At a Glance
- Tasks: Evaluate and improve AI models in portfolio management using your expertise.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Earn ~$100/hr, enjoy flexible remote work, and shape the future of finance.
- Other info: Flexible hours with potential for extension based on performance.
- Why this job: Make an impact in AI and finance without needing prior AI experience.
- 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) in Altrincham employer: Turing
Turing is an exceptional employer that offers a fully remote and flexible work environment, allowing you to work on the cutting edge of AI and finance from anywhere. With competitive hourly compensation and opportunities for collaboration with top AI researchers, Turing fosters a culture of innovation and growth, making it an ideal place for professionals looking to make a meaningful impact in the world of portfolio management.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Portfolio Management Expert ($100/hr) in Altrincham
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and AI sectors. A friendly chat 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 problem-solving skills.
✨Tip Number 3
Showcase your passion for AI in finance! When you get the chance, share your thoughts on how AI can transform portfolio management. This will not only demonstrate your enthusiasm but also your forward-thinking mindset, which is super appealing to employers.
✨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 right place at the right time. Complete your profile promptly after applying to speed up the process!
We think you need these skills to ace Remote Portfolio Management Expert ($100/hr) in Altrincham
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 2+ years of experience in portfolio management. We want to see how you've tackled asset allocation, risk management, and performance measurement in your previous roles.
Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect the skills and experiences that align with the role. We love seeing how you can connect your background to what we do at Turing.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate excellent written communication, so make every word count!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and get you into our system quickly. Plus, it makes it easier for us to review your profile!
How to prepare for a job interview at Turing
✨Know Your Portfolio Management Inside Out
Make sure you brush up on your knowledge of modern portfolio theory, asset allocation, and risk management frameworks. 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
Expect questions that dive into your experience with performance attribution and rebalancing strategies. Think of specific examples from your past work where you successfully applied these techniques, as this will demonstrate your practical knowledge.
✨Showcase Your Communication Skills
Since excellent written communication is a requirement, practice explaining complex portfolio management concepts in simple terms. You might be asked to create rubrics or assess model capabilities, so clarity is key!
✨Collaborate and Engage
Turing values collaboration, so be prepared to discuss how you've worked with others in the past. Share examples of how you’ve partnered with researchers or finance experts to solve problems, as this will highlight your teamwork skills.
