ad0iqx@r.postjobfree.com (***) NANYU ***-**** www.JIANG linkedin.com/in/nanyu-jiang
EDUCATION
NEW YORK UNIVERSITY, TANDON SCHOOL OF ENGINEERING Brooklyn, NY Master of Science in Financial Engineering Expected 05/24 GPA: 3.9/4.0
XI’AN JIAOTONG UNIVERSITY Xi’an, CN
Bachelor of Science in Mathematics and Applied Mathematics 07/22 GPA: 88/100
(Double Degree) Bachelor of Economics in Financial Engineering (China Construction Bank Fin-tech Elite Class) PROGRAMMING / TECHNICAL SKILLS / CERTIFICATIONS
• Skills: Python, MATLAB, C/C++, C#, R, SQL, LaTeX, Plotly
• Certification: CFA Level 1 & 2
COURSEWORK HIGHLIGHTS
• Mathematics & Statistics: Option Pricing & Stochastic Calculus, Quantitative Methods in Finance, Probability, Statistics
• Programming: C++ for Financial Engineering, Data Analysis and Statistical Software(R), Database Knowledge and Application
• Finance and Economics: Algorithmic Portfolio Mgt., Fixed Income Quant Trading, Fixed Income Securities & IR Derivatives
• Expected (Fall 2023): Econometrics and Time Series Analysis, Quantitative Equity Trading, Financial Analytics & Big Data EXPERIENCE
ORIENT Trading System SECURITIES, R&D Department, Shanghai, Strategy CN Research Intern 06/23 -08/23
• Researched on FX implied volatility surface and constructed polynomial, cubic spline, SVI, SABR, Wing models with Python.
• Assessed the surfaces’ no-arbitrage property and built local volatility surface to support Heston-LSV model construction. GF SECURITIES, Guangzhou, CN
Derivatives Brokerage Business Department, Quantitative Intern 07/21 - 08/21
• Constructed trading signals and designed timing strategies based on combined technical indicators, backtested with Python.
• Priced barrier options with Monte Carlo methods using Python, and conducted sensitivity analysis. RESEARCH & ACADEMIC PROJECTS
NEW YORK UNIVERSITY, NY
Reinforcement Learning in Quantitative Wealth and Investment Management, capstone project with BOA
• Designed Hierarchical Deep Reinforcement Learning model based on PPO, A2C, GRU and self-attention to construct goal-based investing portfolios, realizing assets selection and rebalancing functions. 05/23 - 08/23
XI’AN JIAOTONG UNIVERSITY, Xi’an, CN
Deep Learning of Active Galactic Nucleus Feedback Simulation Data, A+ graduate design 10/21 - 06/22
• Constructed LSTM model and self-attention based CNN model to make multi-step forecast of time-series data, using Pytorch.
• Built auto-encoder based model to realize spatial time-series features dimension reduction and feature extraction. Dynamic Relationship between China’s Futures and Equity Index and Network Analysis based Pair Trading Strategy 03/22 - 05/22
• Designed important futures discovery index with LeaderRank algorithm, constructed and analyzed co-movement networks of China’s futures and equity index with coarse granularity method, using NetworkX and Gephi.
• Designed trading algorithms based on pair trading strategy and former research, and backtested with Python. Machine Learning-based green assessment of listed companies, Research Program of Fin-tech 10/21 – 01/22
• Learned about ESG criteria, applied feature engineering with Python and formulated China-specific indicators.
• Developed models to assess greenness of China’s listed company, based on random forest, decision tree, logistic regression, and green scorecard model. HONORS / AWARDS / COMPETITIONS
• Honor Title of Outstanding Graduate, Student & Scholarship, Xi’an Jiaotong University, 2019-2022
• China Construction Bank Scholarship, 2nd/30 in CCB Fin-tech Elite Class, 2022
• Meritorious Winner (10%), Mathematical Contest in Modeling/Interdisciplinary Contest In Modeling, 2022 EXTRACURRICULAR ACTIVITIES
• New York University, Course Assistant, Fixed Income Securities and Interest Rate Derivatives (FRE-6411), 2023 Fall
• Bulls & Bears Club, Quant Research department, quantitative strategies design, 2022
• Microsoft Student Club, Vice Chairman, organized club activities and hold weekly technical sessions, 2019-2020