At a Glance
- Tasks: Build reliable data pipelines and develop tools for systematic trading.
- Company: Join JPMorgan Chase & Co., a leader in financial technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of an agile team that values innovation and problem-solving.
- Why this job: Make an impact in the fast-paced world of equities trading with cutting-edge technology.
- Qualifications: Strong Python skills and experience with data pipelines required.
The predicted salary is between 60000 - 80000 £ per year.
JPMorgan Chase & Co. is seeking a Python Quant Data Engineer in the City of Westminster to enhance technology for the Equities Trading Business. This role is crucial in building reliable data pipelines, supporting quantitative research, and developing robust tools for trading.
Candidates should have strong expertise in Python, experience with data pipelines, and an academic background in Computer Science or a related field. Join an agile team that values problem-solving and technical expertise.
Quant Data Engineer: Python for Systematic Trading Tech in City of Westminster employer: Jpmorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer that fosters a dynamic and inclusive work culture in the heart of Westminster. With a strong emphasis on employee growth, you will have access to cutting-edge technology and continuous learning opportunities, all while collaborating with a talented team dedicated to innovation in the Equities Trading Business. Join us to make a meaningful impact in a supportive environment that values your expertise and contributions.
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We think this is how you could land Quant Data Engineer: Python for Systematic Trading Tech in City of Westminster
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We think you need these skills to ace Quant Data Engineer: Python for Systematic Trading Tech in City of Westminster
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 Jpmorgan Chase & Co.. 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!
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✨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.
