What is Emanuel Paulet's background?

MSc Finance and Risk from the London School of Economics; visiting student in Economics at Oxford with First Class marks; 110 cum laude in Banking and Finance from Siena. Currently at Henry Costa Partners, a London merchant bank, working across investor outreach, software engineering and porfolio management.

What kind of roles is Emanuel Paulet looking for?

Open to analyst and entry-level roles in portfolio management, investments, private credit and investment analysis, private equity, alternatives, quantitative research in the United Kingdom and Italy, including remote and relocation.

What technical skills does Emanuel Paulet have?

Python, SQL and C++; data pipelines and ETL; REST APIs; Amazon Web Services, Microsoft Azure and DigitalOcean; data visualisation and business intelligence tooling. On the credit side: Solvency II and regulatory capital, Value at Risk, the Merton and Vasicek models, asset allocation and financial modelling.

What was Emanuel Paulet's MSc dissertation about?

Credit risk and regulatory capital treatment in opaque private credit portfolios. It proposes a Value at Risk measure for US business development companies built on the Vasicek (2002) portfolio loss model and Merton (1974) structural default, and compares the result against Solvency II treatment of the same exposures.

How can I get Emanuel Paulet's CV?

Through the request form on emanuelpaulet.me. It is emailed to the address you supply. Direct contact: contact@emanuelpaulet.me.

Emanuel Paulet

I raised £60,000 to fund my place at the LSE, and built the data infrastructure that ran the campaign. Now doing both at a London merchant bank.

Focus: Financial analysis and data-driven decision making
Sector: Financial services, technology, business intelligence
Location: United Kingdom and Italy. Available for remote work and relocation.

Overview

The fundraising campaign was a cold-outreach operation: build the list, enrich it, track coverage, follow up. I wrote the tooling for it because nothing off the shelf fit, which is how I ended up doing the same work professionally.

Across my professional experience I have worked on the sales, investment and engineering sides of a business: identifying and approaching lead investors, and building the tools that turn scattered filings into structured, usable data. On the engineering side that has meant data pipelines, visualisation tools and larger applications, in Python, SQL and C++, deployed on AWS, Azure and DigitalOcean.

This combination of skills allows me to work across different projects and teams, and independentluy lean and adapt to new challenges.

London School of EconomicsMSc Finance and Risk University of OxfordEconomics · First University of Siena110 cum laude

Experience

2025 – Present

Henry Costa Partners

London · Merchant banking

Began in sales and investor outreach, developing an understanding of the private credit market and supporting origination and LP coverage across the current raise.

Moved into software development, building and running the firm's fundraising and prospect data infrastructure.

Now also involved in the investment process with a focus on portfolio management, working with models and standards for European insurance asset allocation under Solvency II.

Designed and deployed a KYB screening pipeline ingesting official European company registry data, giving direct access to financial and ownership information.
Built an institutional-investor prospecting system covering allocators worldwide, from universe construction through contact enrichment to coverage tracking.
Contributed to a Solvency II asset allocation model for European insurance clients, and built a tool to visualise its output and compare allocation scenarios.

Education

London School of Economics and Political Science

MSc, Finance and Risk Dissertation: credit risk and regulatory capital treatment in opaque private credit portfolios

2025 – 2026
University of Oxford

Visiting student, Economics First Class

2024 – 2025
University of Siena

BSc, Banking and Finance 110 cum laude

2022 – 2025

Tools and methods

Credit and markets: Private credit and direct lending · credit risk analysis · Solvency II and regulatory capital · asset allocation and portfolio management · Value at Risk, Merton and Vasicek portfolio loss models · financial modelling
Engineering: Python · SQL · C++ · data pipelines and ETL · REST APIs · Amazon Web Services, Microsoft Azure and DigitalOcean · data visualisation and business intelligence tooling
Data and diligence: KYB and AML screening · European company registry data · beneficial ownership research · investor prospecting and CRM systems · contact enrichment and coverage tracking
Languages: English · Italian

Research

Credit risk and regulatory capital in opaque private credit portfolios

MSc dissertation · London School of Economics and Political Science · 2026

Private credit has grown faster than the machinery for measuring it. Marks are infrequent, loan documentation is bespoke, and exposure data sits in unstandardised formats across borrowers, agents and administrators. The result is an asset class whose risk is difficult to observe and therefore difficult to capitalise consistently.

This dissertation takes US business development companies as its object of study, since they are among the few private credit vehicles with a public reporting obligation and therefore a usable data trail. It proposes a Value at Risk measure built on the Vasicek (2002) single-factor portfolio loss model, with obligor default probabilities derived structurally from Merton (1974), and compares the resulting capital figure against the treatment the same exposures would receive under Solvency II.

I provided a sensible range of Value-at-Risk, and validated the model with 200,000 Mone Carlo simulations. The result was a capital figure that was on the higher side of the Solvency II treatment, highlighting the prudential view of EIOPA on the risk of these exposures.

Models: Vasicek (2002) single-factor portfolio loss; Merton (1974) structural default
Framework: Solvency II standard formula, spread risk sub-module
Universe: US business development companies
Measure: Value at Risk, regulatory capital comparison

Natural resources and growth in the United Arab Emirates

Undergraduate research · University of Siena

An application of the Solow (1956) growth model to the expansion of the UAE economy, asking which factors drove growth, where the risks to it lie, and how policy and institutional choices could push the economy off its steady-state path.

Current interests

Measurement in illiquid credit

Valuation practice where marks are infrequent, and what a capital framework can reasonably require of exposures that resist observation.

Registry infrastructure

Public company-registry data across Europe, and what standardised beneficial ownership would change about counterparty diligence.

In brief

What is your background?: MSc Finance and Risk from the London School of Economics; visiting student in Economics at Oxford with First Class marks; 110 cum laude in Banking and Finance from Siena. Currently at Henry Costa Partners, a London merchant bank, working across investor outreach, software engineering and portfolio management.
What roles are you looking for?: analyst and entry-level roles in portfolio management, investments, private credit and investment analysis, private equity, alternatives, quantitative research in the United Kingdom and Italy, including remote and relocation.
What are your technical skills?: Python, SQL and C++; data pipelines and ETL; REST APIs; Amazon Web Services, Microsoft Azure and DigitalOcean; data visualisation and business intelligence tooling. On the credit side: Solvency II and regulatory capital, Value at Risk, the Merton and Vasicek models, asset allocation and financial modelling.
What was your MSc dissertation about?: Credit risk and regulatory capital treatment in opaque private credit portfolios. It proposes a Value at Risk measure for US business development companies built on the Vasicek (2002) portfolio loss model and Merton (1974) structural default, and compares the result against Solvency II treatment of the same exposures.
How do I get your CV?: Through the request form on this page. It is emailed to the address you supply, with a download link as a fallback. Direct contact: contact@emanuelpaulet.me.