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Data Financial

Location:
Kings County, NY
Posted:
September 28, 2017

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Resume:

Jian Xiao Quantitative Analyst

**** ***** ******, ********, **347-***-**** • ac2ijq@r.postjobfree.com

A hardworking, resourceful, and ambitious economist with extensive understanding of economic theory and its practical implications. Experienced at undertaking analytic work and research projects with minimal supervision, in addition to working in a team environment with multiple priorities and tight deadlines. Possessing ability to communicate complex and sensitive information in an understandable form to colleagues and clients.

Develop, maintain, and apply stress testing framework for assessing the impact of global macro-economic scenarios on the firm's profitability and capital adequacy. (stress testing)

strong analytical, conceptual, and organizational skills with the ability to work under tight deadlines

understanding and interest in macroeconomic mechanisms and their influence on financial markets,

an excellent understanding of the following terms: stationarity, OLS, R-squared, goodness of fit, out-of-sample, null hypothesis, p-value, risk-neutral, collinearity, fixed and random effects, heteroscedasticity.

Strong knowledge of statistical and econometric methods and their application. Hands-on experience with data analysis, statistical, optimization and simulation packages

Enthusiastic to take on challenging projects involving continuous quality standard improvement when performing statistical analysis of industry and economic data.

KEY STRENGTHS

Data analysis

Forecasting and modeling

Financial modeling and pricing model

Stress testing

Extract larger themes while providing concise, articulate, and insightful analysis in both written and verbal form

Presentations documentation and attention to detail

Effective Communication

TECHNICAL ACUMEN

Software & Programming Languages: R • EVIEWS• SPSS • SAS • STATA

Modeling & Testing: Time Series Data (Vector Auto Regression Model, ARIMA model and Error Correction Model) • Panel Data (Hausman Test on model validation, Fixed or Random effects) • Cross-sectional Data • Econometrics (Granger Causality test, Variance Inflation Factor and Durbin Watson test)

Econometrics’ model: Ordinary Least Square • Vector Auto Regression Model • Vector Error Correction Model • Error Correction Model

Large datasets: Using SQL querying

Programming knowledge: Basic Python

EDUCATION & CREDENTIALS

FORDHAM UNIVERSITY – Bronx, NY awarded: 2017

Ph.D. in Economics

STEVENS INSTITUTE OF TECH – Hoboken, NJ awarded: 2009

M.S.in Management

RESEARCH PROJECTS

Dissertation: “An empirical study on the impact of microfinance institutions on development.”

Implemented various hypothesis testing techniques such as unit root test, Hausman Test on model validation, Auto Regression test, Durbin Watson test on variables’ multicollinearity, TY Granger Causality test on microeconomic and financial variables in different countries. RESULTS show that increased on business sales volume, profits and physical assets are the impact of adequate microfinance access (statistically significant at P 0.05 level of significant). Statistically the finding shows that the increased of business capital structure has no direct relationship with microfinance access (insignificant by 0.104 when P 0.05 level of significant).

Financial Economics Project-Pricing model

Derived the capital asset pricing model (CAPM) models (Financial Modeling) and calculated the Risk Measure of selected assets. The CAPM is an idealized portrayal of how financial markets price securities and thereby determine expected returns on capital investments. Completed descriptive and multivariate analysis of large volumes of data that allowed to create more in-depth analysis.

WORKING EXPERIENCE

Capital stack-NY July 2017-Present

Quantitative analyst intern (Full-time)

Applying sophisticated numerical techniques and writing software to develop and analyze statistical models.

Write data analysis (R) code to verify and test new and existing models.

Improve existing calculation models.

Strong problem-solving skills and the ability to independently come up with practical solutions.

FORDHAM UNIVERSITY – Bronx, NY May 2013 – June 2017

Research/ Quantitative Associate - Stress testing

Handling various types of studies and are responsible for collecting and organizing data.

Responsible for developing and implementing complex mathematical models that MFI use to make decisions about risk management investments and pricing.

In the application of mathematical and statistical methods to financial and risk management problems such as stress test (financial), economic capital analysis and direct analysis of the positions and models.

Maintaining databases, gathering and analyzing data, writing reports and presenting findings.

Using R and Excel to manipulate and analyze large datasets of over 750,000. (Credit risk, capital requirements and liquidity risk)

Performing independent research on how to improve statistical methods to produce more accurate estimates. (model testing, review and validation)

Synthesize findings, prepare presentations.

Ability to collaborate with cross-functional teams and work independently with minimal supervision.

FORDHAM UNIVERSITY – Bronx, NY Aug 2012 - June 2017

Teaching Associate

Lecturing multiple sections of undergraduate Macroeconomics and Microeconomics classes as assigned.

Supervising undergraduate students in Macroeconomic and Microeconomic research and offer guidance and advices as a subject matter expert.

Info serve-Fushun, China 2010 - 2012

Data Analyst

• Built statistical forecasting models that helped to check monthly data quality by developing models, validating performance, coding and implementing models.

• Effectively resolved client inquiries on specific data quality issues by determining problem source, applying trend analysis and communicating with account managers.

• Demonstrated in-depth skills in clearly explain financial information and recommendations to non-financial individuals as well as handling multiple tasks simultaneously, to make linkages, and to use common sense in solving problems and making decisions.



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