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For Companies At a Glance
- Tasks: Evaluate AI models in finance and collaborate with experts to enhance performance.
- Company: Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible remote work, competitive pay of ~$100+/hour, and dynamic projects.
- 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.
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 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 Warrington employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Quantitative Analyst (Finance) - 75403 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. Don’t be shy; we all love a good conversation!
✨Tip Number 2
Prepare for those interviews! Brush up on your quantitative finance knowledge and be ready to discuss your past projects. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 3
Showcase your skills! Create a portfolio or GitHub repository with examples of your work in quantitative modelling or statistical analysis. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll get updates directly from us about your application status. Let’s get you that job!
We think you need these skills to ace Remote Quantitative Analyst (Finance) - 75403 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 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 experience with stochastic modelling or derivatives pricing, make sure to include those details. We want to see your expertise in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly. Plus, it shows you’re serious about joining our team!
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 in simple terms to demonstrate your ability to communicate with non-experts.
✨Collaborate and Connect
Highlight your experience working with teams, especially in collaborative environments. Turing values teamwork, so be prepared to discuss how you've worked with others to shape training methods or evaluation strategies in your previous roles.