Machine Learning Quant - Start Up
Machine Learning Quant - Start Up

Machine Learning Quant - Start Up

Full-Time 90000 - 210000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop cutting-edge AI/ML models for proprietary trading systems and explore innovative trading ideas.
  • Company: Exciting stealth start-up hedge fund led by top-tier experts in the field.
  • Benefits: Competitive salary, performance bonuses, and opportunities for internal fund investment.
  • Why this job: Join a pioneering team and shape the future of trading with advanced technology.
  • Qualifications: Experience in training ML models and publications in top-tier ML conferences or journals.
  • Other info: Dynamic work environment in Central London with potential for significant career growth.

The predicted salary is between 90000 - 210000 £ per year.

£150,000 GBP performance bonus internal fund investment

Location: Central London, Greater London - United Kingdom

Type: Permanent

My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan.

Description

  • Expected to contribute to production grade proprietary trading systems
  • Deploy state of the art AI/ML
  • Develop novel AI/ML models
  • Experiment with and develop novel trading ideas
  • Explore new datasets

Required

  • Experience training ML models end to end (from data processing to fine tuning)
  • Experience training across transformers / generative models / RL
  • Publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals
  • Top tier institutions / industry experiences

Positives but not requirement

  • PhD

Machine Learning Quant - Start Up employer: Anson McCade

Join a pioneering start-up hedge fund in Central London, where innovation meets opportunity. With a competitive salary of £150,000 and performance bonuses, this role offers a unique chance to work alongside leading experts in the field of machine learning and quantitative finance. The collaborative work culture fosters creativity and growth, providing employees with the resources and support needed to develop cutting-edge AI/ML models and contribute to groundbreaking trading strategies.
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Contact Detail:

Anson McCade Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Quant - Start Up

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those connected to the start-up scene. Attend meetups or conferences related to machine learning and quant finance; you never know who might be looking for someone just like you!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your ML projects, especially those involving trading systems or novel AI models. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for technical interviews by brushing up on your ML knowledge and coding skills. Practice explaining your past projects and how they relate to the role. We want to see your thought process and problem-solving abilities!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Machine Learning Quant - Start Up

Machine Learning
AI/ML Model Development
End-to-End ML Model Training
Data Processing
Fine Tuning
Transformers
Generative Models
Reinforcement Learning (RL)
Research Publications
Top Tier ML Conferences
Data Exploration
Novel Trading Ideas

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Machine Learning Quant role. Highlight your experience with ML models, especially any end-to-end training you've done. We want to see how your skills align with what we're looking for!

Showcase Your Publications: If you've got publications in top-tier ML conferences or journals, flaunt them! This is a great way to demonstrate your expertise and commitment to the field. We love seeing candidates who are actively contributing to the ML community.

Craft a Compelling Cover Letter: Your cover letter should tell us why you're excited about this role and how you can contribute to our start-up. Be genuine and let your passion for AI/ML shine through. We appreciate a personal touch!

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 ensures it gets into the right hands. Plus, it shows you're keen on joining our team!

How to prepare for a job interview at Anson McCade

✨Know Your ML Models Inside Out

Make sure you can discuss your experience with training ML models in detail. Be prepared to explain the end-to-end process, from data processing to fine-tuning. Highlight any specific projects or publications that showcase your expertise in transformers, generative models, or reinforcement learning.

✨Showcase Your Problem-Solving Skills

This role is all about developing novel trading ideas and experimenting with new datasets. Think of examples where you've tackled complex problems using AI/ML. Be ready to walk through your thought process and how you arrived at your solutions.

✨Research the Company and Its Vision

Since this is a stealth start-up, do some digging into their mission and the founders' backgrounds. Understanding their vision will help you align your answers with what they’re looking for and show that you're genuinely interested in being part of their journey.

✨Prepare Questions That Matter

Interviews are a two-way street, so come armed with insightful questions. Ask about their approach to deploying AI/ML in trading systems or how they envision the future of their proprietary models. This shows your enthusiasm and helps you gauge if the company is the right fit for you.

Machine Learning Quant - Start Up
Anson McCade

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