Postgraduate DiplomaBusiness, Management & Technology Policy Applications open

Diploma in Leasing/AFS Structures and Credit Risk

Online postgraduate diploma of 800 hours in leasing/AFS structures and credit risk. 8 modules covering mobility asset finance, leasing structures and IFRS 16 accounting, credit risk models, asset risk and collateral, prudential regulation and IFRS 9, credit cycle management and risk-adjusted pricing, with an assigned technical tutor.

Duration6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in Leasing/AFS Structures and Credit Risk — studying from Canada

Canada's technology and engineering sectors rely on strong business and management capabilities, with concentrations of innovation in Toronto, Montréal, Vancouver and Calgary. Federal and provincial governments support industrial strategy, research funding and regulatory policy affecting engineering firms. Professionals in this area often manage engineering programmes, lead technology commercialisation and advise on compliance and public procurement. Large employers include the major banks, consulting firms and national engineering companies.

Fees for Canada: C$2,790 (Canadian dollar), with instalments and employer sponsorship available.

Relevant bodies in Canada

  • Engineers Canada
  • Innovation, Science and Economic Development Canada
  • Project Management Institute (PMI) Toronto Chapter
  • Chartered Professional Accountants of Canada

Typical roles

  • Engineering Project Manager
  • Technology Policy Analyst
  • Innovation Manager
  • Operations Manager

Questions from Canada

Which Canadian bodies regulate qualifications in business or technology management?

Business and management qualifications in Canada are not generally licensed by a single regulator in the way engineering is. Professional designations such as CPA Canada for accounting or the Project Management Institute's credentials are separate bodies with their own requirements. SEIUM's qualifications are private, not official state degrees and not accredited by a national body, so recognition is decided by employers or the relevant body.

Do Canadian employers value technology policy and management training from a private school?

It depends on the employer and the role. Canadian organisations hiring for technology strategy, policy or management usually weigh experience, results and recognised credentials. A private qualification may support your CV, particularly alongside a final project showing applied work, but it is not guaranteed to be valued. Clarify expectations with target employers before enrolling.

How demanding is this alongside work, and how are fees handled?

The programmes are fully online and suit working professionals studying at their own pace. Specialist courses take 300 hours, postgraduate diplomas 800 and master's programmes 1,900, so consider your weekly capacity. Teaching is in English, with an assigned technical tutor. Fees are payable in instalments, and some employers sponsor staff, which you should ask your own employer about.

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Learning outcomes

What you will be able to do

01

Distinguish between the different forms of mobility asset finance.

02

Structure leasing transactions and their accounting treatment.

03

Build credit risk models.

04

Estimate asset risk and losses on default.

05

Apply the prudential framework and IFRS 9.

06

Manage the credit cycle of a portfolio.

07

Set risk-adjusted prices.

Profile

Who it's for

  • Credit risk analysts in automotive finance and banking.
  • Fleet finance managers.
  • Risk modellers.
  • Residual value managers.
  • Controllers at captive finance companies.
  • Financial pricing analysts.
  • Engineering or science graduates seeking to join an automotive finance company.
Standards & tools

What you'll work with

  • IFRS 16 (leases)
  • IFRS 9 (financial instruments)
  • Regulation (EU) 575/2013 CRR (capital requirements for credit institutions)
  • Directive (EU) 2023/2225 (consumer credit agreements)
  • Law 10/2014 (Spanish regulation and supervision of credit institutions)
  • Bank of Spain Circular 4/2017 (financial reporting for credit institutions)
  • EBA Guidelines on loan origination and monitoring (credit granting standards)
  • SAS Credit Scoring
  • Python with scikit-learn
  • R
  • Microsoft Excel
  • Power BI
Syllabus

8 modules

  1. 1.1Finance and operating leases
  2. 1.2Vehicle renting and subscription
  3. 1.3Manufacturers' captive finance companies
  4. 1.4Loans with retention of title
  5. 1.5Corporate fleet finance
  6. 1.6Leasing of heavy vehicles and equipment
  7. 1.7Electric vehicle finance
  8. 1.8Participants and business flows
  9. 1.9European market trends
  10. 1.10Case study: comparison of finance options for a fleet
  1. 2.1Finance lease agreement
  2. 2.2Purchase option and guaranteed residual value
  3. 2.3IFRS 16 for lessees
  4. 2.4Lessor accounting
  5. 2.5Tax treatment of leasing
  6. 2.6Sale and leaseback structures
  7. 2.7Syndicated and structured leasing
  8. 2.8Securitisation of leasing portfolios
  9. 2.9Key contract clauses
  10. 2.10Workshop: amortisation schedule for a lease
  1. 3.1Probability of default, LGD and EAD
  2. 3.2Application scoring for individuals
  3. 3.3Rating of companies and self-employed borrowers
  4. 3.4Explanatory variables in vehicle finance
  5. 3.5Logistic regression and decision trees
  6. 3.6Model validation and discriminatory power
  7. 3.7Probability calibration
  8. 3.8Bias and fairness in models
  9. 3.9Model governance
  10. 3.10Lab: scoring model with logistic regression
  1. 4.1The vehicle as collateral
  2. 4.2Depreciation and value curves
  3. 4.3Asset recovery on default
  4. 4.4The remarketing market
  5. 4.5Recovery and sale costs
  6. 4.6Loss given default with collateral
  7. 4.7Total loss and GAP insurance
  8. 4.8Technology risk in electric vehicles
  9. 4.9Used-vehicle market data
  10. 4.10Practical exercise: LGD estimation for a portfolio
  1. 5.1Basel III framework and the CRR
  2. 5.2Capital requirements for credit risk
  3. 5.3IRB internal models
  4. 5.4IFRS 9 and expected credit losses
  5. 5.5Impairment stage classification
  6. 5.6Consumer Credit Directive
  7. 5.7Supervision by the Bank of Spain
  8. 5.8Customer transparency requirements
  9. 5.9Anti-money laundering
  10. 5.10Case study: IFRS 9 provision calculation
  1. 6.1Credit approval policies
  2. 6.2Delegation of authority
  3. 6.3Portfolio monitoring
  4. 6.4Early warning systems
  5. 6.5Collections management for arrears
  6. 6.6Refinancing and restructuring
  7. 6.7Write-off management
  8. 6.8Portfolio quality indicators
  9. 6.9Stress testing
  10. 6.10Workshop: dashboard for a leasing portfolio
  1. 7.1Risk-adjusted pricing
  2. 7.2Funding cost and margin
  3. 7.3Cost of capital and RAROC
  4. 7.4Manufacturer subsidies
  5. 7.5Insurance and associated services
  6. 7.6Profitability by channel
  7. 7.7Cohort analysis
  8. 7.8Competition and commercial strategy
  9. 7.9Process digitalisation
  10. 7.10Practical exercise: pricing model for a renting product
  1. 8.1Definition of the financial product
  2. 8.2Target market analysis
  3. 8.3Scoring model
  4. 8.4Residual value and LGD estimation
  5. 8.5Calculation of provisions and capital
  6. 8.6Pricing model
  7. 8.7Risk management plan
  8. 8.8Conclusions and areas for improvement
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The software used is SAS Credit Scoring, Python with scikit-learn, R, Microsoft Excel and Power BI, in free, academic or evaluation versions. Exercises are based on real procedures: a scoring model for a leasing portfolio, IFRS 9 provision calculation and residual value analysis of fleets. Assessment is continuous by module plus the final project.

Standards covered: IFRS 16, IFRS 9, Regulation (EU) 575/2013 CRR, Directive (EU) 2023/2225 on consumer credit, Law 10/2014 on credit institutions, Bank of Spain Circular 4/2017, EBA Guidelines on loan origination and monitoring.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of IFRS 16, IFRS 9 and the CRR applied to real cases, not as a theoretical annex.
Industry software:SAS Credit Scoring, Python with scikit-learn, R, Microsoft Excel and Power BI, in free, academic or evaluation versions.
Final project:the design of a complete vehicle finance product and portfolio, from scoring to pricing and provisions, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Product and market definition
Define a vehicle finance product and analyse its target market.
Scoring model
Build and validate a credit scoring model for the target customers.
Residual value and LGD
Estimate residual values and loss given default for the financed assets.
Provisions, capital and pricing
Calculate IFRS 9 provisions and capital requirements and set risk-adjusted prices.
Final project
A risk management plan for the portfolio with conclusions and areas for improvement, reviewed by your tutor.
Career opportunities

Where this takes you

Credit Risk AnalystFleet Finance ManagerRisk ModellerResidual Value ManagerCaptive Finance ControllerFinancial Pricing Analyst
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • Internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with SAS Credit Scoring, Python with scikit-learn, R, Microsoft Excel and Power BI, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

Prior technical training or professional experience in the sector; no university degree is required.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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