Junior Quant Developer in London

Junior Quant Developer in London

London Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Squarepoint Capital

At a Glance

  • Tasks: Collaborate with experts to develop innovative trading strategies and software.
  • Company: Join Squarepoint, a leader in quantitative research and trading.
  • Benefits: Gain hands-on experience, learn from industry leaders, and enjoy a dynamic work environment.
  • Other info: Fast-paced environment with opportunities for continuous learning and career growth.
  • Why this job: Make an impact in finance while working with cutting-edge technology and data.
  • Qualifications: Degree in a quantitative field and proficiency in Python, C++, or KDB+/q.

The predicted salary is between 40000 - 50000 £ per year.

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.

Position Overview: As a Quant Developer at Squarepoint you will work side-by-side with Quant Researchers and Traders to implement novel trading strategies and software for research projects. You could develop tools to apply advanced statistical methods in order to identify new trading opportunities and to monitor their impact over time. You could also develop improvements to our trading strategies through the running and thorough analysis of backtesting simulations across vast amounts of proprietary data. Whatever your project, you will drive cross-team initiatives at Squarepoint and will gain an excellent chance to learn from some of the world's most knowledgeable industry experts as you work towards our continued innovation in the quant research space.

Required Qualifications:

  • Degree in Applied Math, Physics, Engineering, Quantitative Finance, Computer Science or other quantitative disciplines
  • Up to 4 years of experience in a relevant role such as software or quant development
  • Proficiency in at least one of Python, C++, or KDB+/q
  • Strong interest in, or knowledge of finance and the global markets
  • Ability to work effectively with AI tools and systems, including demonstrable experience using them collaboratively to enhance software development, data analysis, or research workflows.
  • Experience working with git and Linux
  • Excellent written and verbal communication skills
  • Eagerness to continuously learn new technologies and develop with us
  • Ability to work well in a fast-paced environment

Nice to have:

  • Master's degree or higher with emphasis in a highly quantitative discipline
  • Deep knowledge of financial markets in at least one domain or asset class
  • Experience with database management systems and related technologies such as SQL
  • Experience working with financial data in a similar role

Junior Quant Developer in London employer: Squarepoint Capital

Squarepoint is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation among elite professionals in the trading industry. Located in New York, employees benefit from competitive compensation packages, including discretionary bonuses and comprehensive health and wellness plans, while also having ample opportunities for professional growth and development through mentorship and training programs. Join us to be part of a forward-thinking team that values your contributions and supports your career aspirations.

Squarepoint Capital

Contact Details:

Squarepoint Capital Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Quant Developer in London

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Apply Directly through Our Website

When you find a suitable opening like Junior Quant Developer at Squarepoint Capital, 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 Developer in London

Python
C++
KDB+/q
Financial Knowledge
AI Tools and Systems
Data Analysis
Git

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!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Squarepoint Capital. 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 Squarepoint Capital

Brush Up on Your Statistics

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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 Squarepoint Capital!

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.