Responsible for the documentation, maintenance, and monitoring of 11 quantitative/qualitative models spanning NLP, Fraud, AI, Machine Learning, customer lifetime value and customer experience inside digital channels. Collaborates with business partners to ensure the execution of model governance while effectively organizing work processes. In charge of creating and building KPIs and KRIs, as well as establishing tests to ensure executive management is up to date with operations running smoothly. Recruits, interviews, and mentors junior members of the team.• Liable for composing 50-200 page technical model documents for validation and model governance pass• Collaborates with internal and external regulators to address model risk findings and improve model performance• Recognized for building a JIRA and confluence framework for the team to track models, model risk findings, and deliverables

Assumed responsibility for the creation, maintenance, and monitoring of Treasury ALM repricing, deposit decay, prepayment, and LMM, balance sheet, and interest rate models. Continuously showcased in-depth industry knowledge and a strong initiative for creative problem-solving while performing quantitative analysis including behavioral data analysis, survey sampling, significance testing, and predictive modeling. Recognized for supporting the bank's interest rate and liquidity risk management. Charged with recruiting, onboarding, and mentoring junior quantitative analysts.• Rebuilt various pricing, prepayment, and regression models for BNPP, utilized by DFAST and CCAR regulatory reporting• Worked with validators and auditors to address recommendations within the models• Presented unique model-building theories, methodologies, and issues to the Modeling Committee and Technical Committee • Extensively worked within QRM on the current position and the enhancement of MR capabilities such as data feeds, ETL, portfolio segmentation, and structure

Supervised processes in the Consumer Lending division and compiled fraud-blocking strategies through active research of behavior trends utilizing SAS languages to navigate queries. Structured business proposals as an added asset for enhancing fraud detection and reducing financial risk. Reduced loss of efficiency and customer dissatisfaction by automating daily processes, thus preventing common errors. • Implemented rules derived from historical transaction data and large data sets to improve strategy models• Collaborated with management to create custom metrics for large-scale compromises that succinctly summarized current patterns and trends• Managed the reissue and suspend the process for compromised accounts • Contributed to written procedures that outlined an action plan for the next “big one”

Monitored and conducted in-depth analyses and assisted senior management by developing financial dashboards for expense reporting and risk analyses. Suggested and implemented solutions to meet the business strategies of the organization. Designed and elucidated reports and database queries on product pricing, customer channels, and portfolio segmentation to allow statistical and financial inputs for analyses.• Planned, overlooked, and assisted the senior management in implementing business requirements for delinquencies, foreclosures, charge-offs, and other metrics• Strategically conducted analyses of sales performance and trends and projections for the key business metrics • Supported and assessed credit requests for UHNW individuals and regulated the real estate transactions with lenders

Managed and implemented multiple strategies to achieve risk management objectives by simulating and analyzing net income under various scenarios. Closely collaborated with senior and executive management in analyzing business performance, economic trends, and risk within the organization’s balance sheet. Assisted, recorded, and conveyed modeling assumptions change process for internal tests.• Implemented daily processes to ensure that ALCO calculations-related issues were easily visible and addressed• Participated in and authored scripts for the transformation of the Wachovia data structure into a perceivable form in QRM

Assessed, analyzed, and provided feedback on the financial performance of the Treasury Management Sales, Implementation, Marketing, and HBS groups on a monthly and quarterly basis. Advised senior management and collaborated on the evaluation of P&L results relative to key business drivers.• Reformed and improved treasury management financials to reflect the combined Wells Fargo and Wachovia Treasury Management businesses and their contribution to corporate profitability• Executed and assembled merger-related reports, as well as ad hoc and forecasted combined structure budget within 200bps of the target• Administered co-ownership and financial responsibilities within Treasury Management and conducted accurate revenue recognition and financial roll-up

Administered and formulated robust reconciliation reports, month-end closing procedures, and review processes on the investment reports that showcased in-depth account analyses. Directly collaborated and assisted auditors to provide clarity and transparency to Wells Capital Management accounts.• Engaged in portfolio evaluation for 35 accounts totaling $2b in assets and delivered monthly financial statements • Facilitated training on complex financial instruments and accounting procedures for two accountants and implemented procedures for internal personnel development