Newton Nganga

Newton Nganga

Markets professional with experience across trading, research, and analytical tool development.

Currently an Associate at Odeon Capital Group. Previously at J.P. Morgan, Citigroup, and Lombard Odier Investment Managers, with a focus on rates, market structure, and desk-ready analytics.

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Experience

Selected roles with the clearest view of my background in markets, trading, and analytical work.

Current

Associate

Odeon Capital Group

Prior

Interest Rates Trading Analyst

J.P. Morgan

  • Traded repo and agency discount note markets to fund inventory, manage collateral, and identify funding dislocations.
  • Built Python desk tools, including maturity ladders and relative value trackers, to support workflow and trading decisions.
  • Worked with engineering teams on internal platform features that improved market visibility and desk efficiency.
Prior

Interest Rates Trading Summer Analyst

J.P. Morgan

  • Structured delta-hedged and vega-weighted swaption portfolios around yield curve correlation views.
  • Built scenario analysis for exotics portfolios to explain historical P&L drivers and risk sensitivities.
  • Produced weekly trade ideas from historical analysis and internal research.
Prior

Sales and Trading Summer Analyst

Citigroup

  • Built and maintained a database of corporate eFX flow to flag volume changes and improve outreach targeting.
  • Analyzed FX exposures across 500 companies to frame hedging strategies and execution discussions.
  • Positioned algorithmic execution solutions around client trading activity and reporting needs.
Prior

Trader Assistant, Investor Relations Intern

Lombard Odier Investment Managers

  • Supported portfolio trading and liquidity analysis to improve execution decisions and market-readiness.
  • Helped synthesize capital markets information for IPO and follow-on analysis.
  • Contributed to investor reporting across the hedge fund platform.

Projects

Independent work focused on using data and code to evaluate market questions more systematically.

Stock Prediction and Options Strategy Tool

Developed a Python tool using Random Forest, LSTM, and Monte Carlo simulations to estimate price paths and frame strike selection for short put and call strategies.

Dynamic Ensemble Learning Model for Stock Prediction

Built a stock prediction model that blended ensemble methods and dynamically reweighted technical indicators based on live performance, reaching 66% directional accuracy in testing.

FX Market Analysis and Visualization Tool

Engineered a Python workflow using polygon.io data and matplotlib to study historical FX volatility and present market behavior in a clearer visual format.

Cryptocurrency Statistical Arbitrage Program

Built a Python program with CCXT to identify cross-exchange crypto mispricings and improved performance to surface opportunities more quickly.

Education and credentials

Education

  • Drexel University
  • Bachelor of Science in Finance
  • Graduated December 2023

Licenses and certifications

  • FINRA: Securities Industry Essentials (SIE)
  • FINRA: Series 7
  • FINRA: Series 63

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