> Markdown version of [/jobs/ext/3420613-remote-portfolio-management-expert](https://www.wearedevelopers.com/jobs/ext/3420613-remote-portfolio-management-expert). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Portfolio Management Expert - **Company:** Cornerstone Barricades - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $208,000.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Factor Analysis, Large Language Models - **Published:** September 9, 2026 - **Apply:** https://turing.betterteam.com/remote-portfolio-management-expert-16/apply ## About the Role * 2+ years of experience in Portfolio Management (e.g., mutual funds, hedge funds, pension funds, endowments, or wealth management). * Strong grasp of modern portfolio theory, asset allocation, risk management frameworks, and investment performance measurement. * Excellent English written communication. ## Description Turing is looking for Portfolio Management experts to work with our researchers to improve the performance of AI models. You will leverage your expertise in asset allocation, portfolio construction, rebalancing strategies, and performance attribution to evaluate and train AI systems. If you enjoy solving complex problems in portfolio management and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: * Evaluate LLM models on portfolio management topics such as asset allocation frameworks, risk-adjusted return analysis, and portfolio optimization. * Create rubrics to assess model capabilities on tasks like performance attribution, benchmark comparison, factor analysis, and rebalancing decisions. * Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.