Junior Quantitative Researcher: Global Team & Autonomy in London

Junior Quantitative Researcher: Global Team & Autonomy in London

London Entry level 30000 - 40000 £ / year (est.) No working from home possible
ANSON MCCADE

At a Glance

  • Tasks: Research and implement strategies in quantitative trading for a leading hedge fund.
  • Company: Join Anson McCade, a top quantitative hedge fund in Greater London.
  • Benefits: Highly competitive salary, performance bonuses, and long-term growth potential.
  • Other info: Perfect for new graduates or those with some experience looking to advance.
  • Why this job: Gain autonomy and make impactful contributions to your career from day one.
  • Qualifications: Strong programming skills and a background in Mathematics or related fields.

The predicted salary is between 30000 - 40000 £ per year.

Anson McCade is seeking a Junior Quantitative Researcher in Greater London to join their leading quantitative hedge fund. This role is perfect for a new graduate or someone with some experience, providing autonomy and a chance to take significant steps in their career.

The Junior Quantitative Researcher will research and implement strategies in the firm’s quantitative trading framework. Candidates with strong programming skills and a quantitative background in Mathematics or related fields are encouraged to apply.

Highly competitive salary and performance-based bonuses are offered, alongside long-term upside tied to your team’s results.

Junior Quantitative Researcher: Global Team & Autonomy in London employer: ANSON MCCADE

Anson McCade is an exceptional employer, offering a dynamic work culture that fosters innovation and autonomy for its Junior Quantitative Researchers in Greater London. With a focus on employee growth, the firm provides competitive salaries, performance-based bonuses, and the opportunity to make impactful contributions within a leading quantitative hedge fund environment, making it an ideal place for ambitious graduates to launch their careers.

ANSON MCCADE

Contact Details:

ANSON MCCADE Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Quantitative Researcher: Global Team & Autonomy in London

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 Junior Quantitative Researcher: Global Team & Autonomy in London

Programming Skills
Quantitative Analysis
Mathematics
Research Skills
Strategy Implementation
Data Analysis
Statistical Modelling

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!