At a Glance
- Tasks: Apply statistical analysis to build predictive trading models and run them on high-performance systems.
- Company: Join a world-class research environment focused on data-driven trading strategies.
- Benefits: Enjoy performance-based bonuses and a competitive benefits package.
- Other info: Collaborate with top researchers and engineers in a dynamic, creative environment.
- Why this job: Shape the future of trading with innovative research and real-world impact.
- Qualifications: PhD student in a quantitative field with Python fluency and strong analytical skills.
The predicted salary is between 54000 - 66000 £ per year.
In this role you apply rigorous statistical analysis to large market datasets to build predictive trading models. You work with fellow researchers and engineers to research, develop, and test novel order execution and model training methods, and you run models on high-performance trading systems to monitor profitability. You will translate advanced academic research into real-world trading impact across multiple time horizons. This is a chance to shape data-driven trading strategies within a world-class research environment.
Pay / Benefits
- Build and maintain predictive trading models using statistical analysis
- Research, develop, and test new order execution and model training methods
- Run models live on high-performance trading infrastructure
- Analyze daily performance to sustain profitability
- Collaborate with other Algorithm Developers and Software Engineers
Key requirements
- Full-time PhD student in a quantitative discipline
- Fluency in Python
- Experience with statistical analysis, numerical programming, or machine learning in Python Pandas/Numpy, R, and/or MATLAB
- Strong analytical and problem-solving abilities
- Ability to work creatively and independently on long-term technical problems
Discretionary performance-based bonuses and competitive benefits package.
Algorithm Developer (Quant Research & Trading) - 2027 PhDs in Whitehall 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 Algorithm Developer (Quant Research & Trading) - 2027 PhDs in Whitehall
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We think you need these skills to ace Algorithm Developer (Quant Research & Trading) - 2027 PhDs in Whitehall
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!
✨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
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✨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.
