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

5+ YEARS
Python C++ SQL Fortran JavaScript

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

4+ YEARS
Pandas NumPy Prophet scikit-learn LightGBM PyTorch

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

3+ YEARS
Dash Plotly Matplotlib Seaborn HTML/CSS

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

2+ YEARS
FRTB SA ISDA SIMM VaR Modeling Derivatives Pricing PnL Analysis

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

6+ YEARS
Linux Git Bash/Zsh Emacs LaTeX Docker

Extensive experience with production deployment, code reviews, and training sessions for quantitative analysts and external stakeholders.

👥 Leadership & Process Management

3+ YEARS
Team Leadership Process Automation Executive Communication Knowledge Transfer

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 languages
+
Development Languages
Python Expert 5+ years production, comprehensive analytical packages
C++ Expert Financial modeling, derivatives pricing models
Fortran Proficient Academic research, high-performance computing
Utility & Scripting
SQL Expert Complex financial data queries, portfolio analysis
JavaScript Proficient Interactive dashboards, web interfaces
Bash/Zsh Proficient Shell automation, deployment scripts
Lua Learning Configuration, scripting automation
Emacs-Lisp Learning Development environment customization
🤖

ML/Data Science

12+ frameworks
+
Core Libraries
Pandas Expert Portfolio-level data processing, time series analysis
NumPy Expert Mathematical computations, numerical analysis
scikit-learn Proficient Risk modeling applications, classification
PyTorch Learning Deep learning research applications
TensorFlow Learning Neural network experimentation
Specialized Tools
Prophet Expert Time series forecasting, VaR model P&L analysis
statsmodels Proficient Statistical modeling, hypothesis testing
LightGBM Proficient Financial data modeling, feature engineering
Applications
Risk Modeling Expert Market risk analytics, regulatory compliance
Predictive Analytics Expert Forecasting models, scenario analysis
Regulatory Compliance Expert FRTB SA, ISDA SIMM framework implementation
📊

Visualization & Interface

7 tools
+
Interactive Dashboards
Dash Expert Wells Fargo stakeholder tools, democratizing analytics access
Plotly Expert Interactive financial data visualization
Analysis & Research
Matplotlib Proficient Statistical analysis plots, publication graphics
Seaborn Proficient Statistical data visualization, exploratory analysis
UI Development
HTML/CSS Proficient Dashboard styling, responsive design
Bootstrap Proficient UI framework for analytical dashboards
PyQt5 Learning Desktop application development
🏦

Financial Technology

8 specializations
+
Risk Analytics
FRTB SA Expert Fundamental Review of Trading Book implementation
ISDA SIMM Expert Initial Margin Model framework development
Market Risk Frameworks Expert Comprehensive risk measurement and management
Derivatives & Pricing
C++ Pricing Models Expert Natural Gas storage contracts, commodities
Options Pricing Proficient Quantitative model development and validation
Data Processing
Multi-year Portfolio Analysis Expert Historical data processing, cross-team leadership
Regulatory Reporting Expert Automated KPI monitoring, compliance frameworks
PnL Attribution Expert Profit & Loss analysis, sensitivity modeling
🛠️

Supporting Tools

12+ tools
+
Development Environment
Linux Expert Primary development environment, system administration
Emacs Expert Code editor, development workflow optimization
Git Expert Version control, collaboration, code reviews
Shell Scripting Proficient Automation, deployment, system integration
Business Tools
Excel Proficient Financial modeling, stakeholder reporting
LaTeX Expert Technical documentation, academic publications
PowerPoint Proficient Executive presentations, stakeholder communication
Infrastructure
Code Review Expert Quality assurance, training junior analysts
Training & Mentoring Expert Knowledge transfer, stakeholder education
Production Deployment Proficient Scalable system deployment, IT collaboration
🎯

Specialized Skills

6 competencies
+
Leadership & Management
Team Leadership Expert Led teams of 3-5 analysts and external consultants
Cross-functional Collaboration Expert Trading, risk, capital teams coordination
Project Management Proficient Equity Risk PnL projects, timeline management
Process & Communication
Process Automation Expert Transformed multi-day manual workflows to same-day automation
Executive Reporting Expert Quarterly analytics to senior management
Technical Documentation Expert Model validation, stakeholder 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.