Quantitative (Python) Developer - Hybrid London - Up To 250k! in Cardiff

Quantitative (Python) Developer - Hybrid London - Up To 250k! in Cardiff

Cardiff Full-Time Home office (partial)
Opus Recruitment Solutions

At a Glance

  • Tasks: Develop quantitative models using Python and collaborate on exciting blockchain projects.
  • Company: Fast-paced blockchain scale-up in the heart of London.
  • Benefits: Up to £250k salary, 100% health coverage, and team events.
  • Other info: Hybrid work model with three days in a vibrant central London office.
  • Why this job: Join a cutting-edge industry and make an impact in finance and technology.
  • Qualifications: Proficiency in Python, experience in trading, and knowledge of financial markets.

We’re a fast‑paced blockchain scale‑up looking for Quantitative Developers with proficiency in Python, Pandas, NumPy, and experience from the Trading world.

We’re on the lookout for candidates who:

  • Have deep familiarity with the Python data ecosystem
  • Understand Jupyter notebooks
  • Have exposure to machine learning libraries like PyTorch, XGBoost, and JAX
  • Understand crypto or traditional financial markets
  • Have strong API design and documentation skills

What you get in return:

  • Up to £250k base (depending on experience)
  • Three days in our new central London office
  • 100% health coverage
  • Team events

Want this role? If so please apply or send a CV to us. No sponsorship available for this role.

Quantitative (Python) Developer - Hybrid London - Up To 250k! in Cardiff employer: Opus Recruitment Solutions

Opus Recruitment Solutions is an excellent employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. With opportunities to work on high-profile projects across major UK cities, employees benefit from a hybrid working model that promotes work-life balance while engaging in meaningful work that makes a difference. The company values innovation and collaboration, ensuring that every team member can contribute to creating accessible and scalable solutions.

Opus Recruitment Solutions

Contact Details:

Opus Recruitment Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative (Python) Developer - Hybrid London - Up To 250k! in Cardiff

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 Opus Recruitment Solutions!

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 (Python) Developer - Hybrid London - Up To 250k! at Opus Recruitment Solutions.

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 Opus Recruitment Solutions.

Apply Directly through Our Website

When you find a suitable opening like Quantitative (Python) Developer - Hybrid London - Up To 250k! at Opus Recruitment Solutions, 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 (Python) Developer - Hybrid London - Up To 250k! in Cardiff

Python
Pandas
NumPy
Jupyter Notebooks
Machine Learning Libraries
PyTorch
XGBoost

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 Opus Recruitment Solutions, 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 Opus Recruitment Solutions. 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 Opus Recruitment Solutions

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 Opus Recruitment Solutions!

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.