At a Glance
- Tasks: Evaluate AI models in finance and collaborate with experts to enhance performance.
- Company: Leading AI research accelerator based in San Francisco.
- Benefits: Flexible remote work, competitive pay of ~$100+/hour, and a dynamic work environment.
- Other info: Opportunity for flexible hours and potential project extension based on performance.
- Why this job: Shape the future of AI in finance while solving complex quantitative problems.
- Qualifications: 2+ years in Quantitative Finance and strong statistical modelling 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 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 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 modelling, 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) in Portsmouth employer: Turing
Turing is an exceptional employer for Quantitative Analysts, offering a fully remote and flexible work environment that allows you to work on the cutting edge of AI and finance. 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 their field.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Quantitative Analyst (Finance) 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 gives potential employers a taste of what you can do, and we all know actions speak louder than words.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common quantitative finance questions and scenarios. We want you to feel confident and ready to impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team at Turing. Let’s make this happen together!
We think you need these skills to ace Remote Quantitative Analyst (Finance) 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 to show that you’re a perfect fit for the role. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for finance and AI, and explain how your background makes you the ideal candidate. Keep it concise but engaging – we love a good story!
Showcase Your Skills:Don’t just list your qualifications; demonstrate them! If you’ve worked on relevant projects or have specific achievements, mention them. We’re keen to see how you’ve applied your quantitative skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll get a login link to complete your profile, which helps us move forward quickly!
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 not only help you in the interview but also demonstrate your ability to collaborate 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 relate to quantitative finance. This will help you engage in meaningful discussions about improving AI models and show your enthusiasm for the role.
