Credit & Structured Finance

Financial Data
Infrastructure.

I help credit funds, lenders, and structured finance teams design and build the data systems that sit between messy inputs and reliable analytical outputs.

Ex-Morgan Stanley · Quantitative Developer · RMBS, CLO & Whole Loans
What I do
I work across the full stack of financial data problems — from raw data ingestion to production-grade analytical systems.
01

Data Infrastructure

Designing and building the systems that turn heterogeneous financial data into reliable, structured outputs — across formats, standards, and jurisdictions.

02

Quantitative Modeling

Valuation, risk, stress testing, and cash flow modeling for credit and structured finance. From single-asset analysis to portfolio-level frameworks.

03

Process Automation

Replacing manual workflows with scalable, automated pipelines. Turning recurring operational bottlenecks into systems that run without intervention.

04

AI / ML Implementation

Applying modern techniques to financial data problems where traditional approaches break down — document processing, classification, anomaly detection, NLP.

Where I come from
Morgan Stanley — Quantitative Developer
RMBS · CLO · Whole Loans · 5+ years
Valuation, risk, and stress test models for structured products across credit and derivative markets
Process automation initiatives eliminating hundreds of manual work hours across multiple workflows
End-to-end project ownership — from stakeholder requirements through delivery — with full autonomy over planning and execution
Cross-team coordination, hiring, and mentoring of new team members
MSc Finance BA Business Administration
Teams across European credit
I work with firms where financial data complexity is a core operational challenge.
Credit Funds Direct Lenders Fund Administrators Specialty Finance Structured Finance Asset-Based Lending Trade Finance
If your team is thinking about
financial data infrastructure.
I'd welcome a conversation about whether I could be useful.
Schedule a call →
or reach me at