each participant can build and defend a model.

  5. Scale

    Templates, datasets, and methods transfer to your live portfolios so capability grows after the program.

28
approxhours
7modules
DeliveryInstructor-led(Onsite / Virtual / Hybrid)
4+ Expert trainers
4.8/547 reviews

Need more than one program?Get a group quote

Trusted as a Leading Corporate Training Provider by

ABB
Aditya Birla Group
Adobe
Amazon
Autodesk
Emerson
Godrej
Intel
Johnson & Johnson
MediaTek
Microsoft
NRSC
Sportskeeda
Tata Chemicals
total
Visa

Program Overview: What is Credit Risk Modeling Corporate Training?

Credit Risk Modeling Corporate Training is a 28-hour instructor-led program for modelling, risk, finance, and validation teams that build and challenge credit risk models. Across seven modules, participants work through credit risk foundations and the regulatory landscape, credit data sourcing and feature engineering, probability of default models and scorecards, LGD and EAD estimation, model validation with backtesting and stress testing, and IFRS 9 expected credit loss with portfolio integration. It closes with an end-to-end credit risk model build where each team develops a working model on realistic data.

Training follows the full model lifecycle with hands-on building at every stage: four practice sessions alternate with instructor walkthroughs, so participants prepare credit datasets, develop PD scorecards, estimate LGD and EAD parameters, and run backtesting and stress tests themselves. Each exercise uses realistic data and methods the team would defend in validation, with the instructor reviewing model logic, challenging assumptions, and coaching the supervisory documentation standard. Peer review rounds sharpen every model before the next stage begins. The program culminates in a five-and-a-half-hour capstone where teams deliver a complete end-to-end credit risk model build.

Models built casually cost the bank twice: first in validation reviews they cannot pass, then in the real losses their blind spots miss. Data shortcuts, untested scorecards, and documentation written as an afterthought make every regulatory challenge harder than it needs to be. This program builds the discipline of the full lifecycle: clean data preparation, careful parameter estimation, honest backtesting, and documentation that anticipates the validator's questions before they are asked.

The capstone model build is the program's centerpiece: each team produces a working credit risk model covering data preparation, PD scorecard development, LGD and EAD estimation, validation and backtesting, and IFRS 9 ECL integration, with documentation written to supervisory standard. The instructor probes every component the way an independent validator would, so gaps surface while there is still time to fix them. What modelling and validation teams take home is a shared methodology: feature engineering checklists, scorecard templates, backtesting routines, and documentation habits that make the next model stronger and the next validation review calmer.

The program Upskills your modeling and validation teams across the full model lifecycle: data preparation, scorecard development, parameter estimation, backtesting, stress testing, and supervisory documentation. Collaboration between risk, finance, and validation improves as every team works the same methods and datasets. The result is modeling Capability your business can rely on: better Performance in validation reviews and Day-to-day Work grounded in methods that hold up under scrutiny.

What's Included in this Workshop for Your Enterprise Teams

In the program
  1. 1

    Credit Risk Foundations & the Regulatory Landscape

    Expected loss framework, IRB basics, and model governance

  2. 2

    Credit Data: Sourcing, Quality & Feature Engineering

    Sourcing, quality checks, features, and audit trails

  3. 3

    Probability of Default (PD) Models & Scorecards

    Logistic regression, scorecards, and discrimination metrics

  4. 4

    Loss Given Default (LGD) & Exposure at Default (EAD)

    Workout LGD, conversion factors, and expected loss

  5. 5

    Model Validation, Backtesting & Stress Testing

    Soundness checks, backtesting, challengers, and stress

  6. 6

    IFRS 9 Expected Credit Loss & Portfolio Integration

    Staging, lifetime ECL, provisioning, and reporting

  7. 7

    Capstone: End-to-End Credit Risk Model Build

    Build, validate, document, and defend a full model

Delivery and logistics
  • 28 hours of instructor-led training
  • Hybrid, onsite, or live virtual delivery
  • Real-world portfolio datasets for labs
  • Workbooks and model templates included
  • Trainer profile confirmed before booking
  • Post-training support for live portfolios

Build your team's skills. Anywhere in the world.

  • Real-world use cases

    from day one

  • Instructor-led training

    for your teams

  • Delivered globally

    in 100+ countries

An instructor leading a corporate training session with a team around a boardroom table

Enterprise Training Solutions Customized for Your Company

One partner for instructor-led corporate training, delivered the way your teams work.

Request a Training Quote
  • Customized Training Delivery
  • Scale Your Training: Small to Large Teams
  • In-person Onsite, Live Virtual or Hybrid Training Modes
  • Plan from 2000+ Industry-ready Training Programs
  • Hands-On Labs on Live Infrastructure, Led by Industry Experts

Credit Risk Modeling Course Topics and Program Outline

A tailored learning path of seven modules: from expected loss foundations to advanced validation and a capstone model build, with hands-on labs, real-world use cases, and an assessment in every session.

Built by Edstellar with credit risk modeling specialists

Built by practitioners who build, validate, and defend credit risk models in production, shaped around your stack and use cases.

7 modules28 hours4 practice sessions1 capstone
Assess

A short skills check maps your team's modeling, data, and validation maturity, then weights the labs to the portfolios you own.

Learn

Core sessions cover the expected loss framework, the IRB rulebook, and data preparation, with live demos on modeling-ready datasets.

Practice

Guided lab sessions have your team build PD scorecards, estimate LGD and EAD, and backtest models on real-world portfolio data.

Apply

A capstone has teams build, validate, document, and defend a full credit model before a review panel under stress scenarios.

Assess 4%
Learn 13%
Practice 65%
Apply 18%

Built for 28 hours of hands-on modeling: every formula is drilled in labs and proven in a full end-to-end capstone build.

Delivered as

28 hours instructor-led4 hands-on lab sessions1 capstone credit model reviewHybrid, onsite, or live virtual

The program runs hybrid by default: core sessions onsite with live virtual labs, or fully remote over Zoom or Teams. Every format covers the same 28 hours, labs, and capstone.

Customize this program tailored to your team?

Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.

Get a Tailored Outline

Key Skills and Outcomes Your Team Will Gain

Seven job-ready capabilities your team practices in labs and proves in the capstone credit model build.

  • PD scorecard development

    Build logistic regression scorecards using weight of evidence and information value, calibrated to PD bands.

  • LGD and EAD estimation

    Estimate loss given default and exposure at default with workout, collateral, and conversion factor methods.

  • Expected loss computation

    Combine PD, LGD, and EAD into point-in-time and through-the-cycle expected loss.

  • Model validation and backtesting

    Run conceptual soundness checks and outcomes analysis against realized default data.

  • IFRS 9 ECL staging

    Apply staging rules and lifetime expected credit loss with forward-looking scenarios.

  • Stress testing and scenario design

    Design adverse scenarios and translate them into capital and provisioning impact.

  • Model documentation for review

    Write validation-ready documentation that stands up to supervisory review.

Teams that Benefit from this Credit Risk Modeling Group Training

Credit risk, validation, finance, and stress testing teams that own the models behind lending and provisioning benefit most. Content adapts to role and experience, so each cohort practices the workflows it owns, from scorecard builds to supervisory documentation.

Explore by department

Build PD, LGD, and EAD models your reviewers trust

Model developers who build, recalibrate, and maintain credit risk models across retail and wholesale portfolios.

Workflow friction

  • Thin default data on low-default portfolios
  • Recalibration cycles that slip each quarter
  • Model drift caught too late in production

How the program helps

  • Hands-on scorecard builds with real portfolio data
  • Calibration techniques that survive validation
  • Challenger models benchmarked in labs

Practice use cases

  • PD scorecards
  • LGD estimation
  • EAD factors
  • Scorecard monitoring

Each department track works the same seven modules, with labs weighted to the workflows that team owns.

Prerequisites: Credit risk, validation, finance, and reporting professionals benefit most, as do managers who own provisioning or model risk. Basic familiarity with lending portfolios and spreadsheets helps but is not required: the program builds from the expected loss framework up. No prior modeling experience is needed. Sessions adapt to each cohort's portfolios, data, and regulatory context.

Credit Analyst to Model Risk Owner

The program moves your team from credit risk foundations to independent model building and defense, with every level practiced in hands-on labs.

EntryExitNot covered
Skill / TopicPrerequisite?
Credit data wrangling and feature engineering
No
PD scorecard development
No
LGD and EAD estimation
No
Model validation and backtesting
No
IFRS 9 expected credit loss computation
No
Stress testing and model documentation for supervisors
No

One program that grows with credit careers, from expected loss basics to building and defending a model that stands up to supervisory review.

Mixed cohort, or several teams at once?

We can tailor the training to different teams, roles, and experience levels within the same program.

Share Your Requirements

Certificate of Training Completion.

On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.

Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.

Edstellar Certificate of Completion

Training Delivery Modes: Virtual, Onsite and Hybrid

Choose the format that fits your teams: hybrid by default, fully onsite, or live virtual. Every mode covers the same 28 hours, labs, and capstone.

Hybrid Training

Core sessions with your instructor, labs run live virtual or onsite. Hybrid delivery keeps every team on one consistent curriculum across locations.

  • Instructor-led sessions across locations
  • Live virtual labs with real datasets
  • Consistent curriculum, every cohort
  • Flexible scheduling across time zones

Need a training format that works for your team?

Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.

Plan Your Training

Frequently Asked Questions

Question not answered here?

Put it in the request. A training specialist answers it directly, within one business day.

Talk to a Training Advisor

Why Choose Edstellar as Your Credit Risk Modeling Training Provider

Edstellar partners with banking teams to build credit modeling capability: real portfolio data, hands-on labs, and validation-ready methods your supervisors accept.

Global delivery map
5000+

EXPERT TRAINERS

5+

YEARS DELIVERING

1,000+

ORGANIZATIONS TRAINED

ISO 9001&27001

CERTIFIED

✏️

Tailored

Labs and datasets are weighted to your retail, SME, or wholesale portfolios, so every team practices the books it owns.

⚙️

Proven Methodology

The program follows a proven path: diagnose, standardize, practice, measure, then scale capability across your finance teams.

🧪

Practice-Based Learning

Lab sessions move from scorecard builds to backtesting, ending in a capstone where teams defend a full credit model.

👤

Expert Trainers

Instructors are credit risk practitioners who build, validate, and defend models in production, with profiles confirmed before booking.

🌐

Global Scale

Hybrid and live virtual delivery reaches your modeling, validation, and finance teams across regions with one consistent curriculum.

📊

Measurable Outcomes

Lab checks and a capstone review measure skill gains, so you can report model readiness to risk committees and supervisors.

Develop Credit Risk Models With Traceable Data and Critical Validation

Edstellar connects expected-loss foundations with portfolio preparation, PD scorecards, and LGD and EAD estimation. Participants compare models, inspect backtesting results, and integrate lifetime ECL calculations. The final model defense examines data quality, calibration, assumptions, and documentation, emphasizing reviewable evidence rather than treating a training model as approved for lending decisions.

  1. Step 01

    Consult

    We explore portfolio and modeling responsibilities to identify gaps in data preparation, scorecard development, loss estimation, validation, and expected-credit-loss integration.

  2. Step 02

    Plan

    We establish expected loss before data cleaning and features, then PD models, LGD and EAD, validation, and IFRS 9 integration within the model build.

  3. Step 03

    Align

    We align credit-modeling instruction with risk, finance, reporting, and validation roles, providing foundations and tools appropriate to the cohort's portfolio and spreadsheet experience.

  4. Step 04

    Customize

    We tailor synthetic portfolio extracts, bureau-style features, and stress scenarios to relevant lending cases while separating training analysis from actual borrower decisions.

  5. Step 05

    Execute

    Participants calibrate logistic scorecards, estimate losses, and compare challenger models, receiving feedback on data quality, assumptions, backtesting evidence, and lifetime-loss calculations.

  6. Step 06

    Evaluate

    We assess the full model for traceable inputs, justified features and parameters, documented validation findings, and clear explanations of uncertainty and use limitations.

Start an RFP shaped to your needs.

Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.

How many team members need training?

Credit Risk Modeling Corporate Training Training Packages & Pricing

Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.

Starter

120

trainee licenses

64 hours of group training

Tailored for SMBs

Most chosen

Growth

320

trainee licenses

160 hours of group training

Ideal for growing SMBs

Enterprise

800

trainee licenses

400 hours of group training

Designed for large corporations

Custom

Unlimited

trainee licenses

Duration set by the rollout

Multi-region and multi-year

Training Packages & Pricing

Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.

See the full package table

Request Credit Risk Modeling Training for Your Team

Tell us about your team size, portfolios, and modeling goals. We will scope the 28-hour program to your credit books and confirm your instructor.

We respond within one business day with a tailored quote and schedule options.

Group trainingscoped to your credit portfolios