Sales Electrical Engineering

Li Ding

Mobile: 718-***-**** E-mail: *************@*******.***

SUMMARY

Graduate student in Financial Statistics and Risk Management with an undergraduate dual degree in both

Financial Mathematics and Electrical Engineering and proven experience in financial modeling, statistics

techniques and programming skills. I am able to leverage large data sets into actionable intelligence. I have

excellent verbal and written communication skills and an aptitude for multi-tasking.

EDUCATION

Rutgers University, New Brunswick, NJ Expected 2013

Master of Science in Financial Statistics and Risk Management

University of Michigan, Ann Arbor, MI, dual with Jiaotong University May 2012

Bachelor of Science in Financial Mathematics with major course GPA 3.62 / 4.00

Shanghai Jiaotong University, Shanghai, China, dual with University of Michigan August 2012

Bachelor of Science in Electrical Engineering with major course GPA 3.52 / 4.00

WORK EXPERIENCE

Guotai Jun an Securities, Shanghai, China: Summer intern, Equity Research Summer 2011

Supported the sales and trading division by preparing reports for clients on portfolio allocation and

investment strategies to target a twelve percent annual return for their portfolio.

Developed comprehensive Excel spreadsheets to process clients margin account data to provide clients with

up-to-date information for their balance in stock index futures.

Citibank Co., Ltd, Shanghai, China: Summer intern, Sales Assistant Summer 2010

Prepared sales documentation and managed day-to-day document flows.

Followed up on outstanding items for loan completion and accounts set-ups.

Developed and implemented an Excel application to track loan and traded products collateral value and

status and to test the eligibility of collateral to meet the requirements of Citibank.

Independent Research Project

Numerical Solution for Option Pricing Model in Hexagon Grid Base 2011-2012

Established a three-dimensional hexagon grid model in MATLAB to value options. By reducing the number of

iterations at each node, the model increases operation efficiency in option pricing by 25% which allow users

to place more trades per time unit.

EXPERTISE AND SKILLS

Advanced computational and statistical techniques in regression modeling and option pricing modeling

Supporting computer skills: C++, R, MATLAB, JAVA and Microsoft office Suite

Excellent verbal and written communication skills in both Mandarin and English

HONORS AND CERTIFICATIONS

Certifications: Actuarial exam P/1.

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