Jonathan Hall Email & Phone Number

Buffalo, New York, Us

• Built a charge off prediction model using Markov Chains allowing the business to get a twelve and twenty-four month prediction on demand. • After inheriting the credit-card product, an xgBoost model was created to predict charge-offs - creating efficiency by knocking down prediction run time from eight hours to twenty minutes• Created Monte Carlo simulations for models I personally created to allow business partners to have additional information on the predictions they were being provided• Perform model management / maintenance tasks for three different vendor models while also creating / maintaining my own model creations• Found a bug in a production process that was limiting the number of machine-learned scores we were receiving from a vendor – created a comprehensive report + worked with business partners to go from ~38,000 to ~68,000 scores available + a better understanding on about $2.5 billion in exposure

Buffalo, New York, Us

• Created personalized automation tools via Python to better check data quality over multiple processes• Collaborated with non-technical analysts to create automated statistic checks (PSI, KS, AUROC) that were scrutinized by internal audit teams (Python)• Constructed Power Bi reports to supply pertinent information to interested business partners – including information about emerging risk in the market• Performed individual research on DEI data per banking region, utilizing PySpark / JupyterHub / Hue• Inherited multiple Python processed, made improvements, wrote documentation, and then presented to these enhancements to different management partners

Buffalo, New York, Us

• Harnessed SAS to analyze changes in ACH transactions over a multi-year period, including changes during the Covid-19 pandemic• Authored documentation pertaining to an unsupervised machine learning model that clustered customer complaints (Bayesian)• Produced PowerBI visuals to demonstrate data quality, data availability, and ACH transactions

Buffalo, New York, Us

• Automated a data quality checker via Python that combined multiple data sets and notified stakeholders when all relevant information was prepared• Constructed a month over month missing value (null value) variable checker to make sure the algorithm was being fed quality data• Introduced/presented Python’s SHAP package capabilities to upper management that capitalized on Shapley values to explain our machine learning model• Participated in lectures with C-level executives as well as other business leaders while attending networking events

Buffalo, Ny, Us

• Fixed asset team member; maintained our portfolio on Oracle’s PeopleSoft Finance-Manager • Constructed journal templates using advanced excel functions• Executed journal entries and reconciliations via Blackline accounting software• Led statistical entry and records management operation for all business units

Dublin 2, Ie

• Leveraged JIRA to perform Customer Experience Audits to better refine Moneycube’s website / customer experience• Prepared PPT decks on behalf of the CEO that were presented to prospective investors and business partners• Analyzed Google Analytics to determine which blog posts should be expanded on and which should be allowed to fade• Authored blog posts that were published on behalf of the company

Warren, Pa, Us

• Conducted organizational research to create spreadsheet that helped organize information due to the recent merger• Revised expiring commitment letters that were used to extend contracts with current customers• Gained industry expertise and exposure to all lending and product areas, multiple industries, and a variety of clientele segments• Met with senior management on the client side, credit side, and throughout the firm.

• Team member that delivered a high-quality product to the customer in a timely manner• Gained experience in customer relations

Master Of Science - Ms, Econometrics And Quantitative Economics

Bachelor Of Science - Bs, Economics (Quantitative Track)

Bsba, Finance, General

High School