Course in Risk Management in Energy Markets
Online 300-hour course in risk management in energy markets. 6 modules covering Regulation (EU) No 1227/2011 (REMIT), Regulation (EU) No 648/2012 (EMIR) and Python (NumPy, pandas). Assigned tutor and open enrolment.
Course in Risk Management in Energy Markets — studying from the United Kingdom
Energy engineering in the United Kingdom spans offshore wind, nuclear, gas, grid infrastructure and energy storage, with regional hubs in Aberdeen, Teesside, Humberside and the South West. The transition to net zero drives investment in transmission and distribution networks, renewable generation and digital grid management. Operators such as National Grid, SSE and Scottish Power employ engineers in planning, operations and asset management. The energy regulator Ofgem and the National Energy System Operator shape market rules and system planning.
Fees for the United Kingdom: £619 (Pound sterling), with instalments and employer sponsorship available.
Relevant bodies in the United Kingdom
Typical roles
Questions from the United Kingdom
Which UK bodies are relevant to energy and networks engineering qualifications?
In the UK, the Institution of Engineering and Technology (IET) and the Energy Institute are the main professional bodies for energy and networks, and the Engineering Council handles chartered registration. Regulation of the sector is by Ofgem and the National Energy System Operator. SEIUM's qualifications are private and not accredited by these bodies, so recognition is for the relevant body and employers to decide.
Do UK energy and network operators value private online qualifications?
UK energy utilities, network operators and grid contractors typically hire on the basis of competence, safety training, professional registration and project experience. A private qualification may support your profile, but its relevance is decided by each employer. Demonstrated practical work and progress towards professional registration usually matter most.
How does online study fit a UK working life, and what about funding?
Programmes are fully online, so you can study around your UK job and no student visa is needed to study from home. Teaching is in English, and an assigned technical tutor supports your progress. Fees are payable in instalments, and some employers sponsor job-related training, which varies by employer. Check the programme hours and funding options before enrolling.
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
Identify market, credit, liquidity and operational risks in energy.
Measure market risk using VaR, PaR and Monte Carlo simulation.
Design hedging strategies using energy derivatives.
Manage counterparty and liquidity risk.
Apply European regulation of financial and energy markets.
Organise the risk function and its support systems.
Develop a risk management policy for an energy portfolio.
Who it's for
- Energy risk analyst looking to specialise in Risk Management in Energy Markets.
- Trading risk manager looking to specialise in Risk Management in Energy Markets.
- Electricity and gas trader looking to specialise in Risk Management in Energy Markets.
- Middle office analyst looking to specialise in Risk Management in Energy Markets.
- Hedging manager looking to specialise in Risk Management in Energy Markets.
- Energy markets consultant looking to specialise in Risk Management in Energy Markets.
- Engineering or science graduates seeking to enter energy trading and marketing.
What you'll work with
- Reglamento (UE) n.º 1227/2011 (REMIT)
- Reglamento (UE) n.º 648/2012 (EMIR)
- Directiva 2014/65/UE (MiFID II)
- Reglamento (UE) n.º 596/2014 sobre abuso de mercado
- NIIF 9 (IFRS 9)
- ISO 31000
- Contrato marco EFET
6 modules · 300 h
1.1Typology: market, credit, liquidity and operational1.2Price volatility of electricity and gas1.3Correlation between energy commodities1.4Volume and profile risk1.5Geographic and time basis risk1.62021–2022 energy crisis and lessons learned1.7Regulatory risk and market interventions1.8Risk governance and control function1.9Risk appetite and limits1.10Workshop: risk map of a retail energy supplier
2.1Open position and net exposure2.2Parametric and historical value at risk2.3Monte Carlo simulation of prices2.4Profit at Risk and Cash Flow at Risk2.5Expected Shortfall2.6Mean-reverting price models2.7Price jumps and spikes2.8Stress testing and scenarios2.9Backtesting of risk models2.10Laboratory: calculating the VaR of an electricity portfolio in Python
3.1Electricity futures and forwards3.2Price swaps and contracts for difference3.3Options and spark and dark spreads3.4Capacity contracts and guarantees of origin3.5Cross-hedging with gas and CO₂3.6Hedging renewables with variable profiles3.7Hedge effectiveness and accounting3.8Organised markets versus OTC3.9Cost of hedging and risk premium3.10Practice: hedging strategy for a wind generator
4.1Credit exposure to counterparties4.2Guarantees, collateral and margins4.3Central clearing house4.4EFET and ISDA framework agreements4.5Liquidity risk from margin calls4.6Internal counterparty rating4.7Default risk of end customers4.8Counterparty concentration4.9Treasury management in stress scenarios4.10Case study: impact of margin calls in 2022
5.1REMIT Regulation and market abuse5.2EMIR and reporting obligations5.3MiFID II and the ancillary activity exemption5.4Front, middle and back office separation5.5ETRM and CTRM systems5.6Risk reporting to management5.7Operational risk and controls5.8Risk culture in energy trading5.9Audit of the risk function5.10Case study: risk policy of a retail energy supplier
6.1Description of the energy portfolio6.2Identification of exposures6.3Price modelling6.4Calculation of risk metrics6.5Design of the hedging strategy6.6Limits policy and governance6.7Risk report for management6.8Implementation plan6.9Report and presentation6.10Final review with the tutor
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: students progress at their own pace within the intake, which makes it possible to combine the course with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (NumPy, pandas), MATLAB Financial Toolbox, Allegro ETRM, Endur (ION), Microsoft Excel with @RISK, in free, academic or evaluation versions. Assignments are based on real procedures: calculating the VaR of an electricity portfolio, designing a hedging strategy for a renewable generator, and liquidity stress testing for margin calls. Assessment is continuous per module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Identify market, credit, liquidity and operational risks in energy.
Measure market risk using VaR, PaR and Monte Carlo simulation.
Design hedging strategies using energy derivatives.
Manage counterparty and liquidity risk.
Apply European regulation of financial and energy markets.
Where this takes you
Requirements
- No prior degree is 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 totals 300 hours, spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You work with Python (NumPy, pandas), MATLAB Financial Toolbox, Allegro ETRM, Endur (ION), Microsoft Excel with @RISK. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An own SEIUM diploma upon passing the continuous assessment and the integrating project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Check the credit transfer policy when you enrol.
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