Professional Experience
Professional Experience
I am a Quantitative Analytics Specialist at Wells Fargo with expertise in risk modeling, derivatives pricing, and financial analytics. My work focuses on developing sophisticated analytical solutions that bridge advanced computational methods with practical business applications.
Technology Stack & Business Applications
🐍 Core Development & Architecture
Architected comprehensive Python market risk analytical package, reducing analysis turnaround from weeks to days. Led development of C++ pricing models for Natural Gas storage contracts.
📊 Data Science & Machine Learning
Conducted time-series analysis on VaR model P&L data for forecasting and scenario analysis. Led cross-functional teams processing multi-year historical portfolio data.
📈 Visualization & User Interfaces
Pioneered interactive dashboard project using Dash and Bootstrap, democratizing access to complex analytical models for non-technical stakeholders across trading and risk teams.
🏦 Financial Risk & Regulatory Technology
Designed and developed major market risk modules serving trading, risk, and capital teams. Automated multi-day KPI monitoring workflows for BAU and regulatory models.
🛠️ Development & Infrastructure Tools
Extensive experience with production deployment, code reviews, and training sessions for quantitative analysts and external stakeholders.
👥 Leadership & Process Management
Led teams of 5+ analysts and consultants on Equity Risk PnL projects. Present quarterly analytics to senior management and deliver cross-business line support.
Current Role
Quantitative Analyst, Assistant Vice President
Wells Fargo, Charlotte, NC May 2022 to Present
Risk Quantitative Analyst - Equity Market Risk Analytics
Market Risk Group
Risk Analytics Framework Development
- Core Infrastructure: Architected and served as core developer for a comprehensive Python market risk analytical package, reducing analysis turnaround time from weeks to days
- Code Leadership: Led code reviews and training sessions for incoming quantitative analysts and external stakeholders
- Regulatory Compliance: Designed and developed major market risk modules for PnL & sensitivity analysis, FRTB SA, and ISDA SIMM frameworks, serving trading, risk, and capital teams
- User Interface Innovation: Initiated interactive dashboard project using Dash and Bootstrap, democratizing access to complex analytical models for non-technical stakeholders
Equity Products Risk Management & Research
- Team Leadership: Led cross-functional team of 5 (junior quants and external consultants) on Equity Risk PnL projects, processing portfolio-level data across multi-year historical periods
- Methodology Design: Designed end-to-end analytical processes with robust data validation, benchmarking, and impact assessment
- Predictive Analytics: Conducted time-series analysis on VaR model P&L data using Prophet for forecasting and hypothetical scenario analysis
- Production Implementation: Collaborated with IT partners for scalable production deployment
Process Automation & KPI Analytics
- Automation Leadership: Pioneered automation initiatives that transformed multi-day manual KPI monitoring processes into same-day automated workflows for BAU and ISDA SIMM models
- Executive Reporting: Present quarterly analytics to senior management and deliver analytical support across business lines
- Model Enhancement: Conduct ongoing risk model testing, validation, and enhancement in partnership with validation teams
Front-Office Quantitative Analyst - Commodities Group
Model Development & Pricing
- Derivatives Pricing: Developed in-house C++ pricing model for intrinsic value of Natural Gas storage contracts
- Documentation & Validation: Prepared comprehensive technical documentation, validation materials, and executive presentations
Technical Skills Deep Dive
I have developed expertise across multiple programming languages and technologies through both academic research and industry applications:
Programming Languages
8 languagesDevelopment Languages
Utility & Scripting
ML/Data Science
12+ frameworksCore Libraries
Specialized Tools
Applications
Visualization & Interface
7 toolsInteractive Dashboards
Analysis & Research
UI Development
Financial Technology
8 specializationsRisk Analytics
Derivatives & Pricing
Data Processing
Supporting Tools
12+ toolsDevelopment Environment
Business Tools
Infrastructure
Specialized Skills
6 competenciesLeadership & Management
Process & Communication
Professional Development
Industry Transition
Successfully transitioned from academic research to quantitative finance, leveraging transferable skills in:
- Complex problem solving and analytical thinking
- Advanced mathematical modeling and statistical analysis
- Programming and computational efficiency optimization
- Research methodology and data validation
- Cross-functional communication of technical concepts
Continuous Learning
- Financial Markets: Options pricing, risk management, regulatory frameworks
- Industry Tools: Bloomberg Terminal, Reuters, financial data APIs
- Professional Development: Ongoing training in financial technology and regulatory compliance
This experience demonstrates the successful application of advanced computational and analytical skills to solve complex financial challenges, with a focus on developing practical solutions that drive business value.