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Explore our current exciting career opportunities at Vallorii below

For questions, please contact us at vallorii@vallorii.com

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Technical Lead, Platform & Productisation

About Vallorii

Vallorii is a UK-based, purpose-driven infrastructure technology firm, building data‑driven products based on a fundamentally new approach to the valuation of infrastructure. (e.g., power & gas networks, water and wastewater, rail, airports, digital infrastructure).

One year in, we are in a new stage of growth, with a focus on scaling our products, deepening real‑world deployment, and building the team and capabilities we need to support this expansion.

Join us and help transform how billions are invested in sustainable infrastructure, build the community of senior thought leaders and create our culture as we scale. You’ll join a growing team that embraces flexible, collaborative ways of working, operate with high responsibility and autonomy, and apply quantitative analysis to real-world infrastructure and sustainability challenges.

The Role

We are seeking a Technical Lead to play a foundational role in building and scaling Vallorii’s AI-enabled infrastructure valuation platform. We operate with leadership and autonomy from the outset, and offer a clear development path as Vallorii scales.

Reporting directly to co-founder Jorge Cardenas, you will shape the architecture, engineering standards, and technical direction of our product as we move from early deployments to a robust, scalable platform.

This is a high-ownership role offering substantial scope to define how we build, from backend systems and data infrastructure to integration of quantitative modelling engines and web-based tools.

You will work at the intersection of engineering, quantitative modelling, and product development. As Vallorii scales, you will help establish practices and take on increasing leadership responsibility for the growing product team.

The role offers exposure to senior decision-makers, investors, regulators, and subject-matter experts working on major infrastructure challenges in the UK and internationally.

Key Responsibilities

1. Platform Ownership & Technical Direction

Own the design and evolution of Vallorii’s core platform architecture.
Build a modular, reusable backend that supports multiple connected products built on shared quantitative engines.
Define technical standards for structure, testing, documentation, versioning, and auditability.
Ensure systems are robust, explainable, and defensible in regulatory and investor-facing environments.
Make pragmatic architectural decisions that support rapid iteration today without compromising long-term scalability.

2. Production Integration of Quantitative & AI Capabilities

Convert research-grade quantitative models into reliable, production-ready services.
Design clean interfaces between modelling engines, data pipelines, and application layers.
Establish reusable components so models can be deployed consistently across clients and products.
Integrate AI/LLM workflows where they create structural advantage.
Collaborate closely with quantitative colleagues to ensure engineering rigour without diluting analytical depth.

3. Productisation & Structured Deployment

Translate bespoke client deployments into reusable platform capabilities.
Support the identification of patterns across advisory work and convert them into configurable product features.
Support early product demos and technical validation with clients.
Implement disciplined release cycles, testing standards, and performance monitoring.
Maintain high engineering quality while operating in a fast-moving, early-stage environment.

4. Engineering Leadership & Team Development

Operate with high autonomy and initiative, taking responsibility for delivery from design to deployment.
Lead engineering execution as a hands-on individual contributor.
Establish how engineering operates at Vallorii: workflows, code review standards, CI practices, documentation norms.
Mentor and develop junior engineers as the team expands.
Contribute to hiring and help shape the long-term structure of the product team.
Create clarity of ownership between engineering, quantitative research, and product.

Skills & Experience

We recognise that strong candidates may come from a range of backgrounds. If you meet most - but not all) - of the criteria below, we still encourage you to apply.

Essential

Strong professional experience in software engineering (typically 5+ years), including backend/API development in Python and familiarity with cloud systems
Experience designing and deploying production systems in early-stage or fast-moving environments.
Ability to architect systems that integrate modelling engines, structured data, and web-based interfaces.
Experience with relational databases (e.g., PostgreSQL) and structured data workflows.
Familiarity with modern web application architecture (e.g., React-based front ends, REST APIs).
Experience with cloud-based infrastructure (e.g., AWS or Azure), containerisation, and CI/CD practices.
Ability to write clean, maintainable, well-tested code and to contribute to technical design discussions.
Strong communication skills and ability to work collaboratively across technical and non-technical teams.

Desirable

Experience integrating machine learning or LLM-based components into production systems.
Exposure to quantitative finance, infrastructure finance, regulatory economics, or complex modelling environments.
Experience building data-intensive or analytics-heavy platforms.
Experience mentoring engineers or contributing to technical hiring.
Interest in sustainability and the long-term performance of infrastructure systems.

Working Arrangements

Results-focused environment with flexible schedules and location options:

Full‑time
Oxford‑based company, with hybrid working within the UK.

Compensation & Growth

Compensation is competitive and will be structured to include salary and meaningful equity participation, aligned with Vallorii’s early‑stage growth and long‑term success.

Salary: From £90,000 depending on skills and experience.

How to Apply

Please send your CV to anita.bharucha@vallorii.com.

Vallorii is committed to building a diverse and inclusive team. We welcome applications from candidates of all backgrounds and particularly encourage applications from groups underrepresented in infrastructure, technology, and quantitative roles.

Quantitative Analyst / Associate

About Vallorii

Vallorii is a UK-based, purpose-driven infrastructure technology firm, building data-driven products based on a fundamentally new approach to the valuation of infrastructure (e.g., power & gas networks, water and wastewater, rail, airports, digital infrastructure).

One year in, we are in a new stage of growth, with a focus on scaling our products, deepening real-world deployment, and building the team and capabilities we need to support this expansion.

Join us and help transform how billions are invested in sustainable infrastructure, build the community of senior thought leaders, and create our culture as we scale.

You’ll join a growing team that embraces flexible, collaborative ways of working, operates with high responsibility and autonomy, and applies quantitative analysis to real-world infrastructure and sustainability challenges.

The Role

We are seeking a Quantitative Analyst / Associate to strengthen Vallorii’s core analytical capability. This role sits within an expanding Product 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.

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 the 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

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, risk, and value over time (e.g. TOTEX-based frameworks).
Stress-test models and results, ensuring analytical robustness, transparency, and internal consistency.

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.

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 ensure that complex quantitative results are interpretable and decision-relevant for non-technical audiences.

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.

Skills & Experience

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 below, we still encourage you to apply.

Essential

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 communication skills, with the ability to explain quantitative results to mixed technical and non-technical audiences.

Desirable

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.

Working Arrangements

Results-focused environment with flexible schedules and location options:

Full-time
Oxford-based company, with hybrid working within the UK.

Compensation & Growth

Compensation is competitive and includes base salary and meaningful equity participation, aligned with Vallorii’s early-stage growth and long-term success.

Salary bands:

Analyst: £50,000–£70,000 depending on skills and experience
Associate: £65,000–£85,000 depending on skills and experience

The role offers a clear development path as Vallorii scales, with leadership and autonomy from the outset.

How to Apply

Please send your CV, or request an initial discussion, to anita.bharucha@vallorii.com.

🚨 We are Hiring at Vallorii 🚨

We have opportunities for permanent and flexible project-based roles in: - Economics, econometrics and financial analysis - Valuation, financial modelling and risk - Data science and application of AI - Advisory and project delivery. If you’re motivated by analytical rigour, impact, and purpose, please get in touch and help shape how billions are invested for sustainable infrastructure.📍 Based in Oxford (with hybrid flexibility within the UK) 📩 Applications to: Vallorii@vallorii.com. We’re always open to hearing from exceptional people who want to change how capital is deployed into sustainable, resilient infrastructure.encourage applications from groups underrepresented in infrastructure, technology, and quantitative roles.