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For Companies At a Glance
- Tasks: Lead the development of innovative quant tools for trading and analytics.
- Company: Join Citi, a global leader in banking with a diverse culture.
- Benefits: Enjoy 27 days annual leave, hybrid work, and competitive salary.
- Why this job: Make an impact in finance with cutting-edge technology and a dynamic team.
- Qualifications: Expertise in Python and experience in quantitative trading applications required.
- Other info: Great career growth opportunities in a supportive environment.
The predicted salary is between 72000 - 108000 £ per year.
Citi is a world-leading global bank with approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
Are you a passionate and experienced engineering leader eager to build high-impact front office quant tools? Citi's Equities Technology team is undergoing significant growth and investment, specifically within our high-priority systematic trading and analytics systems. We are seeking a hands-on Engineering Lead to drive the development of our next-generation quantitative development platform serving the Equities Cash, Derivatives, and Prime businesses.
Role Overview/What will you do
- Champion engineering excellence through hands-on feature creation, rigorous code quality via pull request reviews, and by mentoring junior engineers to establish robust coding standards and guardrails.
- Architect scalable, secure re-usable components. You'll drive the design process, aligning with or challenging existing blueprints, seeking consensus from senior leads and stakeholders.
- Stay up to date with open-source solutions and latest trends to accelerate business outcomes.
Key Skills and Experience required
- Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics, with demonstrated expertise in:
- The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray)
- High-performance data stores and query engines (Starburst, Snowflake)
- Real-time streaming analytics technologies (Kafka, Flink)
- Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes)
- Proven success in enhancing developer experience that reduces friction in coding, building and deploying APIs and client libraries.
- Real-world application of generative AI prompt engineering and RAG pipelines.
- Full-stack HTML5 web development skills.
Desired Skills
- Understanding of Equities Cash, D1 & Deriv market mechanics and products via sell-side trading projects.
- Familiarity with low-latency programming languages such as Rust or C++.
What we'll provide you
- 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
- Access to an array of learning and development resources
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.
Equities Quant Platform Engineering Lead – Python (Technology) – VP in London employer: PowerToFly
Contact Detail:
PowerToFly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equities Quant Platform Engineering Lead – Python (Technology) – VP in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Citi or similar firms. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your hands-on experience with the tech stack mentioned in the job description.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past experiences in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Citi.
We think you need these skills to ace Equities Quant Platform Engineering Lead – Python (Technology) – VP in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Equities Quant Platform Engineering Lead role. Highlight your experience with Python and any relevant technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your hands-on experience and leadership skills, as these are key for us.
Showcase Your Projects: If you've worked on any projects that demonstrate your expertise in data-centric applications or quantitative trading, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at PowerToFly
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the Python data engineering stack mentioned in the job description. Brush up on Polars, Parquet, FastAPI, and other tools. Be ready to discuss how you've used these technologies in past projects and how they can be applied to enhance Citi's quantitative trading platform.
✨Showcase Your Leadership Skills
As an Engineering Lead, you'll need to demonstrate your ability to mentor junior engineers and drive engineering excellence. Prepare examples of how you've led teams, improved coding standards, or implemented best practices in previous roles. This will show that you can not only code but also inspire and guide others.
✨Understand the Business Context
Familiarise yourself with the Equities Cash, Derivatives, and Prime businesses. Knowing the market mechanics and products will help you align your technical skills with business needs. Be prepared to discuss how your engineering decisions can impact trading outcomes and improve developer experience.
✨Stay Current with Trends
Citi values innovation, so keep up with the latest trends in open-source solutions and real-time streaming analytics. Bring insights into how emerging technologies like generative AI can be leveraged in their systems. This shows you're not just a coder but a forward-thinking engineer who can drive business outcomes.
