At a Glance
- Tasks: Prototype analytics and model costs while collaborating with tech for robust solutions.
- Company: Man Group, a leading firm in execution analytics based in London.
- Benefits: Flexible working arrangements and a comprehensive benefits package.
- Other info: Join a dynamic team focused on innovation and career growth.
- Why this job: Dive into quantitative research and make an impact in financial markets using Python and ML.
- Qualifications: Experience in Python and ML libraries, with a passion for analytics.
The predicted salary is between 60000 - 80000 £ per year.
Man Group, headquartered in London, seeks to advance execution analytics and research across PMs, traders and senior management.
You will prototype analytics, model costs and dynamics, and partner with technology to keep the platform robust.
The role focuses on quantitative research, end-to-end analytics, and scalable solutions with a strong emphasis on Python and ML libraries.
Flexible working arrangements and a comprehensive benefits package are offered.
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Junior Quant: Execution Analytics & ML for Markets in London employer: Man Group
Man Group is an exceptional employer that fosters a culture of inclusion and professional growth, making it an ideal place for individuals seeking to advance their careers in investment operations. With a commitment to work-life balance, employees benefit from flexible working arrangements, comprehensive benefits, and opportunities for community engagement through paid volunteering days. Located in London, the firm not only offers a dynamic work environment but also encourages collaboration and innovation, ensuring that every team member can contribute meaningfully to the firm's success.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Quant: Execution Analytics & ML for Markets in London
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We think you need these skills to ace Junior Quant: Execution Analytics & ML for Markets in London
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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Craft a Tailored Cover Letter:For a full-time role at Man Group, 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 Man Group. 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 Man Group
✨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!
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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
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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.
