MS Financial Engineering Industry Project Experience

FRE-GY 7043
Open Closing on May 5, 2025
New York University
New York, New York, United States
He / Him
Industry Professor / Program Director
1
Timeline
  • May 19, 2025
    Experience start
  • August 14, 2025
    Experience end
Experience
5 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Financial modeling Financial services Investment Risk, audit and compliance
Skills
financial engineering monte carlo methods algorithms portfolio management econometrics financial analysis environmental finance financial modeling artificial intelligence data analysis
Learner goals and capabilities

This experience is designed for learners in the MS Financial Engineering Capstone course, where they will apply advanced financial techniques and data analysis skills to real-world industry projects. Participants will leverage their knowledge of factor models, Monte Carlo simulations, econometrics, and AI techniques to solve complex financial problems. By working closely with industry professionals, learners will gain practical insights and expertise in areas such as portfolio management, sustainable finance, and financial data analysis.

Learners

Learners
Graduate
Intermediate levels
75 learners
Project
120 hours per learner
Educators assign learners to projects
Teams of 5
Expected outcomes and deliverables
  • Software product implementing financial algorithms
  • Comprehensive data analysis report with actionable insights
  • Presentation of findings and recommendations to industry professionals
  • Prototype of a financial model or tool
  • Documentation of methodologies and processes used in the project
Project timeline
  • May 19, 2025
    Experience start
  • August 14, 2025
    Experience end

Project Examples

Requirements
  • Development of a stock or bond recommendation system using machine learning
  • Analysis of alternative financial data for sustainable investment strategies
  • Creation of a Monte Carlo simulation tool for risk management
  • Design of a natural language processing application for financial news analysis
  • Implementation of a factor model for portfolio optimization
  • Exploration of environmental finance data to assess impact investments
  • Development of realistic financial scenario generation algorithms
  • Enhancement of existing financial software products with new features

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Checkbox
     *
  • Q2 - Checkbox
  • Q3 - Checkbox