Quantitative Finance · Machine Learning · Global Markets

Peking University NSD × Baruch MFE Program

 

Program Overview / 项目简介

The National School of Development at Peking University and the Baruch Master of Financial Engineering (MFE) Program jointly present the 2026 NSD–Baruch MFE Summer Program — a selective academic and professional program designed for students seeking rigorous exposure to quantitative finance, machine learning, and global financial markets.

本项目由北京大学国家发展研究院与纽约市立大学 Baruch College 金融工程硕士项目联合举办，面向对金融工程、量化金融、机器学习与全球金融市场具有浓厚兴趣的优秀学生与校友开放。

Participants will engage directly with Baruch MFE faculty, students, alumni, and industry professionals through an intensive combination of academic coursework, industry exposure, application guidance, and networking activities.

项目将通过课程学习、行业交流、申请指导与高质量社群互动，帮助参与者系统理解现代量化金融的核心方法、行业逻辑与职业发展路径。

 

Why Baruch MFE

Established in 2002, the Baruch MFE Program is widely recognized as one of the world’s leading financial engineering master’s programs. The program is consistently ranked among the top programs in QuantNet rankings and is known for:

• rigorous quantitative training

• strong Wall Street industry connections

• outstanding placement outcomes

• deep integration between theory and real-market practice

Baruch MFE graduates are highly represented across global investment banks, hedge funds, proprietary trading firms, and asset management institutions.

 

Why This Program Matters / 项目价值

This program is designed for students who aim to:

• explore quantitative finance and machine learning at a graduate level

• prepare for future applications in finance, economics, statistics, or data science

• better understand careers in trading, quantitative research, and financial engineering

• gain exposure to real financial market practices

• connect with the Baruch MFE academic and professional ecosystem

本项目不仅提供系统化的课程训练，更帮助学生提前建立对全球量化金融行业的真实认知，并深入理解顶尖金融工程项目的学习与职业发展路径。

 

Program Information / 项目信息

Item	Details
Dates	August 10–15,2026
Format	Online
Language	English
Program Fee	RMB 2,000

 

Who Should Apply / 招生对象

This program is ideal for:

• NSD students and alumni

• Peking University students and alumni

• Tsinghua University students and alumni

•  Must also meet : ( 1 ) highlymotivated students interested inquantitative finance,machinelearning, economics, statistics, orfinancial markets. ( 2 ) participants are expected topossess strong academic motivationand quantitative curiosity.

 

Program Components / 项目结构

The program consists of four integrated components:

1. Advanced Academic Training

2. Financial Industry Exposure

3. Graduate Application & Interview Preparation

4. Networking with the Baruch Community

 

1. Advanced Academic Training / 高阶课程训练

Machine Learning for Finance

5 sessions × 2 hours

This course provides a rigorous introduction to machine learning techniques widely used in modern quantitative finance, with emphasis on modeling intuition and financial applications.

Topics include:

• Tree-based methods

• Random forests

• Dimensionality reduction

• Support vector machines

• Generative models

 

Options Trading and Arbitrage

3 sessions × 2 hours

This course introduces the core principles of options pricing, arbitrage-free relationships, and practical trading strategies used in modern derivatives markets.

Topics include:

• Option convexity

• Arbitrage strategies

• Volatility trading

• Spread structures

• Straddles and strangles

• Market-view implementation using options

 

Technical Seminar

Relative Entropy-Regularized Optimal Order Execution

1 session × 1 hour

A research-oriented seminar introducing advanced quantitative methods in optimal execution and stochastic control under uncertainty.

Topics include:

• Relative entropy methods

• Stochastic differential games

• HJI equations

• Linear-quadratic control models

 

Faculty / 师资团队

• Dan Stefanica
  Director, Baruch MFE Program

• Giulio Trigila
  Baruch MFE Faculty

• Tai-Ho Wang
  Baruch MFE Faculty

• Ken Abbott
  Baruch MFE Faculty

 

2. Financial Industry Exposure / 金融行业交流

Participants will join virtual sessions with professionals from leading global financial institutions, including buy-side and sell-side firms actively recruiting Baruch MFE graduates.

These sessions provide insight into:

• quantitative research and trading

• recruitment expectations

• career development in global finance

• real-world market practices

 

3. Graduate Application & Interview Preparation / 申请与面试指导

Participants will receive structured guidance from Baruch faculty, alumni, and current students on:

• graduate school applications

• quantitative finance interviews

• technical preparation

• behavioral interviews

• long-term career planning

Selected participants may also be invited to mock interview sessions.

 

4. Networking with the Baruch Community / 高质量社群交流

Participants will engage with:

• Baruch MFE alumni working in global financial institutions

• current Baruch MFE students

• faculty members of the Baruch MFE Program

The program aims to provide meaningful long-term connections within the quantitative finance community.

 

Certification / 项目证书

Participants who successfully complete the program will receive a Certificate of Completion jointly issued by the program organizers.

Outstanding participants may additionally receive a Certificate with Distinction in recognition of exceptional performance and engagement.

 

How to Apply / 申请方式

Application period

• June 1, 2026 to June 17, 2026 

Application Link

https://pkunsd.wjx.cn/vm/rZf9CKU.aspx

 

Required Materials

• Chinese & English resume (combined into one PDF)

• Chinese & English transcript with official academic stamp

• Proof of English proficiency

• ID photo (JPG/JPEG)

 

File Naming Format

[Full Name + Document Type]

Examples:

• Xiaoze Cheng_Resume

• Xiaoze Cheng_Transcript