At a Glance
- Tasks: Join our team to develop AI-driven quantitative models and enhance our research platform.
- Company: Janus Henderson Group, a leading investment management firm in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology and career advancement.
- Why this job: Be at the forefront of AI innovation in finance and make a real impact.
- Qualifications: Strong background in quantitative modeling and software development lifecycle.
The predicted salary is between 59400 - 72600 £ per year.
Janus Henderson Group is seeking a quant-focused engineer to join our Hybrid team in London, collaborating with asset allocation PMs and researchers to push ideas from notebooks to production.
You will build and extend a scalable research platform, manage the multi-asset data layer, and leverage AI tools for prototyping, testing, and documentation.
The role requires deep quantitative modeling experience, SDLC familiarity, and strong communication.
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Production-Ready Quantitative Developer (AI-Driven) in London employer: Janus Henderson Group
Janus Henderson Investors is an exceptional employer that prioritises innovation and collaboration, making it an ideal place for an AI Security Engineer. With a strong focus on employee growth, the company offers extensive training opportunities and a supportive work culture that encourages creativity and responsibility in securing AI systems. Located in a dynamic environment, employees benefit from a forward-thinking approach to technology and security, ensuring meaningful contributions to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Production-Ready Quantitative Developer (AI-Driven) in London
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We think you need these skills to ace Production-Ready Quantitative Developer (AI-Driven) 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!
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 Janus Henderson 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 Janus Henderson 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 Janus Henderson 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
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 Janus Henderson Group!
✨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.
