Walter Uche

Managed multi-asset portfolios, generating alpha through strategic allocation across equities, options, leveraged ETFs, and fixed income instruments, consistently outperforming benchmarks by 10% annualized. Implemented quantitative risk assessment frameworks using Python and Excel, employing Monte Carlo simulations and VaR models to evaluate portfolio risk and optimize asset allocation.

Led the alternative investments division, overseeing a $1M+ portfolio across diverse vehicles including commodities, foreign equities, and cryptocurrencies, generating alpha through rigorous quantitative analysis and market timing strategies. Collaborated with key counterparties to execute high-volume trades and conducted advanced risk assessment using Monte Carlo simulations and VaR models.

Executed sophisticated technical analysis utilizing Bollinger Bands, MACD, RSI, and Fibonacci retracement patterns to identify critical support/resistance levels across the LME base metals complex. Developed proprietary Bloomberg-based algorithms for forecasting metals price volatility and implemented dynamic hedging strategies using futures, options collars, and zero-cost structures.

Led the execution of diverse projects including Bash scripting in C and an Airbnb Clone with Flask-Python & HTML-JavaScript. Achieved 20% faster development with efficient project management, elevating client satisfaction by 15% and team morale by 10%.

Researched and analyzed securities of 100+ target companies listed on the NGX, delivering data-driven recommendations that led to an average portfolio return of 45% over 6 months. Analyzed risk profiles of 20 corporates, identifying optimal investment opportunities and improving credit risk ratings by 2 notches.

Executed 400+ trades on the NSE XGEN platform, managing a diverse portfolio of equities and derivatives, achieving an average monthly return of 8% and outperforming benchmark by 15%. Analyzed annual and quarterly reports of 150+ companies, identifying investment opportunities with 25% average returns.

Integrated data from 15 external databases and internal systems, creating sophisticated data models that reduced report generation time by 40% and improved data accuracy by 20%. Employed Power BI & SQL Server to create self-service portals for 50 marketing staff, enabling real-time data access.

Reduced data analysis time by 50% using data science tools and techniques in analyzing datasets and data structures.

Spearheaded fundraising of #4M towards the successful reconstruction of the faculty quadrangle. Prepared budgets and financial statements for the department.

Pursuing a Master of Science in Financial Engineering, expected to complete in 2026.

Passed the Chartered Financial Analyst Level 1 exam.

Completed a program in Software Engineering with a focus on Backend Blockchain Development.

Earned the Financial Modeling and Valuation Analyst (FMVA) certification.

Bachelor of Science in Botany with a focus on Environmental Botany and Palynology.