At a Glance
- Tasks: Lead the development of innovative AI products and design high-quality platforms.
- Company: Join Citi's dynamic tech team shaping the future of banking.
- Benefits: Enjoy competitive salary, 27 days leave, private medical care, and hybrid work options.
- Other info: Fast-paced environment with endless opportunities for skill development and career growth.
- Why this job: Be at the forefront of generative AI and make a real impact in banking technology.
- Qualifications: Fluency in Golang, experience with AI systems, and a passion for machine learning.
We are Citi’s Application, Platform and Engineering team, a start-up with the exciting mission of shaping the direction of travel for the entire bank under the Chief Technology Office, by defining the tech and engineering strategy for the bank. We are a team of talented engineers, product managers and tech SMEs, taking ambiguous concepts and making them real by engineering cutting edge products at planetary scale! We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest and greatest in the Kubernetes ecosystem.
Generative AI is a growing space, as a result, we ask that you share with us any specific AI engineering projects utilising LLMs that you’re proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM’s behaviour.
Bring your deep-dive software engineering expertise. Be a game-changer, ready to step beyond your designated role. Love the synergy of pair programming? Seize the opportunity to explore machine learning and its real-world applications at scale. A relentless passion to learn more about machine learning and generative AI, bringing your knowledge to shape Citi’s future.
- Lead the 0-1 build of multiple AI products
- Design and build high-quality, highly reliable products with user experience at the centre
- Be responsible for engineering innovative, best in class AI platforms for the bank
- Creating firsts in the Generative AI space for Citi as part of the team that defines the strategic direction for the bank
- Continually iterate and scale Generative AI products, whilst listening to the needs of the customers (internal)
- Mentor and nurture other engineers to help them grow their skills and expertise
Experience That Will Help You Succeed In This Role:
- Fluency in Golang is a must-have, (Python is a desirable addition)
- Experience designing control and sandboxing systems for AI experimentation
- Understanding of language models and transformers
- Direct engineering experience of high performance, large-scale ML systems
- A contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs, ML/Ops automation and more.
We do not have boundaries between engineering and research, and we expect all our technical staff to contribute to both as needed. We take a product-focused approach and care about building solutions that are robust, scalable, and easy to use. We enjoy working in a fast-paced team tackling cutting-edge problems by constantly testing and learning. We enjoy pair programming for our products, we are lean in our approach and remove bureaucracy where we see it. Every day there will be new challenges that will help you develop new skills that can drive your career.
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
- ~27 days annual leave (plus bank holidays)
- ~ A discretional annual performance related bonus
- ~ Private Medical Care & Life Insurance
- ~ Employee Assistance Program
- ~ Pension Plan
- ~ Paid Parental Leave
- ~ Special discounts for employees, family, and friends
We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
Senior Software Engineer - Data Technologies in London 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 Senior Software Engineer - Data Technologies in London
✨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 Senior Software Engineer - Data Technologies in London
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.
