At a Glance
- Tasks: Evaluate AI models in finance and collaborate with top researchers.
- Company: Join Turing, a leader in AI research and innovation.
- Benefits: Enjoy flexible remote work and competitive pay of ~$100+/hour.
- Other info: Flexible hours with potential for project extension.
- Why this job: Shape the future of AI in finance while solving complex problems.
- Qualifications: 2+ years in Quantitative Finance and strong analytical skills.
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 Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems 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 quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification.
- Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies.
- Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.
Requirements
- 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modelling).
- Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory.
- Excellent English written communication.
Bonuses (Not at All Necessary)
- CFA, FRM, CQF, Ph.D. in a quantitative field, 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 Quantitative Analyst (Finance) - 75403 in Portsmouth employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Quantitative Analyst (Finance) - 75403 in Portsmouth
✨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 quantitative analysis projects or any relevant work. This is your chance to shine and demonstrate what you can bring to the table. We want to see your best work!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common quantitative finance questions and think about how you’d approach real-world scenarios. We’re looking for thinkers who can tackle complex problems!
✨Tip Number 4
Apply through our website! It’s the quickest way to get noticed. Make sure your profile is complete and highlights your experience in quantitative finance. We’re excited to see what you’ve got!
We think you need these skills to ace Remote Quantitative Analyst (Finance) - 75403 in Portsmouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Quantitative Finance. Use keywords from the job description, like 'stochastic modelling' and 'statistical analysis', to show we’re on the same page.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and finance, and explain how your skills can help us improve AI models. Keep it concise but impactful!
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! If you’ve worked on relevant projects or have experience with specific tools, let us know. Real examples make a big difference.
Apply Through Our Website: We want to hear from you directly! Applying through our website ensures your application gets to the right people quickly. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Turing
✨Know Your Numbers
Brush up on your quantitative finance knowledge, especially stochastic calculus and derivatives pricing theory. Be ready to discuss specific models or strategies you've worked with, as this will show your expertise and confidence in the field.
✨Showcase Your Problem-Solving Skills
Prepare to tackle complex quantitative problems during the interview. Think of examples where you've successfully solved challenging issues in finance, and be ready to explain your thought process clearly and logically.
✨Communicate Clearly
Since excellent written communication is a requirement, practice explaining technical concepts in simple terms. This will help you convey your ideas effectively, especially when discussing your collaboration with AI researchers and fellow finance experts.
✨Familiarise Yourself with AI Concepts
Even if you don't have prior AI experience, it’s beneficial to understand basic AI principles and how they apply to finance. Research Turing's work and think about how your quantitative skills can enhance AI model performance in financial contexts.