Quant developer
Resume:
CHENGJUNJIE DING
** **** ***, *** ****, NY *****
***************@*****.***
TECHNICAL SKILLS
Languages: Python, Java, MATLAB, R, VBA, Verilog, C++, PHP, Bash Software/OS: Linux, GitHub, NetBeans, PyCharm, Xilinx, MIPS architecture, Bash, MySQL, Windows EDUCATION
2017 - Present FORDHAM UNIVERSITY, GABELLI SCHOOL OF BUSINESS New York, NY MS, Quantitative Finance, GPA 3.66
Relevant Courses: Computational Finance; Financial Modeling; Simulation Application; Finance Theory; Financial Econometrics; Business Communication; Basic of Derivatives; Equity Style Derivatives; Fixed Income Securities; Risk Management 2013 - 2017 BUCKNELL UNIVERSITY Lewisburg, PA
BS, Computer Science and Engineering, GPA 3.8
Relevant Courses: AI & Cognitive Science; Algorithms & Data Structures; Software Engineering & Design; Digital Systems; Programming Language Design; Database; Computer Architecture; Operating Systems Design; Numerical Analysis WORK EXPERIENCE
09/2016 - 04/2017 Medtrics Lab LLC Lewisburg, PA
Software Developer
Led Automated Scheduling of Residency Programs
Programmed in Python for greedy algorithm solution with 0.12s scheduling time
Optimized data structure and data format between server and algorithm resulting in 66% speeding up
Guided the GUI team to improve the user interface and made 13% more profit
Communicated with clients in for optimizing system and user interface 05/2016 - 06/2016 Guotai Junan Securities Shanghai, China Intern in Fixed Income Department
Optimized and improved related financial algorithm by generating GUI with MATLAB
Generated Transaction Log (including financial index like PMI, M2) every day
Did Interest Margin Analysis, and updated related financial data every day 07/2016 - 08/2016 Guotai Junan Securities Shanghai, China Intern in Investment Bank Division
Learned the business process of IPO, Private Offering, Issuing, Merge & Acquisition etc.
Analyzed in market research and evaluation of two overseas M&A projects
Won FinanceAsia Achievement Awards – Best Pakistan Deal for one M&A project PROJECT
2017 Racing Game AI (Machine Learning)
Applied visual identification into the system instead of using the given game data
Built a neural network to train our AI by using the NEAT algorithm
Designed the fitness function
2018 Fundamental review of the trading book (FRTB)
Learnt the Standardized Approach (SA) and the Internal Models Approach (IMA)
Implemented SA and IMA on the FINASTRA platform
PERSONAL EXPERIENCE
2013 - 2016 Personal trading in Chinese stock market 2017 - Present Personal trading in American stock market 2018 2018 CME Group Trading Challenge
ADDITIONAL
Honor: The Best Ultimate Robotics Performance Award in Trinity College Fire Fighting Home Robot Contest
Language: Native in Chinese; Proficient in English; Fluent in Korean
Contact this candidate