Postgraduate Diploma in Portfolio Optimisation and Compliance
Online 800-hour Postgraduate Diploma in Portfolio Optimisation and Compliance. 8 modules covering Regulation (EU) No 1227/2011 (REMIT), Regulation (EU) 2024/1106 (REMIT revision) and Python (pandas, PyPortfolioOpt). Dedicated tutor and enrolment open.
Postgraduate Diploma in Portfolio Optimisation and Compliance — studying from South Africa
Energy is a defining sector in South Africa, with Eskom operating the bulk of the national generation and transmission network and independent power producers increasingly contributing renewable capacity. Grid modernisation, renewable integration and distribution management create steady demand for engineers. The National Energy Regulator of South Africa oversees electricity regulation, while municipalities manage local distribution. Energy engineers typically work on generation, transmission, protection and system planning.
Fees for South Africa: R 20 400 (South African rand), with instalments and employer sponsorship available.
Relevant bodies in South Africa
Typical roles
Questions from South Africa
Which South African bodies regulate energy and networks engineers, and would SEIUM count?
Energy engineers in South Africa are registered through ECSA, and the electricity sector is regulated by NERSA. Utilities and networks often require registered professionals for certain work. SEIUM is a private online institute, and its qualifications are not official state degrees or accredited by a national body. Recognition is for employers and the relevant body to decide, so verify this before enrolling.
Will this qualification help me find work with energy or network employers in South Africa?
South Africa's energy sector includes Eskom, municipalities, independent power producers and grid-related firms, which typically hire registered and experienced engineers. A private online qualification may support your application but does not guarantee a role. Check with target employers how they view it, and combine it with practical experience where possible.
How do I manage the workload, and can I get help with fees?
The programme is fully online and taught in English, so you need good English, and no student visa is needed to study from home. Master's programmes are 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours, with an assigned technical tutor and a final project. Fees are payable in instalments, and employer sponsorship may be possible, so ask your employer whether they would support the cost.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Analyse the structure of a portfolio of energy assets and contracts.
Calculate market risk metrics such as VaR and CFaR.
Optimise portfolios subject to physical and financial constraints.
Value flexible assets using real options models.
Interpret the obligations of REMIT, MiFID II and EMIR.
Design a compliance programme for a trading entity.
Define data governance and the requirements of an ETRM system.
Who it's for
- Energy portfolio manager looking to specialise in Portfolio Optimisation and Compliance.
- Market risk analyst looking to specialise in Portfolio Optimisation and Compliance.
- Energy compliance officer looking to specialise in Portfolio Optimisation and Compliance.
- ETRM analyst looking to specialise in Portfolio Optimisation and Compliance.
- Energy trader looking to specialise in Portfolio Optimisation and Compliance.
- Energy asset valuation specialist looking to specialise in Portfolio Optimisation and Compliance.
- Engineering or science graduates seeking to enter energy marketing and trading.
What you'll work with
- Regulation (EU) No 1227/2011 (REMIT)
- Regulation (EU) 2024/1106 (REMIT revision)
- Directive 2014/65/EU (MiFID II)
- Regulation (EU) No 648/2012 (EMIR)
- Regulation (EU) No 596/2014 (market abuse)
- Implementing Regulation (EU) No 1348/2014 (REMIT data reporting)
- ISO 37301 (compliance management systems)
8 modules · 800 h
1.1Physical and financial positions of a utility1.2Generation, demand and contract assets1.3Forward curves and construction of the hourly curve1.4Exposure to price, volume and profile1.5Mark-to-market and mark-to-model valuation1.6P&L attribution1.7Book structure and transfer pricing1.8Front, middle and back office functions1.9Risk policies and risk appetite1.10Workshop: open position of an electricity retailer
2.1Parametric, historical and Monte Carlo VaR2.2CVaR or expected shortfall2.3Profit-at-Risk and Cash-flow-at-Risk2.4Volatilities and correlations between commodities2.5Backtesting of risk models2.6Stress testing and extreme scenarios2.7Counterparty credit risk and PFE2.8Liquidity risk from margin calls2.9Limit system and escalation2.10Practical: VaR and CVaR of an electricity and gas portfolio
3.1Markowitz mean-variance model3.2Optimisation with Rockafellar-Uryasev CVaR3.3Two-stage stochastic programming3.4Scenario generation and reduction3.5Optimal mix of contracts and maturities3.6Operational and liquidity constraints3.7Risk-return efficient frontier3.8Robust optimisation under uncertainty3.9Dynamic reoptimisation and rebalancing3.10Laboratory: CVaR portfolio optimisation in Python
4.1Assets as real options4.2Combined-cycle plants as spark spread options4.3Storage as a portfolio of options4.4Swing contracts and take-or-pay clauses4.5Mean-reverting price models4.6Jumps and price spikes in electricity4.7Hourly simulation of correlated prices4.8Intrinsic versus extrinsic value4.9Dynamic hedging of flexible assets4.10Case study: valuation of a combined-cycle plant with spread options
5.1REMIT (EU) No 1227/2011 and its 2024 revision5.2Definition of inside information5.3Types of market manipulation5.4Participant registration and reporting to ACER5.5MiFID II and the ancillary activity exemption5.6EMIR: clearing and derivatives reporting5.7Market Abuse Regulation (MAR)5.8CNMC supervision of energy markets5.9Sanctions regime and precedents5.10Practical: analysis of a sanctioned case of manipulation
6.1Design of the regulatory compliance programme6.2Trade surveillance6.3Detection of spoofing, layering and wash trades6.4Disclosure of inside information6.5Insider lists6.6Recording and archiving of communications6.7Suspicious transaction and order reporting (STOR)6.8Training and compliance culture6.9Internal audit and continuous improvement6.10Workshop: designing order surveillance alerts
7.1Architecture of ETRM and CTRM systems7.2Trade capture and confirmation7.3Market data and curve management7.4Integration with markets and operators7.5Reconciliations and end-of-day controls7.6Independent model validation7.7Automated regulatory reporting7.8Risk and compliance dashboards7.9Internal controls and segregation of duties7.10Case study: lifecycle of an OTC transaction
8.1Diagnosis of the starting portfolio8.2Definition of risk appetite8.3Valuation model and metrics8.4Optimisation of the hedging strategy8.5Regulatory risk map8.6Design of the compliance programme8.7Dashboard and implementation plan8.8Sensitivity analysis and conclusions8.9Report and presentation8.10Final review with the tutor
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. There are no fixed timetables: students progress at their own pace within the intake, making it easy to combine with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (pandas, PyPortfolioOpt), MATLAB Financial Toolbox, Openlink Endur, advanced Excel, Power BI, in free, academic or evaluation versions. The case studies work through real procedures for calculating VaR and CFaR for energy portfolios, valuing flexible assets through real options, and REMIT compliance audits. Assessment is continuous by module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Analyse the structure of a portfolio of energy assets and contracts.
Calculate market risk metrics such as VaR and CFaR.
Optimise portfolios subject to physical and financial constraints.
Value flexible assets using real options models.
Interpret the obligations of REMIT, MiFID II and EMIR.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow technical regulatory texts.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme comprises 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
You work with Python (pandas, PyPortfolioOpt), MATLAB Financial Toolbox, Openlink Endur, advanced Excel and Power BI. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
SEIUM's own diploma upon passing the continuous assessment and the final integrative project. It is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the higher programme. Check the recognition policy when enrolling.
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