At a Glance
- Tasks: Build cutting-edge tools for traders and optimise quantitative applications.
- Company: Join Citi's dynamic Equity Derivatives Tech team in Greater London.
- Benefits: Enjoy a competitive salary, annual leave, bonuses, and private medical care.
- Other info: Exciting opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact in trading analytics with innovative technology.
- Qualifications: Proficient in Python with a degree in a quantitative subject.
The predicted salary is between 60000 - 80000 £ per year.
Citi is looking for a Quant Developer to work on Trading Analytics within its Equity Derivatives Tech team in Greater London. The role involves building production-grade tools for traders, improving desk technology stacks, and optimizing quantitative applications.
The ideal candidate is skilled in Python and has a degree in a quantitative subject.
Benefits include:
- a competitive salary
- annual leave
- performance-related bonuses
- private medical care
Quant Developer – Real-Time Trading Analytics for Equity Derivatives in London employer: Citi
Citi is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. As a Quant Developer, you'll benefit from a competitive salary, performance-related bonuses, and private medical care, all while collaborating with a talented team dedicated to optimising trading technologies. With a strong focus on employee growth and development, Citi provides ample opportunities for professional advancement in the fast-paced world of equity derivatives.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer – Real-Time Trading Analytics for Equity Derivatives in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Citi!
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We think you need these skills to ace Quant Developer – Real-Time Trading Analytics for Equity Derivatives 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 Citi, 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 Citi. 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 Citi
✨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!
✨Showcase Your Projects
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 Citi!
✨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.
