Junior Quant Dev - C++ & Data Pipelines (Visa Sponsorship) in London

Junior Quant Dev - C++ & Data Pipelines (Visa Sponsorship) in London

London Full-Time 31500 - 38500 £ / year (est.) No working from home possible
STEM Solutions

At a Glance

  • Tasks: Join a dynamic team to develop high-performance trading systems and data pipelines.
  • Company: STEM Solutions, a leader in financial technology based in London.
  • Benefits: Visa sponsorship, competitive salary, and opportunities for professional growth.
  • Other info: Exciting environment with potential for career advancement in finance and tech.
  • Why this job: Make an impact in the fast-paced world of trading technology while honing your coding skills.
  • Qualifications: Experience in C++ and Python, with a passion for quantitative analysis.

The predicted salary is between 31500 - 38500 £ per year.

STEM Solutions in London is seeking a Junior Quantitative Developer to join a fast-paced trading and financial technology environment.

You will work on high-performance infrastructure, data pipelines, and quantitative trading systems.

Translate research prototypes into production C++ code, build and optimize backtesting tools, and manage large-scale data feeds.

You will also develop Python-based utilities for data analysis and experimentation.

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Junior Quant Dev - C++ & Data Pipelines (Visa Sponsorship) in London employer: STEM Solutions

Join a forward-thinking company in Milton Keynes that prioritises innovation and employee development. As a Graduate Technical Consultant, you will benefit from a competitive salary, comprehensive training, and a collaborative work culture that fosters growth and career progression. This is an excellent opportunity to work on exciting projects with cutting-edge technologies while being part of a supportive team dedicated to excellence.

STEM Solutions

Contact Details:

STEM Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Quant Dev - C++ & Data Pipelines (Visa Sponsorship) in London

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 STEM 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 Junior Quant Dev - C++ & Data Pipelines (Visa Sponsorship) at STEM 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 STEM Solutions.

Apply Directly through Our Website

When you find a suitable opening like Junior Quant Dev - C++ & Data Pipelines (Visa Sponsorship) at STEM 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 Junior Quant Dev - C++ & Data Pipelines (Visa Sponsorship) in London

Python
Problem-Solving Skills
SQL
Communication Skills
Data Engineering
ETL/ELT Processes
Data Pipeline Development

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 STEM 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 STEM 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 STEM 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 STEM 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.