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 growth opportunities.
- Other info: Work on cutting-edge projects with a dynamic team.
- 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.
The predicted salary is between 80000 - 120000 £ per year.
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 Warrington 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 to collaborate with top AI researchers, Turing fosters a culture of innovation and growth, making it an ideal place for professionals eager to make a meaningful impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Quantitative Analyst (Finance) in Warrington
✨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.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative analysis projects. This will give potential employers a taste of what you can do, especially in areas like stochastic modelling and risk quantification.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with statistical modelling and derivatives pricing theory, as these are key in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re actively hiring, so get your profile completed ASAP!
We think you need these skills to ace Remote Quantitative Analyst (Finance) in Warrington
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! Include specific examples of projects or tasks where you applied your quantitative skills. We love seeing real-world applications!
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 the ball rolling. Plus, it makes tracking your application super easy!
How to prepare for a job interview at Turing
✨Know Your Quantitative Stuff
Brush up on your knowledge of stochastic calculus, statistical modelling, and derivatives pricing theory. Be ready to discuss how you've applied these concepts in past roles, as this will show your expertise and confidence in the field.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some complex quantitative problems during the interview. Think about examples from your experience where you successfully solved challenging issues, especially those related to financial engineering or risk modelling.
✨Communicate Clearly
Since excellent English written communication is a requirement, practice articulating your thoughts clearly and concisely. You might even want to explain some technical concepts to a friend to ensure you can simplify complex ideas for different audiences.
✨Collaborate and Connect
Highlight your ability to work with AI researchers and fellow finance experts. Share examples of past collaborations and how they led to successful outcomes. This will demonstrate that you're not just a numbers person but also a team player who can contribute to shaping training methods and evaluation strategies.
