Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build data-driven analytics and develop real-time pricing capabilities for equities.
- Company: Leading global finance institution with a focus on innovation.
- Benefits: Hybrid work model, annual leave, bonuses, and medical care.
- Other info: Exciting opportunities for growth in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in the finance world.
- Qualifications: Strong Python skills and knowledge of equities and options required.
The predicted salary is between 60000 - 80000 £ per year.
A leading global finance institution is seeking a Quantitative Developer to join their Equities Technology team in Greater London. The role involves building data-driven analytics and developing real-time pricing and market data capabilities.
Candidates should have strong experience with the Python data engineering stack and knowledge of financial products such as equities and options.
The position offers a hybrid work model with extensive benefits including annual leave, bonuses, and medical care.
Quant Developer: Real-Time Trading Analytics for Equities in London employer: Citi
Contact Detail:
Citi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer: Real-Time Trading Analytics for Equities in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. Join relevant groups and engage in discussions about real-time trading analytics. You never know who might have a lead on that perfect Quant Developer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data engineering and financial products. This will give potential employers a taste of what you can bring to their Equities Technology team.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of equities and options, and be ready to discuss how you've used data-driven analytics in past projects. Practice common technical questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Quant Developer: Real-Time Trading Analytics for Equities in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with the Python data engineering stack in your application. We want to see how you've used Python to build analytics or develop market data capabilities, so don’t hold back!
Know Your Financial Products: Since this role is all about equities and options, it’s crucial to demonstrate your knowledge of these financial products. We’re looking for candidates who can talk the talk, so include any relevant experience or projects that showcase your expertise.
Tailor Your Application: Don’t just send a generic CV and cover letter! We want to see how you fit into our Equities Technology team. Take the time to tailor your application to reflect the specific skills and experiences that align with the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Citi
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially the data engineering stack. Be ready to discuss specific libraries and frameworks you've used in past projects. Practising coding challenges related to data manipulation can really help you stand out.
✨Understand Financial Products
Familiarise yourself with equities and options, as well as how they function in real-time trading. Being able to discuss these products confidently will show that you’re not just a tech whiz but also understand the financial landscape.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities and understanding of algorithms. We recommend practising common quantitative problems and being ready to explain your thought process clearly during the interview.
✨Show Enthusiasm for the Role
Express genuine interest in the position and the company. Research their recent projects or innovations in trading analytics and be prepared to share your thoughts on them. This will demonstrate your passion and commitment to contributing to their team.