Data Office

Mingjin Wu

*** ******** ***** *****, **********, NJ • 240-***-**** • *******.**@*******.***.***

EDUCATION

Robert H. Smith School of Business, University of Maryland, College Park, MD May 2019

• Master of Quantitative Finance GPA:3.73

• Vice president in Master Finance Association

The University of Nottingham, Ningbo, China Jul 2017

• Bachelor of Science (Hons) International Business Economics

• Director in Academic and Career Office, Student Union

• Foreign Exchange student with the University of Nottingham United Kingdom (Sep 2015 - Feb 2016) RELEVANT EXPERIENCE

USAA: Experiential Learning Project, College Park Sep 2018 – Dec 2018

Explored a new model to predict default and prepayment of mortgage loan including a stochastic process and Monte Carol simulation for interest and House Price Appreciation for valuation purpose

Constructed a training dataset for more than 35 million new loans from Fannie Mae and Freddie Mac, cleaned the data and calculated the conditional and unconditional default rate and prepayment rate

Utilized the stratified sampling method and constructed a historical sample dataset with the similar distribution and univariate performance with the training dataset and validated the model using SAS WORK EXPERIENCE

FINRA, Washington D.C. Jun 2018 – Dec 2018

Risk Analyst, Office of Risk

Participated in multiple projects and assisted the risk team to develop operational risk framework, to visualize risk assessment report used in examination monitor process and to enhance credibility of analysis through SQL, R, Python and Tableau

Constructed a dataset of three million defaulted municipal bonds through Bloomberg, established a model to predict municipal bond defaults within SAS and Python, and provide strategic solution for regulators

Coordinated with people in different teams, identified the risk factors recommended by the regulator and processed the risk assessment to create municipal examination plan document

Utilized available data and designed a new tool to effectively monitor the fluidity of firm exam plan and risk change in the membership. Analyzed new and withdrawing firms from a risk perspective Evalueserve, Shanghai, China Jun 2016 – Aug 2016

Global leading provider of proprietary solutions and services for research, analytics and data management. Business Analyst

Collected data for market entry consulting projects, proficiently used database and cold calls to research required information and gained basic knowledge of different industries including health care and manufacture industries

Provided solutions based on established objectives and reduced manufacturing cost of a mobile phone manufacture by 20%

National Computer System PTE. LTD; Shanghai, China July 2015-August 2015 The leading information, communications and technology (ICT) service provider Summer Intern (outsourcing to banks)

Sorted out credit information of enterprises within the Citibank internal system and communicated with colleagues in different groups to examine and polish documents.

Collaborated with administrative matters, filed overstock document within three days and assisted colleagues in Bank of America Merrill Lynch to address annual inspection data

Worked in a heavy-pressured environment, promptly adapted to fast-pace working environment and learned quickly through communication

LEADERSHIP AND VOLUNTEER EXPERIENCE

VITA Sep 2017 – April 2018

Volunteer

Interacted with clients and prepared file folders for them; Coordinated with client to ensure the process update and answer all the questions raised by clients in time

Reviewed tax documents, prepared current, prior year, and amended federal and state income tax returns using professional tax software

AXA, Hong Kong;

Summer Marketing project team leader Jul 2014

Led market research to gather information from 156 customers about attitudes in insurance

Applied research data to analyze consumer market of HK’s insurance products in Chinese mainland

Facilitated a team of 6 to complete a business proposal and present it to executives ADDITIONAL INFORMATION

Certificate: CFA Level III candidate, Passed FRM Part I and II

Technical: SQL, R, SAS, Tableau, Python, Bloomberg, Excel, InDesign, Stata

Languages: Fluent in English and Mandarin

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