Jonathan Brownstein

MSE, FLMI | Quantitative Analyst

Transforming complex data into actionable insights through advanced analytics, machine learning, and automated reporting solutions.

Jonathan Brownstein

About Me

As a seasoned Quantitative Analyst, I have a proven track record of developing and implementing innovative solutions that streamline business processes into actionable insights through advanced reporting and dashboards. My expertise in creating interactive and repeatable reporting enables me to effectively communicate with diverse audiences, including the Executive Board at Hannover Reinsurance.

I have consistently delivered high-value solutions that have contributed to the business's success, leveraging cutting-edge technologies and data-driven approaches to solve complex business challenges.

Professional Experience

Quantitative Analyst

Hannover Reinsurance Company LLC 2019 - Present
  • 2025: Developed an automated machine learning solution that forecasts Net Amount at Risk for every insurance coverage reported by Ceding Companies. This solution substantially reduced the manual analysis required by approximately half of our workforce working on this analysis.
  • 2024-2025: Developed a solution that integrates automation and machine learning techniques (classification modeling) for the Company's Board of Directors. This solution resulted in substantial improvements in accuracy and consistency and was recognized by The Chief Executive Officer as having significant value for the organization from a global perspective.
  • 2024: Developed a solution for the Company's Senior Vice President of Operations that employs an ETL process to import data provided by Ceding Companies on a recurring basis. This data is subsequently reformatted into a usable format, thereby eliminating the necessity for an external consultant to make routine updates to a legacy program.
  • 2024: Developed an automated and scalable solution for the Company's Senior Vice President of Operations, which enables seamless employee interaction with more than 90 individuals.
  • 2023: Developed an automated solution that identifies outliers in the Company's data using statistical analysis. A corresponding management report displays all outliers, and a drill-down report is reviewed daily by several analysts. This solution has detected significant issues before they escalate into problems for downstream users.

Assistant Business Controller

Chicago Pneumatic Company LLC 2012 - 2018
  • In collaboration with internal departments, such as General Management, Human Resources, Sales, and Marketing, I spearheaded the development of automated department reporting dashboards. I had effectively managed external resources to accomplish diverse tasks and gained valuable insights from various experts.

Education

FLMI

LOMA 2022

MS Economics

UNC Charlotte 2020

Certificate in Applied Econometrics

UNC Charlotte 2020

BS Economics

UNC Charlotte 2012

Featured Projects

Master's Thesis

Research Project

Nominated for Outstanding Master's Thesis Award by Economics Department Chair

"Has the Shrimping Industry Bounced Back Since Deepwater Horizon?" - A comprehensive econometric analysis examining the economic recovery of the U.S. shrimping industry following the 2010 Deepwater Horizon oil spill. This research employs advanced statistical modeling techniques, time series analysis, and regression methods to assess the long-term economic impacts on shrimping operations, production levels, and market dynamics. The study demonstrates expertise in econometric modeling, data analysis, and rigorous academic research methodologies.

UNC Charlotte 2020
Econometrics Time Series Analysis Regression Analysis R Python Statistical Modeling

Skills & Abilities

Programming Languages

SQL Python R VBA

Data Visualization

Tableau Power BI SSRS

Machine Learning & Analytics

  • Machine Learning (13 years)
  • Python & R Development (13 years)
  • Statistical Analysis

Data Engineering

  • Relational Databases & SQL (11 years)
  • AWS Data Utilization
  • Large Dataset Handling (1+ trillion records)

Automation & Development

  • Automated Reporting with User Interaction
  • AI-Powered Development (Cursor AI and VS Code)
  • ETL Processes

Collaboration

  • International Team Collaboration
  • Executive Communication
  • Cross-functional Leadership

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