At a Glance
- Tasks: Build predictive models and develop trading strategies using complex datasets.
- Company: Join a collaborative team at a leading financial research firm.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Ideal for self-starters eager to drive innovation in finance.
- Why this job: Make a real impact in trading performance with your analytical skills.
- Qualifications: BSc, MSc, or PhD in a quantitative field; strong Python or C++ skills required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is seeking a seasoned Systematic Futures Researcher with expertise in alternative data to join their collaborative team.
Responsibilities of the Role:
- Build predictive models with large, complex datasets.
- Design, develop, and refine systematic trading strategies to optimise market reactions, order placement, and execution in order to maximise trading performance.
- Utilise modelling, machine learning, and statistical techniques to extract insights from data and translate them into trading edge.
Requirements of the Role:
- BSc, MSc, or PhD in a quantitative or technical discipline (Mathematics, Physics, Computer Science, Engineering or similar).
- Strong analytical and mathematical skills with a demonstrable track record of applying them to real trading problems.
- Proficient in Python, C++, or equivalent.
- A collaborative team player with experience working across research and development functions.
- A self-starter who identifies opportunities and takes initiative to drive impact.
Senior Quantitative Researcher employer: Qenexus
As a leading global quantitative trading firm, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel. With access to cutting-edge technology and significant resources, our Derivatives Traders and Quantitative Researchers are positioned at the forefront of the industry, benefiting from collaborative teamwork and ample opportunities for professional growth. Join us in a stimulating environment where your contributions directly shape the future of trading systems and execution models.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and trading strategies. This gives you a chance to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, C++, and any machine learning techniques you've used. Confidence is key!
✨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 Senior Quantitative Researcher
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your analytical and mathematical skills in your application. We want to see how you've applied these skills to real trading problems, so don’t hold back on sharing specific examples!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention your experience with predictive models and systematic trading strategies, as well as your proficiency in Python or C++. This will help us see how you fit into our team.
Be a Team Player:Since we value collaboration, it’s important to showcase your experience working in teams. Share instances where you’ve worked across research and development functions, and how you contributed to the team's success.
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 you don’t miss out on any important updates from us!
How to prepare for a job interview at Qenexus
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you’ll be working with. Brush up on your experience with alternative data and be ready to discuss how you've used it to build predictive models in the past.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python, C++, or any relevant programming languages. You might be asked to solve a coding problem or explain your approach to developing systematic trading strategies.
✨Highlight Your Collaborative Spirit
Since this role requires teamwork, think of examples where you’ve successfully collaborated with others. Be ready to share how you’ve worked across research and development functions to drive impactful results.
✨Prepare for Problem-Solving Questions
Expect questions that test your analytical and mathematical skills. Practice explaining your thought process when tackling real trading problems, as this will showcase your ability to extract insights and translate them into a trading edge.
