Remote Portfolio Management Expert Cambridge

Role Overview

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.

• 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.

• 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.

• CFA (Level I/II/III)
• CAIA
• MBA in Finance

• Work on the cutting edge of AI and finance.
• Fully remote and adaptable work environment.
• Competitive hourly compensation of ~$100+/hour depending on experience.

• Commitment:
  Flexible, 10–30 hrs/week.
• Duration: ~1 month, with the possibility of extension based on performance and project needs.