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For Companies At a Glance
- Tasks: Design and build the next-gen XiP platform for large-scale risk calculations.
- Company: Join Citi, a leading global financial services company with innovative tech solutions.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Why this job: Make a real impact in finance by developing cutting-edge technology for global markets.
- Qualifications: 5+ years of Python experience and a passion for building scalable systems.
- Other info: Collaborative team culture with mentorship opportunities and exciting challenges.
The predicted salary is between 48000 - 72000 £ per year.
Overview
XiP is building a next-generation cross-asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs.
Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients.
XiP Compute Services are deployed onto OpenShift and Amazon’s Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google’s Kubernetes Engine to further expand our coverage. Our system scales on-demand, and we can run up to tens of thousands of replicas of our services across all asset classes.
Role Overview
We are seeking a Senior Python Engineer to fill the role of ‘Applications Development Technology Lead Analyst’ on the XiNG large scale distributed calculation platform (XiP).
In this role you will design, build, and maintain the next generation of the XiP platform. You will be working on a Greenfield build of a major new component. The current generation of the product is responsible for 500 million risk & suitability calculations at Citi every day. The next generation of the product is expected to double the customer base and bring in huge new workloads.
As an engineer working on XiP, you will work on a platform which daily; coordinates hundreds of thousands of pods, consumes tens of thousands of compute cores, utilizes hundreds of TB of memory, and distributes hundreds of millions of calculations.
You will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of the platform.
Responsibilities
- Take part of the shared responsibility for the long-term strategic direction of XiP: Apply your experience and skills to develop the future versions of the calculation engine. This means making it faster, utilize resources better, and scale to even greater sizes. This means adding new features without impacting performance of the platform in undesirable manner, small changes multiplied by millions of calculations have a high cost. This means solving hard problems like transferring small amounts of data to a huge number of machines.
- Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid-level developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth-oriented team environment, encouraging best practices and continuous learning.
- Implement the new generation of Citi\’s Risk Calculation Engine: Participate in the design, development, and implementation of the next version of the XiP Risk Calculation Engine, focusing on understanding and fulfilling the needs of new platform customers.
- The current generation of the platform regularly parallelizes 250,000 hours of compute into a single 90-minute execution. The new platform needs to maintain this performance while enabling new workloads.
- Operationally support the optimization of Risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyze the distributed execution of large-scale risk calculations, identifying performance bottlenecks and inefficiencies. Provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimizations that enhance calculation speed and resource utilization.
- Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands. Coordinate with stakeholders to ensure that all scaling efforts are aligned with customer needs.
- Provide specialized customer support to optimize and improve large, distributed calculations. Act as a primary point of contact for clients to address issues and optimize inefficiencies that arise during distributed workload execution.
Qualifications
- 5+ years of professional software development experience with Python.
- Solid experience with Python frameworks (e.g. Flask, FastAPI, Pydantic).
- Experience with python packaging and environment managers (pip, conda, virtual environments).
- Experience with async programming in python (e.g. multiprocessing, subprocess, concurrent.futures).
- Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).
- Experience designing, building, and maintaining large-scale, distributed systems.
- Experience with RESTful API design and implementation.
- Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Experience with unit testing, integration testing, and test automation frameworks (e.g. Pytest, unittest).
- Experience working in Agile/Scrum development environments.
- Experience with CI/CD pipelines and DevOps practices is a plus.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
EEO statement and accessibility: 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. View Citi’s EEO Policy Statement and the Know Your Rights poster.
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Senior Python Engineer, Vice President employer: Citi
Contact Detail:
Citi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer, Vice President
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Ace that interview! Prepare by researching the company and practising common interview questions. Be ready to showcase your Python skills and discuss how you've tackled complex problems in the past.
✨Tip Number 3
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Senior Python Engineer, Vice President
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Python Engineer role. Highlight your experience with Python frameworks and large-scale distributed systems, as these are key for us at XiP. Use specific examples that showcase your skills and achievements.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're excited about the opportunity at XiP and how your background aligns with our goals. Don’t forget to mention your experience with cloud platforms and containerization, as they’re super relevant to what we do.
Showcase Your Problem-Solving Skills: In your application, be sure to highlight instances where you've tackled complex problems, especially in distributed systems. We love engineers who can think critically and adapt quickly, so share those experiences that demonstrate your ability to optimise performance.
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 the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Citi
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with frameworks like Flask and FastAPI. Be ready to discuss your experience with async programming and how you've tackled large-scale distributed systems in the past.
✨Understand the Role of Cloud and Containers
Familiarise yourself with cloud platforms like AWS and containerisation tools such as Docker and Kubernetes. Be prepared to explain how you've used these technologies in previous projects, particularly in relation to scaling applications.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've solved complex problems, especially those related to performance bottlenecks in distributed calculations. Highlight your analytical skills and how you've optimised processes in your past roles.
✨Prepare for Team Dynamics
Since mentoring is a key part of this role, be ready to discuss your experience in guiding mid-level developers. Share examples of how you've fostered collaboration and growth within your team, and how you approach task allocation based on skill sets.
