At a Glance
- Tasks: Join a dynamic team to develop cutting-edge data analytics and build robust data pipelines.
- Company: Citi, a global leader in finance with a collaborative culture.
- Benefits: Competitive salary, career growth, community impact, and diverse opportunities.
- Other info: Exciting chance to mentor others and thrive in a fast-paced environment.
- Why this job: Make a real impact in finance while working with innovative technologies.
- Qualifications: Strong Python skills and experience in financial applications are essential.
The predicted salary is between 63000 - 77000 £ per year.
Discover your future at Citi. Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
The FX Options Pricing and Market Data distribution team is going through significant reengineering and modernisation. We are looking for an experienced Python developer and technologist to take a hands-on role in building out data analytics capabilities and developing frameworks that enable data scientists to leverage market data.
Responsibilities:
- Contribute to the design and development of the electronic FX Options Data Platform.
- Building out reliable and fast data pipelines for quantitative analysis and trading.
- Design, build and support our data analytic infrastructure.
- Collaborate with a global team of developers, quants and traders to translate business requirements into robust technical solutions.
- Drive the design and development of system architecture, work with users of the system, and enhance the quality of deliverables.
- Contribute to the continuous improvement of development, deployment and testing processes.
- Share your knowledge and mentor other developers, fostering a collaborative and innovative team environment.
Required Skills:
- Strong knowledge and experience of Python development.
- Experience implementing front office systems for Quants and Trading.
- Proficiency with Python frameworks such as FastAPI, Flask etc for building scalable applications.
- Experience with Python libraries for financial applications (NumPy, Pandas, asyncio).
- Hands-on practical experience delivering system design, application development, testing, and operational stability, particularly in Linux based cloud environments.
- Openshift/Kubernetes experience with containerized Python applications.
- Caching technologies e.g. Redis, Memcached or others.
- Middleware technologies: Kafka, RabbitMQ, Solace, or other message brokers.
- Experience with Python package management and dependency management (pip, uv, conda).
- Awareness of industry trends and leveraging new technologies as appropriate.
- Proven track record of building new systems, replacing legacy systems and renovating existing systems.
Nice to have:
- Java and/or C# development experience.
- Experience with quantitative libraries.
- Familiarity with CI/CD pipelines for Python applications.
- Experience working in finance.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
Python Developer & Data Engineer employer: Citi
Citi is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a fast-paced financial services environment. With generous benefits such as 27 days of annual leave, private medical care, and extensive learning resources, employees are empowered to grow both personally and professionally. Located in a vibrant city, Citi provides unique opportunities for collaboration across global teams, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer & Data Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Citi or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Citi.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Citi.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Citi that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Python Developer & Data Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Citi.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Citi and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Citi
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Citi uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
