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- Tasks: Create innovative trading strategies using advanced statistical and machine learning methods.
- Company: Aargo, a leading firm in quantitative trading with a collaborative environment.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Why this job: Dive into exciting challenges and make a real impact in the financial markets.
- Qualifications: Bachelor's degree in a quantitative field and hands-on experience with data analysis.
- Other info: Join a dynamic team with exposure to cutting-edge technology and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Aargo is looking to add an outstanding Quantitative Researcher to one of our quantitative trading teams. Quantitative Researchers collaborate extensively with quantitative traders and quantitative developers to create and build novel systematic trading strategies. Our quantitative researchers leverage our state of the art research infrastructure to apply rigorous statistical and mathematical methods on a variety of data. They use cutting edge statistical, machine learning and deep learning algorithms to learn from the data and use this intelligence to predict the future market behaviour. The candidate can expect exposure to a wide range of interesting and challenging problems including alpha generation, portfolio construction, statistical modeling, machine learning, and deep learning.
Required Core Competency- Hands-on experience in applying statistical, machine learning and deep learning methods on noisy financial data for creating novel alpha signals
- Deep understanding of financial markets and market micro-structure
- Exceptional analytical and problem solving skills
- Expertise in using pandas, numpy, scikit-learn, statsmodels-tsa, TensorFlow, Keras, and Matplotlib libraries for data analysis
- Comfortable taking ownership of projects and responsibilities with minimum supervision
- At least a bachelor's degree in Computer Science, Mathematics, Statistics, Data Science or other quantitative discipline
- Experience in developing tools and libraries for market data analysis and back-testing
- Prior experience at a top tier hedge fund, proprietary trading house or investment
Quantitative Researcher in London employer: Aargo Trade
Contact Detail:
Aargo Trade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative research field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving statistical and machine learning methods. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. We recommend practicing coding challenges and discussing your thought process out loud to impress interviewers with your analytical skills.
✨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 Quantitative Researcher in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with statistical, machine learning, and deep learning methods. We want to see how you've tackled noisy financial data and created novel alpha signals in your previous work.
Know Your Stuff: Demonstrate your understanding of financial markets and market micro-structure. We’re looking for candidates who can speak the language of finance and show us they know what makes the market tick.
Be Project-Ready: We love candidates who take ownership! In your application, mention any projects where you’ve led the charge with minimal supervision. This shows us you’re ready to dive into our quantitative trading teams.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Aargo Trade
✨Know Your Algorithms
Brush up on your knowledge of statistical, machine learning, and deep learning algorithms. Be ready to discuss how you've applied these methods to noisy financial data in the past. Having specific examples at hand will show your practical experience and understanding.
✨Understand Financial Markets
Make sure you have a solid grasp of financial markets and market micro-structure. Familiarise yourself with current trends and challenges in the industry. This will not only help you answer questions but also demonstrate your genuine interest in the field.
✨Showcase Your Technical Skills
Be prepared to talk about your experience with libraries like pandas, numpy, and TensorFlow. You might even be asked to solve a problem on the spot, so practice coding challenges related to data analysis beforehand to boost your confidence.
✨Project Ownership Mindset
Highlight instances where you've taken ownership of projects with minimal supervision. Discuss how you approached challenges and what the outcomes were. This will illustrate your ability to work independently and contribute effectively to a team.
