At a Glance
- Tasks: Conduct cutting-edge research in machine learning for finance and trading.
- Company: Stealth quantitative hedge fund with a focus on innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for advanced research.
- Other info: Ideal for recent graduates from top universities with strong internships.
- Why this job: Join a pioneering team and shape the future of finance with your research.
- Qualifications: Master’s degree in a quantitative field; PhD preferred; proficient in Python.
The predicted salary is between 70000 - 90000 £ per year.
Anson Mccade is recruiting Machine Learning Researchers for a hybrid role with a stealth quantitative hedge fund.
The team works across mid-frequency trading in equities, crypto, and futures, with ambitions to fund advanced research initiatives in science and engineering.
Ideal candidates are recent or soon-to-graduate from top international universities with strong coursework and internships, holding a Master’s degree (Ph D preferred) in a quantitative field, and proficient in Python.
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Hybrid ML Researcher - Quant Finance & R&D employer: ANSON MCCADE
Anson McCade is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible remote working environment in the UK. With a strong focus on security and digital transformation, employees benefit from comprehensive training programmes and clear pathways for career advancement, all while contributing to impactful projects alongside talented teams and senior stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid ML Researcher - Quant Finance & R&D
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like ANSON MCCADE when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like ANSON MCCADE.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like ANSON MCCADE.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through ANSON MCCADE’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Hybrid ML Researcher - Quant Finance & R&D
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at ANSON MCCADE, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at ANSON MCCADE aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at ANSON MCCADE
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
