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- Tasks: Build predictive models and run simulations using complex datasets.
- Company: Join a collaborative team at a leading research firm in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by turning research into production-ready code and improving tools.
- Qualifications: Strong foundation in statistics, Python skills, and familiarity with ML/AI methods.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
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.
- Run simulations to test hypotheses on a high-performance compute grid.
- Turn research into clean, production-ready code.
- Add safeguards: sanity checks, drift detection, anomaly monitoring.
- Improve their research platform and tooling so everyone can move faster.
Requirements of the Role:
- Strong foundation in probability, statistics, and linear algebra.
- Solid intuition for ML/AI methods.
- Strong Python skills; ability to read C++.
- Knowledge of algorithms, data structures, and performance optimization.
- Comfortable with Linux/Unix, Git, and modern dev practices (tests, CI/CD, containers).
- Clear communicators who take initiative.
For more info, please apply below or contact Laura at laura@qenexus.com.
Quantitative Researcher - London employer: Qenexus
Contact Detail:
Qenexus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - London
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and simulations. This is your chance to demonstrate your expertise in Python and ML/AI methods.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges to get comfortable with problem-solving under pressure.
✨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!
We think you need these skills to ace Quantitative Researcher - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with predictive models and alternative data. We want to see how your skills in Python and ML/AI methods align with what we're looking for!
Showcase Your Projects: Include any relevant projects where you've built clean, production-ready code or run simulations. This is your chance to show us your practical experience and problem-solving skills!
Communicate Clearly: Since we value clear communication, make sure your application reflects that. Use straightforward language and structure your thoughts logically to demonstrate your initiative and clarity.
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!
How to prepare for a job interview at Qenexus
✨Know Your Numbers
Brush up on your probability, statistics, and linear algebra. Be ready to discuss how these concepts apply to predictive modelling and simulations. Having concrete examples from your past work can really impress the interviewers.
✨Show Off Your Coding Skills
Make sure you’re comfortable with Python and can demonstrate your ability to write clean, production-ready code. You might be asked to solve a coding problem on the spot, so practice common algorithms and data structures beforehand.
✨Familiarise Yourself with Tools
Since the role involves improving research platforms and tooling, be prepared to discuss your experience with Linux/Unix, Git, and CI/CD practices. Highlight any projects where you’ve optimised performance or implemented new tools.
✨Communicate Clearly
As clear communication is key, practice explaining complex concepts in simple terms. Be ready to share how you’ve taken initiative in previous roles and how you collaborate with team members to achieve goals.