Associate Director – Finance, Risk
KPMG UK
full-time
Posted on:
Location Type: Office
Location: London • 🇬🇧 United Kingdom
Visit company websiteJob Level
Senior
Tech Stack
Python
About the role
- Leading day-to-day project delivery activities, including conducting detailed quantitative analyses, preparing regulatory submissions, drafting well written and clear report and clearly communicating complex analytical results to stakeholders
- Leading proactively business development, bringing innovative analytical ideas to the team, leading and supporting the drafting of proposals, and participating effectively in client pitches
- Cultivating and growing client relationships and identifying commercial opportunities to support the client
- Deploying a robust understanding of regulatory finance and risk analysis within regulated infrastructure sectors, specifically focusing on the identification and quantification of key risk drivers
- Applying advanced statistical and econometric modelling to quantify how each identified risk factor interacts with specific regulatory mechanisms
- Clearly articulating how these interactions translate into financial exposure and implications for regulated entities across current and future price control periods
- Leading the implementation and continuous improvement of quantitative risk modelling platforms
- Utilising statistical scenario analysis and stochastic simulation techniques to assess the overall risk profile of regulated entities
- Identifying opportunities for and deploying AI into the day-to-day functioning of the team
- Managing simultaneous delivery of multiple projects, ensuring high-quality analytical outputs that meet both regulatory requirements and client expectations
- Maintaining 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
- Supporting in managing the team and developing individual members within the team
Requirements
- Project management skillset and demonstrated experience of running the day-to-day operation of projects
- Excellent technical expertise in applied statistics and econometric modelling and data analytics, 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
- Experience using agentic AI in technical consulting
- Ideal candidate would have experience deploying AI in their day-to-day work including but not limited to researching technical topics, supporting the development of complex analyses in R or Python based coding and supporting in drafting deliverables
- Particular attention to validating AI results is critical
- 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 (minimum 2:1 or equivalent) 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.
Benefits
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
project managementapplied statisticseconometric modellingdata analyticsregression analysistime series modellingpanel data estimationstochastic simulationstatistical programmingExcel modelling
Soft skills
relationship managementanalytical thinkingcommunicationproblem-solvingflexibilityproactivityadaptabilitywritten communicationteam managementclient engagement
Certifications
CFAFRMACAundergraduate degree in Economicspostgraduate degree in Financedegree in Mathematicsdegree in Statistics