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- Tasks: Evaluate and improve AI models in portfolio management using your expertise.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Earn ~$100/hr, enjoy flexible remote work, and shape the future of AI.
- Other info: Flexible hours, potential for extension, and collaborative environment.
- Why this job: Make an impact in finance while working with cutting-edge AI technology.
- Qualifications: 2+ years in Portfolio Management and strong communication skills required.
The predicted salary is between 100 - 100 £ per hour.
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialise in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
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.
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 optimisation.
- 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.
Requirements:
- 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.
Bonuses (Not at All Necessary): CFA (Level I/II/III), CAIA, or MBA in Finance.
Perks of Freelancing with Turing:
- Work on the cutting edge of AI and finance.
- Fully remote and flexible work environment.
- Competitive hourly compensation of ~$100+/hour depending on experience.
Offer Details:
- Commitment: Flexible, 10–30 hrs/week.
- Duration: ~1 month, with the possibility of extension based on performance and project needs.
After applying, you’ll receive a login link by email. Please complete your profile promptly so we can proceed with your application. We’re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.
Remote Portfolio Management Expert ($100/hr) - 75400 in Portsmouth employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Portfolio Management Expert ($100/hr) - 75400 in Portsmouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and AI sectors. A simple message can lead to opportunities you might not find on job boards. Plus, don’t forget to leverage platforms like LinkedIn to showcase your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on portfolio management concepts. Be ready to discuss your experience with asset allocation and risk management. We want to see how you can apply your knowledge to improve AI models, so think of examples that highlight your skills.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be prepared to tackle hypothetical scenarios related to portfolio management. This is your chance to demonstrate how you approach complex challenges and contribute to shaping the future of AI in finance.
✨Tip Number 4
Don’t just apply anywhere; apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re actively hiring, so you’ll be in the loop for any updates or opportunities that come up.
We think you need these skills to ace Remote Portfolio Management Expert ($100/hr) - 75400 in Portsmouth
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your experience in portfolio management. Use keywords from the job description to show that you understand what Turing is looking for.
Showcase Your Skills: Don’t just list your qualifications; explain how your skills in asset allocation and performance attribution can contribute to improving AI models. We want to see your thought process!
Keep It Clear and Concise: Your written communication should be top-notch! Keep your application clear and to the point, avoiding jargon unless it’s relevant. We appreciate clarity as much as complexity.
Apply Through Our Website: Remember to apply through our website for a smoother process. Once you submit, keep an eye on your email for a login link to complete your profile – it’s all part of getting you on board with us!
How to prepare for a job interview at Turing
✨Know Your Portfolio Management Inside Out
Make sure you brush up on your knowledge of asset allocation, risk management frameworks, and performance measurement. Be ready to discuss how these concepts apply to AI models, as this will show your expertise and relevance to the role.
✨Prepare for Technical Questions
Even though prior AI experience isn't required, it’s a good idea to familiarise yourself with basic AI concepts and how they relate to portfolio management. Think about how you can leverage your finance skills to evaluate AI systems effectively.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've solved complex problems in portfolio management. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Communicate Clearly and Confidently
Since excellent written communication is a requirement, practice articulating your thoughts clearly. During the interview, ensure you explain your ideas in a straightforward manner, especially when discussing technical topics related to portfolio management.