At a Glance
- Tasks: Own automation for an equity trading desk and analyse trading data.
- Company: Join Janus Henderson Investors, a leader in investment management.
- Benefits: Enjoy hybrid work, strong benefits, and a supportive team environment.
- Other info: Great opportunity for career growth in a dynamic financial environment.
- Why this job: Make a real impact by streamlining workflows with cutting-edge AI tools.
- Qualifications: Proficiency in Python and 2-3+ years in a technical analytics role.
The predicted salary is between 49500 - 60500 £ per year.
Janus Henderson Investors is seeking a technically driven AI/Data professional to own automation for an equity trading desk.
You will analyze trading data, build production-ready tools, and partner with traders to streamline workflows.
Proficiency in Python, AI tooling, and data analysis is essential; 2-3+ years in a technical analytics role is preferred. Hybrid work and strong benefits are offered.
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Trading Desk AI & Automation Specialist in London employer: Janus Henderson Investors
At Janus Henderson Investors, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through our mentoring programs, professional development courses, and generous benefits, including hybrid working options and a focus on health and wellbeing. Located in a vibrant financial hub, we provide our team with the resources and support needed to thrive in their careers while making meaningful contributions to investment strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Desk AI & Automation Specialist in London
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We think you need these skills to ace Trading Desk AI & Automation Specialist 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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