Power & Utilities Manager - Finance - Risk
London
Power and Utilities Manager Financial Risk - London
The Team
The Infrastructure team consists of c400 professionals and is widely recognised as a leading independent business, financial and regulatory advisers in the infrastructure space.We provide in-depth advice on strategic, financial, regulatory and commercial issues driving investments in infrastructure across Transport, Power & Utilities, and Social Infrastructure in the UK and globally. Our work includes market and policy design, economic and regulatory analysis, deal structuring and execution, as well as strategic and transaction advice to enable private and public capital to fund infrastructure. We work closely with other functions within KPMG to advise clients on mergers and acquisitions, valuations, tax, accounting, and due diligence.
Power & Utilities (P&U) is one of the largest business areas of the Infratstructure team and encompasses work for large clients in the sector, including all energy and water companies in the UK as well as some of the largest utilities in Europe and beyond. We provide in-depth strategic and technical advice on corporate finance and corporate financial management, regulatory finance, regulatory policy, business and financial planning, cost assessment and bench marking as well as in other areas directly affecting value. Our work combines elements of policy, finance, strategy and economics to assist our clients in structuring investments, securing financing, supporting regulatory regimes and maximising shareholder value.
We are widely recognised by many industry stakeholders as market leaders influencing the future of the utilities sector.Our business is continuously expanding and we are looking for high quality candidates to support our Power & Utilities business with a particular focus on financial and economic analysis, including cost of capital estimation, financeability assessments, risk and scenario analysis, financial modelling, investment appraisal & valuation.
The Role
- Leading day-to-day project delivery activities, including conducting detailed quantitative analyses, preparing regulatory submissions, and clearly communicating complex analytical results to stakeholders.Contribute proactively to business development, bringing innovative analytical ideas, supporting the drafting of proposals, and participating effectively in client pitches. Leading business development efforts and generating long-term relationships with clients to understand challenges and shape commercial offerings to support them.
- Develop a robust understanding of regulatory finance and risk analysis within regulated infrastructure sectors, specifically focusing on the identification and quantification of key risk drivers. These include asset health deterioration, complexity of capital investment programmes, supply chain vulnerabilities, geographical factors, climate-related impacts, and macroeconomic dynamics such as inflation and interest rate fluctuations.
- Apply advanced statistical and econometric modelling to quantify how each identified risk factor interacts with specific regulatory mechanisms (e.g., cost allowances, incentives, depreciation profiles, and allowed cost of capital). Clearly articulate how these interactions translate into financial exposure and implications for regulated entities across current and future price control periods.
- Lead the implementation and continuous improvement of quantitative risk modelling platforms, including model development, parameter calibration, sensitivity testing, and validation, using programming languages and statistical software such as R (primary) and Python.
- Utilise statistical scenario analysis and stochastic simulation techniques to assess the overall risk profile of regulated entities, explicitly quantifying asymmetries in financial exposure and financeability under varying economic and policy-driven scenarios.
- Manage simultaneous delivery of multiple projects, ensuring high-quality analytical outputs that meet both regulatory requirements and client expectations.
- Maintain an expert-level understanding of evolving regulatory frameworks, policy developments, and economic trends affecting regulated utilities in the energy and water sectors.
- Staying informed of macro level risks developing and facing the regulated utilities sector more broadly over time is critical to capturing forward looking risk in our analysis. Creative thinking to incorporate forward looking risk utilising third party datasets is particularly critical where risk is changing over.
The Person
- Project management skillset and demonstrated experience of running or assisting in the day to day operation of projects. This includes making trade-offs between time, scope and quality, managing client and engagement leader expectations, excellent and proactive communication on both progress and outputs, providing guidance to junior team members and reviewing junior team members’ work before senior level reviews.
- Good technical expertise in applied statistics and econometric modelling, including proficiency in advanced techniques such as regression analysis, time series modelling, panel data estimation, and stochastic simulation.
- Strong soft skills in relationship management to cultivate and sustain deep client relationships and build the business.
- Strong, demonstrable skills in statistical programming, particularly in R (required) and Python (highly desirable), with practical experience in developing, testing, and validating analytical models for real-world economic and financial applications. Advanced understanding of Excel formulas and modelling is also required to translate outputs of R based models into client-ready and user-friendly interactive dashboards.
- Understanding of financial markets and financial risk including modelling real and nominal cash flows and differentiating between real interest rate risk and inflationary risk. An understanding of corporate financial risk management through hedging and the potential for basis risk would be an advantage.
- High degree of analytical thinking and proven ability to independently tackle complex problems, identify analytical challenges, and develop robust, evidence-based solutions.
- Strong ability to communicate sophisticated quantitative analysis clearly, persuasively, and succinctly to non-technical audiences, including regulators, corporate executives, and other key stakeholders.
- Flexible, proactive, and adaptable professional, capable of managing diverse analytical workloads under pressure, responding effectively to client demands, and delivering consistently high-quality outputs.
- Excellent written communication skills, capable of producing detailed, structured, and compelling technical reports and regulatory submissions.
- Undergraduate or postgraduate degree in Economics, Finance, Mathematics, Statistics, or a related quantitative field. Candidates from other disciplines will be considered if they have sufficient practical experience in advanced quantitative analysis. Advanced certifications like CFA, FRM, ACA are considered highly favourable.
To discuss this or wider Deal Advisory roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG.
Our Locations:
We are open to talk to talent across the country but our core hub for this role is London.
This position will be hybrid.
With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team.
Find out more:
Within Deal Advisory we have a range of divisions and specialisms. Click the links to find out more below:
Deal Advisory at KPMG: https://kpmg.com/uk/en/home/services/deal-advisory.html
ESG at KPMG: www.kpmgcareers.co.uk/our-esg-journey/
About our firm: www.kpmgcareers.co.uk/people-culture/about-our-firm/
KPMG Culture. Being Inclusive: www.kpmgcareers.co.uk/people-culture/being-inclusive/
KPMG Workability and Disability confidence: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/need-support-let-us-know/
For any additional support in applying, please click the links to find out more:
Applying to KPMG: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/
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KPMG Competencies: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/kpmg-competencies/
KPMG Locations and FAQ: www.kpmgcareers.co.uk/faq/?category=Experienced+professionals
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Economics Excel Finance Mathematics ML models Python R Statistics Testing
Perks/benefits: Flex hours
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