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- Tasks: Evaluate and train AI models in capital markets, focusing on securities pricing and market dynamics.
- Company: Join Turing, a leading research accelerator for frontier AI labs based in San Francisco.
- Benefits: Enjoy competitive pay of $100+/hour, fully remote work, and flexible hours.
- Other info: Flexible commitment of 10–30 hours/week, with potential for extension based on performance.
- Why this job: Shape the future of AI in finance while solving complex capital market problems.
- Qualifications: 2+ years in Capital Markets with strong knowledge of securities and pricing mechanisms.
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 specialize 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 Capital Markets experts to work with our researchers to improve the performance of AI models. You will apply your deep understanding of equity and debt issuance, securities structuring, market microstructure, and pricing dynamics to evaluate and train AI systems. If you enjoy solving complex problems in capital markets 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 capital markets topics such as securities pricing, IPO structuring, syndication processes, and fixed income analytics.
- Create rubrics to assess model capabilities on tasks like bond valuation, yield curve analysis, derivatives pricing, and market risk assessment.
- Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.
Requirements:
- 2+ years of experience in Capital Markets (e.g., DCM, ECM, structured products, sales & trading desks, or market-making).
- Strong grasp of securities markets, pricing mechanisms, issuance processes, credit analysis, and market microstructure.
- Excellent English written communication.
Bonuses (Not at All Necessary): CFA (Level I/II/III), FRM, 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.
Remote Capital Market Specialist ($100/hr) - 75399 in Portsmouth employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Capital Market Specialist ($100/hr) - 75399 in Portsmouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the capital markets space and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals or insider info about openings that aren't even advertised yet.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your expertise in capital markets. Join relevant groups and engage with posts to get noticed by recruiters and industry leaders.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of securities pricing, IPO structuring, and market microstructure. Practise answering common interview questions and think about how your experience aligns with Turing's mission in AI and finance.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, completing your profile promptly after applying shows you're keen and ready to jump into the role.
We think you need these skills to ace Remote Capital Market Specialist ($100/hr) - 75399 in Portsmouth
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your experience in capital markets. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Skills: Don’t just list your qualifications; explain how your skills in securities pricing and market microstructure can contribute to our AI models. We want to see how you can make an impact!
Keep It Clear and Concise: We appreciate clarity! Make your application easy to read by keeping it concise and to the point. Avoid jargon unless it's relevant to the role.
Apply Through Our Website: For the best chance of success, apply directly through our website. This helps us keep track of your application and ensures you get all the updates promptly.
How to prepare for a job interview at Turing
✨Know Your Capital Markets Inside Out
Make sure you brush up on your knowledge of equity and debt issuance, securities structuring, and market microstructure. Be ready to discuss specific examples from your experience that demonstrate your expertise in these areas.
✨Showcase Your Problem-Solving Skills
Prepare to tackle complex problems related to capital markets during the interview. Think of scenarios where you've successfully solved similar issues and be ready to explain your thought process and the outcomes.
✨Communicate Clearly and Confidently
Since excellent written communication is a requirement, practice articulating your thoughts clearly. You might even want to prepare a few key points or questions in advance to ensure you convey your ideas effectively.
✨Collaborate and Engage
Highlight your ability to work with AI researchers and fellow finance experts. Be prepared to discuss how you would approach collaboration and what strategies you would use to shape training methods and evaluation strategies.