At a Glance
- Tasks: Analyse trading data and develop innovative trading solutions for our EMEA Equity Trading desk.
- Company: Join Janus Henderson, a leading investment firm with a focus on collaboration and innovation.
- Benefits: Enjoy hybrid working, excellent health benefits, paid volunteer time, and professional development support.
- Other info: Dynamic work environment with opportunities for growth and learning.
- Why this job: Make an impact in trading analytics while working with cutting-edge technology and a talented team.
- Qualifications: Strong analytical skills and proficiency in Python, KDB-Q, and VBA required.
The predicted salary is between 60000 - 80000 € per year.
Janus Henderson AAA CLO ETF is looking for a skilled Quantitative Analyst to join the EMEA Equity Trading desk. This role involves execution analytics, transaction cost analysis, and developing trading solutions.
The ideal candidate possesses strong analytical skills, is proficient in Python, KDB-Q, and VBA, and has a degree in a technical field.
The position offers hybrid working conditions and excellent health benefits, including paid volunteer time and professional development support.
Execution Quant: Trading Analytics & Platform Development in London employer: Janus Henderson AAA CLO ETF
Janus Henderson is an exceptional employer that fosters a dynamic and inclusive work culture, offering hybrid working conditions that promote work-life balance. Employees benefit from comprehensive health packages, generous paid volunteer time, and robust professional development opportunities, making it an ideal place for those seeking meaningful and rewarding careers in the finance sector.
Contact Detail:
Janus Henderson AAA CLO ETF Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Execution Quant: Trading Analytics & Platform Development in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and analytics space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python, KDB-Q, and VBA projects. This is your chance to demonstrate your analytical prowess beyond the application.
✨Tip Number 3
Prepare for the interview by brushing up on execution analytics and transaction cost analysis. We want you to be ready to discuss real-world applications of your skills!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Execution Quant: Trading Analytics & Platform Development in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your analytical skills and technical expertise in Python, KDB-Q, and VBA. We want to see how you can bring your unique talents to the table!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specifics of the Execution Quant role. Mention your experience with execution analytics and transaction cost analysis to catch our eye.
Be Clear and Concise:Keep your writing clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Janus Henderson AAA CLO ETF
✨Know Your Analytics
Make sure you brush up on your execution analytics and transaction cost analysis. Be ready to discuss specific examples of how you've used these skills in previous roles, as this will show your understanding of the key responsibilities for the position.
✨Show Off Your Coding Skills
Since proficiency in Python, KDB-Q, and VBA is crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding, so practice some common algorithms or data manipulation tasks beforehand.
✨Understand the Trading Landscape
Familiarise yourself with the current trends in equity trading and how analytics play a role in decision-making. Being able to discuss recent developments or challenges in the market will show that you're not just technically skilled but also engaged with the industry.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the tools they use, and their approach to trading solutions. This not only shows your interest in the role but also helps you gauge if the company culture and work environment align with your values.
