Chiehlun Yang

• Managing and developing the Analytical Models of client-specific solutions and assisting business partners to apply the automatic procedures or machine-learning methods to optimize the decision-makings impacts. • Developing and applying various statistical tests and modelling techniques to identify or recommend improvements to better models. • Validating the testing works including, but is not limited to evaluating the conceptual soundness and implementation of the methodology, the validity of assumptions, the quality of data, and the accuracy of the outputs. • Collaborating with strategic decision makers to achieve process improvement and data automation through reengineering procedures. • Leading cross-functional projects related to trading transaction data validation & quality assurance of data transmission on global capital markets. • Documenting for the use cases and technological manuals for business operations. • Hosting and monitoring the weekly cross-functional meetings to mentor the project improvements on schedule. Tools: Python/SQL/R/VBA

JPMorgan Chase & Co. | Oct 2015 - Jan 2021

Senior Finance Associate

• Managed key projects for Financial Data Architecture Model, including Data Validation, data visualization, specific model backtesting and real-time data processing for analytical platforms and applications. • Built and presented analytical data visualization platform to executives on JP Morgan Chase Commercial Banking daily deposits balance and repo rate change. • Developed advanced data-mining algorithms and identified the relationship between business objects and financial products. • Managed and developed the benchmark system (scorecards) to estimate and predict the credit risk likelihood and default probabilities for efficiently managing the commercial loans/leases portfolio. • Organized the information roadmap to distribute analytical data of financial products (loans, credit related products, and deposits) to internal stakeholders across business lines, e.g., budgeting analysis and FP&A in establishing the ETL automatic platform

JPMorgan Chase & Co. | Feb 2015 - Oct 2015

Risk Reporting Associate

• Planned and executed the analytical reporting dashboards of Credit Risk Data information by managing the efficient big data warehouse (Teradata/SAS/Cognos/Tableau) to support evaluating the impacts & forecasting the trends in credit events or frauds. • Worked closely with the Risk Team as well as other wholesale/retailing credit management groups (the Basel Committee on Banking Supervision, BCBS) on various SAS-based modeling projects.

JPMorgan Chase & Co. | Oct 2013 - Feb 2015

Risk Analyst

N/A

Duke University, Fuqua School of Business | Jul 2011 - Sep 2013

Statistical Programmer

o Executing the database management, statistical programming and consulting for research software support, account administration and technical documentations. o Retrieving, transferring, merging, editing and cleansing research related datasets & creating the custom databases from existing datasets. o Providing the consultation and support for third party financial datasets and services such as CRSPLink, TAQ, Zack’s, Moody’s and WRDS

Forex Sign Inc | Jul 2010 - Jul 2011

Trader

• Assess real time market positions, market trends and conditions that affect the global capital market to find profitable trading opportunities and to evaluate portfolio market exposure and risk. • Track global news on macroeconomic and geopolitical events and forecast relative currency strengths of major countries. • Conduct extensive research on how global capital market performs through fundamental and technical analysis.

Blue Star Energy Service | Feb 2008 - Jun 2010

Statistical/Quant Analyst

-Follow up with Risk Management and Energy Operation Departments on trends and outliers observations in every month and daily results by segment and location. -Execute Monte Carlo simulation and numerical analysis to forecast the model results. -Execute electricity load data reporting based on SQL queries to pull performing data integrity analysis and input the information forecast models of load usage. -Program the forecasting models to predict current and all prior month or daily electricity load reserves and price trends in different market hubs.( Daily- Ahead/Real-Time) -Compare the results of forecasting model with the exact load volume; analyze the factors (weather data and historical usage) that affect the current customer usages.(on-peak/off-peak)

My Education

Take a look at my formal education

Master of Business Administration - MBA Gies College of Business - University of Illinois Urbana-Champaign | 2022

Master of Science - MS, AccountingGies College of Business - University of Illinois Urbana-Champaign | 2022

Master of Science, FinanceIllinois Institute of Technology | 2007

Bachelor of Arts, Political Science (International Relations; American Politics)University of Illinois at Chicago | 2005

Bachelor of Arts, Economics (Macroeconomics; Econometrics)University of Illinois at Chicago | 2005

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