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- Tasks: Conduct cutting-edge research in machine learning and develop predictive models for trading.
- Company: Leading global market-maker with a focus on innovation and collaboration.
- Benefits: Competitive salary, discretionary bonus, and opportunities for professional growth.
- Other info: Work in a fast-paced environment with offices in major cities like NYC and London.
- Why this job: Join a dynamic team where your research directly impacts live trading performance.
- Qualifications: PhD or Post-Doctoral experience in quantitative research and strong technical skills.
£350000 GBP Discretionary Bonus Onsite WORKING Location: Offices also in NYC/Miami/Chicago, Central London, Greater London - United Kingdom
Type: Permanent
Role Overview: My client is a leading global market-maker who are searching for exceptional ML Quantitative Researchers to join high-impact teams focused on systematic trading, predictive modelling, and machine learning research. These roles offer the opportunity to work in fast-paced, collaborative environments where research is directly connected to live PnL. Teams vary in focus - from FX-driven research groups to multi-asset portfolio construction and optimization, but all are looking for individuals with Post-Doctoral Research, technical depth, and a passion for markets.
Key Responsibilities as a Quant Researcher:
- Conduct statistical and machine learning research on large, high-dimensional datasets (including alternative data)
- Develop and improve predictive models, trading signals, and systematic strategies
- Backtest and deploy models in live trading environments
- Contribute to portfolio optimization and risk modeling
- Collaborate with engineers and traders to refine models and drive performance
PhD/Post-Doctoral Researcher ML Quantitative Researcher employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD/Post-Doctoral Researcher ML Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry through LinkedIn or relevant conferences. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects and any machine learning models you've developed. This gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common quantitative research questions and coding challenges to impress your interviewers.
✨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 are proactive about their job search.
We think you need these skills to ace PhD/Post-Doctoral Researcher ML Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in machine learning and quantitative research. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML and quantitative research. We love seeing enthusiasm, so let us know what excites you about the role and our company.
Showcase Your Technical Skills: Don’t forget to mention your technical skills! Whether it’s programming languages, statistical tools, or machine learning frameworks, we want to know what you bring to the table. Be specific and give examples where possible.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Stuff
Make sure you brush up on your machine learning and quantitative research knowledge. Be ready to discuss your previous work, especially any projects involving predictive modelling or statistical analysis. This is your chance to showcase your technical depth!
✨Understand the Market
Familiarise yourself with current trends in systematic trading and how they relate to the role. Being able to discuss recent developments in FX-driven research or multi-asset portfolio construction will show that you're not just a researcher, but someone who understands the market dynamics.
✨Prepare for Technical Questions
Expect some challenging technical questions during the interview. Practice explaining your thought process when developing models or backtesting strategies. Use clear examples from your past experiences to illustrate your problem-solving skills.
✨Show Your Collaborative Spirit
This role involves working closely with engineers and traders, so be prepared to discuss how you've collaborated in the past. Highlight any teamwork experiences where you contributed to refining models or driving performance, as this will demonstrate your ability to thrive in a fast-paced environment.