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 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.
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 Ashton-under-Lyne 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 while enjoying competitive compensation of approximately $100 per hour. With a strong focus on employee growth and collaboration, Turing provides opportunities to engage with top AI researchers and finance experts, making it an ideal place for those looking to make a meaningful impact in the evolving landscape of AI-driven finance.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Portfolio Management Expert ($100/hr) in Ashton-under-Lyne
✨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 that aren’t even advertised yet. Don’t be shy; we all love a good conversation!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past work in portfolio management. Use real examples to demonstrate your expertise in asset allocation and performance attribution. We want to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to portfolio management and AI. Practice articulating your thought process clearly. Remember, we’re looking for problem solvers who can think on their feet!
✨Tip Number 4
Apply through our website! It’s the quickest way to get noticed. Make sure your profile is complete and highlights your relevant experience. We’re excited to see what you bring to the table!
We think you need these skills to ace Remote Portfolio Management Expert ($100/hr) in Ashton-under-Lyne
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. Use specific examples to make your application stand out!
Keep It Clear and Concise:When writing your application, clarity is key! We appreciate well-structured responses that get straight to the point. Avoid jargon unless it's necessary, and remember, we’re looking for excellent English written communication.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your responses to the role at Turing. Mention how your skills align with evaluating AI models and improving their performance in portfolio management. We love seeing genuine interest!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. After applying, keep an eye on your email for a login link to complete your profile. This helps us move forward with your application quickly!
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 that demonstrate your problem-solving skills in portfolio management.
✨Showcase Your Communication Skills
Since excellent written communication is a requirement, practice articulating complex ideas clearly and concisely. You might be asked to explain your thought process or findings, so being able to communicate effectively 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 achieve common goals, as this will highlight your teamwork abilities.
