At a Glance
- Tasks: Design and test algorithms while analysing data to enhance trading strategies.
- Company: Hudson River Trading, a leader in algorithmic trading.
- Benefits: Gain hands-on experience in a dynamic, global environment with mentorship.
- Other info: Collaborate with experts across London, New York, and Singapore.
- Why this job: Join a cutting-edge team and make an impact in the world of trading.
- Qualifications: Strong coding skills in Python, C++, or Java; quantitative mindset required.
The predicted salary is between 22500 - 27500 £ per year.
Hudson River Trading invites PhD students to join the Summer 2027 Internship in Algorithm Development within Quant Research & Trading. You will collaborate with experienced professionals to enhance trading strategies in a dynamic environment across London, New York, and Singapore.
The program emphasizes designing and testing algorithms, data analysis, and presenting findings to the team; strong coding skills in Python, C++, or Java and a quantitative mindset are required.
#J-18808-LjbffrPhD Algorithm Trading Intern — Quant Research employer: Hudson River Trading
As an Experienced Research Engineer at our company, you will be part of a dynamic and innovative team that thrives on collaboration and cutting-edge technology. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and mentorship, all while working in a fast-paced environment that encourages creativity and problem-solving. Located in a vibrant area, our company provides unique advantages such as access to industry-leading resources and a diverse range of projects across various asset classes, making it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Algorithm Trading Intern — Quant Research
✨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 Hudson River Trading!
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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 Hudson River Trading.
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We think you need these skills to ace PhD Algorithm Trading Intern — Quant Research
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 Hudson River Trading, 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 Hudson River Trading. 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 Hudson River Trading
✨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!
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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 Hudson River Trading!
✨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.
