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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: Fully remote work, flexible hours, and competitive pay of ~$100+/hour.
- Other info: Opportunity for career growth and 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 100000 - 130000 £ 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 Ashton-under-Lyne employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Quantitative Analyst (Finance) - 75403 in Ashton-under-Lyne
✨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. Whether it’s a GitHub repo or a personal website, let us see what you can do. It’s a great way to stand out from the crowd!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of stochastic calculus and derivatives pricing theory. We want you to feel confident when discussing your expertise with potential employers.
✨Tip Number 4
Apply through our website! It’s the quickest way to get noticed by Turing. Plus, you’ll have access to all the latest roles and updates. Let’s get you that remote Quantitative Analyst position!
We think you need these skills to ace Remote Quantitative Analyst (Finance) - 75403 in Ashton-under-Lyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in Quantitative Finance. Use keywords from the job description, like 'stochastic modelling' and 'derivatives pricing', 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: In your application, don’t just list your qualifications—show us how you’ve applied them in real-world scenarios. Use examples that demonstrate your expertise in statistical analysis and algorithmic strategies.
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 you into our system quickly. Plus, it makes tracking your application a breeze!
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 written communication is a must, practice explaining your ideas clearly and concisely. You might be asked to describe your approach to evaluating AI models, so make sure you can articulate your thoughts effectively.
✨Collaborate and Connect
Turing values collaboration, so be prepared to discuss how you've worked with others in the past. Share examples of how you’ve partnered with researchers or finance experts to develop strategies or improve processes, highlighting your teamwork skills.