Python Quant Engineer Job at Citi (Budapest)

Job Description

Are you an engineer who loves solving complex problems? Do you enjoy designing and building scalable, high-performance systems that process vast amounts of data? Are you looking to apply your Python skills to a new and exciting set of challenges? Our Markets Quantitative Analysis team at Citi is looking for talented developers just like you. We build the critical infrastructure and platforms that power global financial markets. Forget the stereotypes—this is a technology role, focused on tackling complex problems. We believe great engineers can come from anywhere. If you've been building data pipelines, working on engineering simulations in the automotive industry, or developing complex backend systems, your skills are exactly what we're looking for.

Job Responsibility

Build and Own Critical Systems: Design, develop, and optimize the large-scale distributed platforms that form the backbone of our global analytics
Engineer for Performance: Tackle fascinating challenges in high-performance computing, distributed data processing (using tools like Elastic Search, MongoDB, and more), and algorithmic efficiency
Develop Core Infrastructure: Create and maintain the core infrastructure, CI/CD pipelines, and tooling for our in-house analytical libraries, directly impacting the productivity of hundreds of developers
Create Powerful Tools: Build intuitive web-based interfaces and backends (we use React) that allow our researchers and traders to harness the power of our complex systems
Solve Real-World Puzzles: Apply your quantitative and analytical skills to implement and validate sophisticated mathematical models

Requirements

Solid Python Experience: You have a proven track record of building data-intensive applications, complex tooling, or backend systems with Python
An Engineer's Mindset: You have a strong foundation in software engineering principles and a passion for solving complex analytical problems with data-driven solutions
A Commitment to Quality: You have experience with automated testing. We use pytest, but your experience with any modern testing framework is valuable
Quantitative Aptitude: You likely have a degree in a technical field like Computer Science, Engineering, Physics, Mathematics, or Economics, and you're comfortable arguing for solutions on quantitative grounds

Nice to have

Experience with front-end development, especially with React
Familiarity with distributed systems and technologies (e.g., message queues, microservices, AsyncIO)
Hands-on experience with Linux and shell scripting
A passion for data analysis and turning raw data into actionable insights

What we offer

Cafeteria Program
Home Office Allowance (for colleagues working in hybrid work models)
Paid Parental Leave Program (maternity and paternity leave)
Private Medical Care Program and onsite medical rooms at our offices
Pension Plan Contribution to voluntary pension fund
Group Life Insurance
Employee Assistance Program
Access to a wide variety of learning and development programs, online course libraries and upskilling platforms, such as Udemy and Degreed
Flexible work arrangements to support you in managing work - life balance
Career progression opportunities across geographies and business lines
Socially active employee communities with diverse networking opportunities

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Python Quant Engineer

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