Ryan Reynolds

Equity Research Analyst and portfolio manager with 10 years across investment analysis, capital markets, and applied AI. Managed $10M+ in multi-asset portfolios spanning equities, fixed income, and alternatives, and built the risk, reporting, and compliance systems behind them. Now designs, deploys, and evaluates large language models for financial use cases, building the evaluation and annotation pipelines that turn domain expertise into measurable model improvement.

Equally fluent in institutional investment reasoning and the technical side of model training: able to select complex finance problems, judge the quality of model output, and communicate clearly with engineering teams. A bias toward autonomous, fast execution under limited information.

AI Consultant — Financial Applications - Independent / Project-Based - Remote

(2024-01)

• Evaluate and grade large language model responses on complex finance tasks (forecasting, regulatory interpretation, portfolio optimisation), scoring accuracy, reasoning quality, and reliability before deployment.
• Design evaluation and annotation pipelines that test model behaviour on equities, fixed income, and risk datasets; achieved 20%+ accuracy gains on regulatory and risk benchmarks across 5+ client deployments.
• Select and structure high-difficulty finance problems for model training, label correct solutions, and document where model reasoning breaks down.
• Collaborate with data scientists and engineers to refine annotation tooling and instructions, translating between finance domain requirements and technical implementation.

Senior Portfolio Manager - Hampton Royal Group - Dallas, TX

(2018-09 - 2022-08)

• Managed $10M+ in high-net-worth portfolios across equities, fixed income, and alternatives; delivered 2%+ annual alpha through quantitative risk models and disciplined, data-driven allocation.
• Sourced, underwrote, and executed 15+ investment deals; ran due diligence and scenario analysis using Bloomberg, FactSet, and Refinitiv.
• Built the firm's risk, reporting, and compliance infrastructure from scratch, achieving 100% audit success.

Co-Founder & Product Lead — SPARK - Independent

(2024-01)

• Build and ship a production consumer platform end to end (React, Supabase, cloud), including a stack of LLM-based agents with custom evaluation, guardrails, and reliability monitoring.
• Operate with full autonomy under ambiguity: research, build, test, and iterate weekly on real usage data.

MSc - Banking & Finance - King's College London

MBA - Edinburgh Business School, Heriot-Watt University