Financial Engineer · NYC

Patrick J. Murphy Munoz

Financial engineer bridging loan servicing and quantitative analytics. Building models that transform data into decision-relevant insight.

3.8/4.0
NYU GPA
2+
Years Experience
RTL · DSCR · Multifamily
Residential Real Estate Lending
English · Spanish
Bilingual Professional Communication

The full picture.

I'm a Financial Engineer with an M.S. from NYU Tandon School of Engineering and a B.S. in Industrial Engineering from Universidad Adolfo Ibáñez. My work sits at the intersection of quantitative finance, data engineering and operational efficiency.

Currently in loan servicing and asset management, I focus on automating portfolio reporting, building credit analytics tools, and developing early-warning scoring systems — actively bridging toward quantitative credit analysis roles and capital markets.

Proficient in Python, R, SQL, and Excel, I've applied these tools into my day-to-day work for automating portfolio reporting and building loan servicing tools.

CorePython · Pandas · NumPy
AnalyticsR · SQL · Excel
ML / AIscikit-learn · TensorFlow · NLP
FinanceFinancial Modeling · ARIMA
DatabasesMySQL · PostgreSQL · MongoDB
ToolsGit · LaTeX · Bloomberg

Where I've worked.

Stormfield Capital
Loan Servicing Associate
Jan 2026 - Present · Southport, CT
  • Onboard new residential and commercial real estate loans, verifying documentation and ensuring accurate servicing setup in portfolio systems.
  • Process borrower payments, managed escrow accounts, and coordinated draw requests, payoffs, and loan restructurings with internal and external stakeholders.
  • Prepare investor and asset performance reports, monitored covenant compliance, and escalated delinquency or default risks to support credit and workout teams.
Lendmarq
Asset Management Analyst
Jan 2025 - Sep 2025 · Westport, CT
  • Managed a portfolio of multifamily, RTL, and DSCR loans, overseeing the full servicing lifecycle from loan boarding through repayment.
  • Led investor reporting processes, compiling performance metrics and servicing updates for internal and external stakeholders.
  • Oversaw draw requests, extensions, and payoffs, ensuring compliance with loan agreements and accurate disbursements.
  • Analyzed asset performance trends and borrower activity to support risk management and portfolio strategy.
  • Served as a primary point of contact for borrowers and investors, handling communications with professionalism and accuracy.

Analyst Intern - Asset Management and servicing
Aug 2024 - Dec 2024 · Westport, CT
  • Supported the Asset Management team in servicing multifamily, Fix & Flip (RTL), and 30-year DSCR loans, gaining hands-on exposure to loan operations and performance tracking.
  • Handled borrower communications, including responding to inquiries and coordinating requests for draws, extensions, and payoffs.
  • Verified and processed payoffs and assisted with loan disbursements, ensuring accurate documentation and timely execution.
  • Assisted with loan boarding and collaborated with senior analysts to maintain portfolio accuracy and compliance.
Universidad Adolfo Ibáñez
Teaching Assistant, Finance and Mathematics Department
Mar 2019 - Jun 2022 · Viña del Mar, Chile
  • Designed weekly course materials and exercises in LaTeX across Financial Management, Linear Algebra, Differential Equations, and Multivariable Calculus.
  • Conducted monthly assessments to evaluate student comprehension and progress.
SILABUZ.COM
CodeCamp Tutor
Nov 2018 - Jan 2019 · Viña del Mar, Chile
  • Mentored economically vulnerable high school students in entrepreneurship and technology skills.
  • Guided students in developing prototypes using Design Thinking methodologies.

Things I've built.

NLP · LLM
AI-Driven Earnings Call Analysis

Chatbot applying GPT-4 and Retrieval-Augmented Generation (RAG) to analyze earnings call transcripts, surfacing key metrics for investors — growth, profit, and revenue signals.

Python OpenAI API RAG MongoDB HuggingFace
View repository →
NLP · Sentiment
Fed Policy Sentiment via NLP

Extracted hawkish/dovish sentiment signals from Federal Reserve communications (2018-2022) using FinBERT and NLTK, mapping central bank tone to market behavior.

Python FinBERT NLTK Pandas
View repository →

Tools of the trade.

Languages
Python
R
SQL
C
HTML / CSS
LaTeX
Data & Analysis
Pandas
NumPy
scikit-learn
Matplotlib / Seaborn
Excel (Advanced)
ML / Deep Learning
TensorFlow
NLP (FinBERT, NLTK)
LLM / RAG Pipelines
Databases & Tools
Git
Bloomberg Terminal

Academic foundation.

New York University
Tandon School of Engineering
Brooklyn, NY · USA
M.S. Financial Engineering
GPA: 3.8 / 4.0 · Graduated May 2024
Relevant Coursework
Financial Mathematics Time Series Analysis Stochastic Processes Derivatives Pricing Sentiment Analysis in Finance
Universidad Adolfo Ibáñez
Viña del Mar · Chile
B.S. Industrial Engineering, minor in Business Analytics
GPA: 6.6 / 7.0 · Graduated April 2022
Relevant Coursework
Data Structures & Algorithms Machine Learning Data Visualization Applied Statistics Discrete Math Differential Equations

Let's connect.