Iván Sepúlveda

Education

Bachelor of Science in Physics
Minors: Engineering & Computer Science
Graduated: August 2019

Manager of Analytics, Counterparty Risk
February 2026 – Present

Built counterparty risk frameworks, KPIs, early-warning indicators, predictive models, and dealer scorecards to monitor credit/fraud risk across dealers, applications, and sales channels.
Implemented monitoring rules, alerts, dashboards, and risk committee materials communicating portfolio health, dealer trends, and fraud insights to leadership.

Sr. Analyst, Servicing Analytics
September 2025 – February 2026

Delivered analytics, reporting, and strategic insights across Servicing, Collections, Capital Markets, Legal, and Compliance to monitor portfolio health and operations.
Analyzed repayment behavior and servicing trends; designed A/B tests and presented recommendations to leadership, clients, investors, and financial institutions.

Sr. Risk Analyst
June 2021 – September 2025

Developed SQL/Gephi network analysis using IP, geographic, and business-registration data to identify risk and fraud among connected entities.
Built an XGBoost dealer offboarding model to predict each dealer’s probability of becoming offboarded at different time horizons: 3M, 6M, and 12M.
Implemented dynamic partner risk scorecards, daily-updating schemas, alerts, and data initiatives with Data Engineering using DBT, Apache Airflow, AWS, and Snowflake.
Monitored risk KPIs, conducted loan-level performance analysis, and maintained feedback loops with Credit Policy and Operations to improve portfolio credit quality.

Lead Software Developer, Contract
October 2019 – June 2021

Developed scripts and GUI software for high-frame-rate camera operation, video capture, image algebra, pixel-intensity analysis, and two-dimensional Gaussian characterization.

Data Analyst, Portfolio & Servicing Risk
August 2019 – June 2021

Applied K-means, hierarchical clustering, and Random Forest models to segment collection agents, analyze credit metrics, inform credit policy, and forecast portfolio losses.

C. T. Chavez et al. “Measurement of 2D density profiles using a second-harmonic, dispersion interferometer.” Review of Scientific Instruments 94.2, February 2023, p. 023503.
https://doi.org/10.1063/5.0119896
M. Nikolic et al. “Applicability of optical emission spectroscopy techniques for characterization of Ar and Ar/O₂ discharges.” Journal of Physics D: Applied Physics 54.27, April 2021, p. 275203.
https://dx.doi.org/10.1088/1361-6463/abf61c

Python
SQL
R
Java
LaTeX

Snowflake
DBT
Apache Airflow
Docker
AWS

Predictive Modeling
Machine Learning
Monte Carlo Simulations
Risk Analytics
Portfolio Analytics

Tableau
Matplotlib
ggplot2
Mayavi

Gephi
Entity Network Analysis
Fraud Network Detection

GitHub
Bitbucket