CarEers
WHY VALLORII EXISTS
Infrastructure is the backbone of societies, markets, and the energy transition.
How infrastructure is valued is central to its affordability and sustainability. Get the valuation wrong, and capital is misallocated, bills rise, and the energy transition stalls. Vallorii is fixing this from first principles.
Every energy, transport, and water system needs funding to continue operating and improve the services it provides. The right funding, from the right investors, at the right price generates fair returns to funders while keeping services affordable for the communities that depend on them. Without the right funding, capital misallocation has consequences that ripple for decades.
Legacy infrastructure valuation and regulation rely on fragile Excel spreadsheets, siloed data, and single-case sensitivities - an approach unfit for assets with >30-year lifespans and multi-billion-pound stakes. The models used by investors, regulators, and operators today are not fit for a world defined by energy transition, climate risk, and the need for unprecedented capital mobilisation.
Vallorii is fixing this. An Oxford-based venture applying advanced modelling, contemporary economic and financial theory, and AI to price the full spectrum of risks that drive infrastructure value - with full transparency, full traceability, and outputs ready for investment committees and regulatory filings.
The mission: create the global platform for infrastructure valuation and risk pricing, to channel global capital toward sustainable, inclusive infrastructure.
THE COMPANY
What Vallorii has built.
Vallorii's cloud platform connects live market, regulatory, and risk data with the latest econometric and AI modelling techniques. We build stochastic cash-flow models with clear, transparent pathways; simulate thousands of risk-weighted scenarios; and explain every output with full source lineage. No black box. No single-point estimates. Statistically sound downside and upside ranges, ready for the real world.
Research-led DNA. The team are infrastructure specialists combining an Oxford, Cambridge and LSE academic heritage with econometric arsenals including multi-factor asset-pricing and Bayesian filtering, leveraging modern AI tools.
Genuinely independent. No stake in assets. No advisory conflicts. Pure data-driven analytics. The kind of independence that gives investors, regulators, and operators a number they can trust.
One year in. Early deployments live. Growing client base. Clear thesis. Now scaling - and building the team to do it.
THE PLATFORM
Three products. One intergrated platform.
Within the Vallorii platform, three products provide a novel perspective on infrastructure accounting, cost of capital, and valuations. Each is modular, AI-enabled, and built for the rigour of investment committees, regulatory filings, and public market monitoring.
1 Asset Intelligence
Bottom-up accounting for physical assets - granular data, correct accounting value, asset health and social demand.
2 VAPRI
The Vallorii Price of Risk: risk-adjusted hurdle rates from asset risks → IRR uncertainty → cost of equity. True pricing of capital.
3 Cost of Capital Lab
Real-time analytics for public utility stocks, bonds and funds. The go-to platform for regulatory and market-based CoC.
Asset Intelligence estimates accounting values for infrastructure assets based on service quality, cost, and demand - using AI data collection, Bayesian inference, and stochastic forecasting. VAPRI translates asset risks through IRR uncertainty to portfolio-level cost of equity, delivering risk-adjusted hurdle rates that are comparable and auditable. Cost of Capital Lab provides real-time analytics on publicly traded utility stocks, bonds, and funds - the go-to source of truth for price control decisions and baseline cost of equity.
Vallorii's network already spans government and regulators, investors, and utilities, shaping the future of infrastructure investing, management, and regulation.
WHY JOIN NOW
The case for joining.
→ The problem is consequential.
Infrastructure investment underpins the economies, communities, and net-zero ambitions of every major country. The capital allocation decisions made in the next decade will determine which assets get built, how risks are priced, and who ultimately bears the cost. Vallorii is working at the centre of that challenge - bringing rigorous quantitative analysis to infrastructure valuation.
→ The analytical platform is real.
Vallorii has developed working products with live deployments across regulators, utilities, and institutional investors. Asset Intelligence, VAPRI, and Cost of Capital Lab provide a new analytical framework for understanding infrastructure value and risk. The foundations are in place; this role contributes to extending and applying those models across new datasets, questions, and use cases.
→ The environment is intellectually distinctive.
The team combines economists, infrastructure finance specialists, and quantitative researchers from Oxford, Cambridge, LSE, and McKinsey. It is a research-led environment that values intellectual depth, analytical rigour, and curiosity - unusual for a company at this stage.
→ The work is genuinely applied.
The models developed at Vallorii do not sit in academic papers or internal tools. They inform real decisions made by regulators, investors, and utilities about billions of pounds of infrastructure investment. This role provides early exposure to those questions and the opportunity to contribute to how they are analysed.
→ The opportunity grows with the company.
As Vallorii expands, strong performers will have opportunities to deepen their involvement in modelling, research, product development, and client-facing analytical work.
Our current openings
Oxford / Hybrid, UK
LOCATION
Full time
TYPE
Up to £150,000
BASE SALARY
Equity
SUBSTANTIAL
Engagement Manager/ Principal
Product ownership, Consultant depth
THE ROLE
A client-facing deployment leader
The Engagement Manager/Principal leads the deployment team, working closely with the co-founders and owning end-to-end client deployment of Vallorii’s platform - from initial scoping through to live delivery. This is not a standard advisory role. You will deploy a live, technical product backed by an outstanding team of quantitative researchers, bringing the client-focus of top-tier consulting plus the depth of a product specialist and the technical fluency to communicate complex modelling outputs.
Infrastructure is mispriced — and the consequences ripple for decades. Vallorii is an Oxford-based venture applying advanced modelling and AI to price the full spectrum of infrastructure risk - with outputs ready for investment committees and regulatory filings. Three modular products (Asset Intelligence, VAPRI, Cost of Capital Lab), built for regulators, investors, and utilities. Research-led. Genuinely independent. One year in, early deployments live, now scaling.
Key ResPONSIBILITIES
Key Responsibilities
What you will own
→ Team leadership. Lead and develop the deployment team, setting standards, building capability, and ensuring the function scales with rigour.
→ End-to-end deployment. Own the full deployment lifecycle for assigned clients - scoping, configuration, delivery, sign-off - on time and to the highest standard.
→ Client relationships. Primary point of contact for C-suite executives, Investment Committees, and senior leaders across utilities, institutional investors, and government bodies throughout deployment.
→ Technical delivery. Apply Vallorii’s platform to deliver analytical outputs - simulations, risk models, scenario analyses - that are defensible, well-presented, and decision-ready. Bridge the gap between model capability and client need.
→ Feed learnings back. Work closely with the co-founders to translate what is observed on the ground into product improvements and deployment playbook refinements.
THE PERSON
What will set candidates apart.
Strong candidates will be at engagement manager level or above; you will have led complex senior client deployments, not just supported them, and built and developed a team. You will have held the room with a CEO, Chair, or Investment Committee, structured a workplan under pressure, and turned a demanding client into a reference. Critically, you will engage with and communicate technical outputs - risk models, simulations, scenario analyses - with confidence and precision. A candidate who has only managed projects without analytical grounding will not be the right fit.
The ideal profile
Client-centric and technically grounded. Senior relationships at major institutions. Knows the difference between a successful delivery and a successful deployment, and understands the analytical substance behind both.
A natural team leader. Builds high-performing teams, sets a clear standard for how work is done, and leads from the front on client work.
Technically fluent. Engages meaningfully with quantitative outputs - risk models, Monte Carlo simulations, scenario analyses - and can interrogate, explain, and defend them confidently.
Mission-driven. Motivated by the infrastructure investment problem and the opportunity to build the deployment function from the ground up.
TECHNICAL PROFILE
Skills & experience.
Required
→ Typically 5+ years of client-facing experience in management consulting, advisory, or a comparable professional services or deployment role, including at engagement manager level or equivalent.
→ Proven experience leading and managing a team: setting direction, developing people, and maintaining high standards across concurrent workstreams.
→ Track record of leading complex, senior-stakeholder engagements to successful delivery, ideally in infrastructure, finance, regulation, or energy.
→ Excellent structured communication: write clearly, present confidently, adapt register from working-level to Board or regulatory audience.
→ Strong project management capability: work planning, scope management, issue escalation, delivery tracking in fast-moving environments.
→ Technical literacy: able to engage with quantitative modelling outputs - simulations, risk pricing, scenario analysis - and communicate them with clarity to senior decision-makers. Expert at leading technical experts to deliver value to clients.
Strongly valued
→ Background in infrastructure economics, energy regulation, or infrastructure finance.
→ Experience deploying analytical, data, or technology products with major institutional clients.
→ Experience in a high-growth venture or scale-up alongside or following a consulting career.
COMPENSATION
Structured for the long term.
Compensation is structured as two components, each designed to reflect a different dimension of the opportunity: what you deliver now, and your stake in where Vallorii is going.
EQUITY
Substantial
This is a crucial hire. Equity is structured to reflect that: a genuine share in the company. Equity details shared with shortlisted candidates.
BASE SALARY
Up to £150,000
Depending on skills and experience.
Oxford-based company, hybrid working within the UK. Full-time.
To apply, send your CV to anita.bharucha@vallorii.com · vallorii.com
Vallorii is committed to building a diverse and inclusive team. We welcome applications from all backgrounds.
Oxford / Hybrid, UK
LOCATION
Full time
TYPE
Analyst £50-70k
Associate £65-80k
BASE SALARY
Equity
SUBSTANTIAL
Quantitative Analyst / Associate
Analyst
THE ROLE
A key role at the core of Vallorii’s analytical platform.
We are seeking a Quantitative Analyst / Associate to strengthen Vallorii’s core analytical capability. This role sits within an expanding team and contributes directly to work across Vallorii’s business.
This is a high‑ownership role offering substantial scope to shape how Vallorii builds and deploys quantitative analysis as the company grows.
It offers the opportunity to build relationships with senior decision-makers, investors, regulators, and subject-matter experts working on major infrastructure challenges in the UK and internationally.
Vallorii’s analytical platform is built around rigorous quantitative models that translate infrastructure risks into transparent valuation outputs. In this role, you’ll contribute directly to the development and application of those models, helping ensure that Vallorii’s analysis is robust, transparent, and decision-relevant for investors, regulators, and operators.
The role spans:
Development: extending and refining Vallorii’s core quantitative models and analytical methods;
Exploration: applying those methods to new questions, datasets, and use cases, often through research or early‑stage project work
Deployment: adapting and applying models in live product features or client‑facing analytical projects.
You will work at the intersection of quantitative modelling, product development, and delivery, and balance between these will evolve as Vallorii scales. You’ll excel at working with uncertainty, system‑level costs, and applied mathematics, not just applying standard financial templates.
Key ResPONSIBILITIES
What you will own.
1 Quantitative Modelling & Analysis
→ Design, build, and maintain quantitative models to support infrastructure valuation, system cost analysis and scenario assessment.
→ Develop and run robust uncertainty analyses, including Monte Carlo simulations with clearly specified assumptions, distributions, and sensitivities.
→ Work beyond standard DCF approaches to analyse whole-system costs, risks, and value over time (e.g. TOTEX-based frameworks).
→ Stress-test models and results, ensuring analytical robustness, transparency, and internal consistency.
2 Python-Based Analytical Delivery
→ Implement models and analyses primarily in Python, including the development of well-structured, well-documented notebooks for internal use and delivery.
→ Translate quantitative methods into reusable analytical components that can be adapted across projects and products.
→ Support integration of quantitative analysis into Vallorii’s wider platform and tooling, working closely with product and engineering colleagues.
3 Custom Analysis & Delivery Support
→ Adapt core models and methods to client-specific questions, datasets, and scenarios.
→ Contribute to analytical outputs for advisory and research assignments, including charts, tables, and written explanations.
→ Help to ensure that complex quantitative results are interpretable and decision-relevant for non-technical audiences.
4 Collaboration & Development
→ Work collaboratively to contribute to a supportive, high-standards team environment.
→ Work closely with colleagues across the business to refine assumptions, methodologies, and use cases.
→ Contribute to shared analytical standards, documentation, and internal best practice.
→ Mentor, coach and support colleagues across business areas.
THE PERSON
What will set candidates apart.
Strong candidates will have built analytical models, not just implemented them. They will understand how assumptions drive outcomes and be comfortable structuring complex quantitative analysis from first principles.
They will be comfortable working in environments where the questions are not fully defined and where models must be iteratively developed, tested, and refined as new information emerges.
The strongest candidates will also demonstrate a genuine understanding of the domain. Vallorii’s team combines economists and infrastructure finance professionals from Oxford, Cambridge, LSE, and McKinsey, and experience in quantitative finance, infrastructure economics, energy systems, or regulatory economics is a strong differentiator.
Candidates who can engage meaningfully with stochastic risk modelling, cost-of-capital frameworks, and infrastructure valuation will be able to contribute more quickly and create far greater analytical value.
The ideal profile
Quantitatively rigorous and self-directed. Comfortable building and interrogating models that combine financial, economic, and engineering assumptions.
Domain curious. Interested in how infrastructure systems are financed, regulated, and optimised over long time horizons.
Applied thinker. Able to translate analytical methods into practical insights that inform real-world investment and policy decisions.
Mission-driven. Motivated by the scale of the infrastructure investment challenge and the opportunity to shape how it is analysed and funded.
TECHNICAL PROFILE
Skills and experience.
Required
→ Strong quantitative training (e.g. mathematics, engineering, physics, economics, computer science, or a closely related field), typically at Master’s level or equivalent professional experience.
→ Familiarity with infrastructure finance or demonstrated interest in this area.
→ Experience designing and running uncertainty analyses, including Monte Carlo simulation or comparable stochastic methods.
→ Ability to write and maintain code in Python for quantitative analysis, including writing clear, reproducible notebooks or scripts.
→ Ability to structure complex analytical problems, make assumptions explicit, and reason carefully about limitations and uncertainty.
→ Clear written and verbal skills, with the ability to explain quantitative results to mixed technical and non-technical audiences.
Strongly valued
→ Experience working with infrastructure, energy systems, regulated assets, or long‑lived capital projects.
→ Familiarity with cost frameworks beyond simple cash‑flow models (e.g. TOTEX, system cost optimisation, lifecycle costing).
→ Experience translating research‑grade analysis into applied or decision‑facing outputs.
→ Experience with early‑stage product environments.
We recognise that strong candidates may come from a range of academic and professional backgrounds. If you meet most (but not all) of the criteria above, we still encourage you to apply.
COMPENSATION
structured for the long term.
Compensation is structured as two distinct components, each designed to reflect a different dimension of the opportunity: what you deliver now, and your stake in where Vallorii is going.
EQUITY
Genuine Participation
BASE SALARY
Analyst from £50-£70k
Associate from £65-£80k
Commensurate with skills and experience.
Oxford-based company, hybrid working within the UK. Full-time.
To apply, send your CV to anita.bharucha@vallorii.com · vallorii.com
Vallorii is committed to building a diverse and inclusive team. We welcome applications from all backgrounds.