At a Glance
- Tasks: Research and develop trading models to improve strategy performance.
- Company: Headlands Tech, a leader in automated electronic trading.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Other info: Join a diverse team in a dynamic, innovative environment.
- Why this job: Make an impact by turning research into profitable trading strategies.
- Qualifications: Experience in statistics, machine learning, and software development.
The predicted salary is between 63000 - 77000 £ per year.
As a Quantitative Researcher at Headlands Tech, you'll join a team of quantitative researchers responsible for the firm's portfolio of automated electronic trading strategies. You'll research and develop predictive signals and trading models, iterating to drive measurable improvements in strategy PnL. Working closely with colleagues, you'll own ideas from hypothesis through production and be responsible for the results they generate.
Qualifications:
- Low ego; effective both collaboratively and autonomously
- Highly motivated and ambitious, with a focus on results
- Experience or demonstrable interest in systematic trading
- A track record of applying statistics and machine learning to noisy real-world data
- Solid software development skills, with practical experience in Java, C++, or Python
- A drive to turn research into profitable, scalable, and maintainable trading strategies
New grads should apply via the separate New Grad posting.
We are proud to be an equal opportunity workplace and to provide employees with a work environment free of discrimination and harassment. All employment decisions at Headlands Tech are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics. Headlands Tech will not tolerate discrimination or harassment based on any of these characteristics.
By completing this application you agree to our GDPR and Privacy Policies.
Quantitative Researcher in London employer: Headlands Technologies
At Headlands Tech, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Java Software Developers to thrive. With locations in vibrant cities like Amsterdam, Chicago, London, and New York, we offer competitive benefits, opportunities for professional growth, and a commitment to diversity and inclusion. Join us to be part of a dynamic team that values your contributions and supports your career development in the fast-paced world of technology and finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Headlands Technologies!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Researcher at Headlands Technologies.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Headlands Technologies.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Researcher at Headlands Technologies, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Researcher in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Headlands Technologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Headlands Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Headlands Technologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Headlands Technologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
