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Added 8 mins ago
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As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
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For complementary skills, please see above and/or contact the recruiter.
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Added 1 hour ago
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Citi

Senior Software Engineer (Python / GenAI) – Markets Technology

Mississauga, ON, Canada

$94,300.00 - $141,500.00 · Full-time

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Job details

Pay: $94,300.00 - $141,500.00
Job type: Full-time
Experience: 4+ years of professional experience in Python for backend development, with the ability to design and build scalable, high-performance systems.
Posting language: English
Posted: Oct 7, 2026

Original job description

Citi’s Markets Technology group is modernizing financial risk management, and we are seeking an experienced Senior Python Engineer to sit at the center of that evolution. In this role, you will architect and scale robust backend systems, leveraging Generative AI to analyze massive volumes of unstructured financial communication - extracting trading signals, validating market behavior, and enhancing critical risk controls across Citi’s global markets infrastructure.

This is a high-impact, hands-on engineering position (~80% coding) where your technical contributions will directly influence next-generation risk and intelligence platforms at global enterprise scale.

Key Responsibilities

Design and implement advanced risk detection and analytics algorithms on Citi’s strategic platforms, integrating Generative AI foundational models to evaluate market activity and derive actionable intelligence from multimodal data (chat, voice, transcripts).
Apply advanced prompt engineering, token usage optimization, and Retrieval-Augmented Generation (RAG) techniques to develop efficient, production-grade solutions using Citi's proprietary data at scale.
Architect, build, and deploy resilient, distributed backend services and high-performance APIs across Kubernetes-orchestrated infrastructure.
Continuously research, benchmark, and integrate emerging LLM/GenAI paradigms, libraries, and frameworks to elevate platform capabilities and engineering velocity.
Partner with quantitative analysts, product owners, risk managers, and compliance teams to roll out features across platforms governing hundreds of risk controls.
Deliver clean, modular, and maintainable software backed by comprehensive unit testing, rigorous peer code reviews, and automated CI/CD pipelines.
Author and maintain architectural blueprints, system diagrams, and technical documentation to foster reliability and team-wide technical excellence.

Required Qualifications & Skills

4+ years of professional experience in Python for backend development, with the ability to design and build scalable, high-performance systems.
Hands-on experience applying Generative AI foundational models in production environments, with demonstrated expertise in prompt engineering and token usage optimization.
Practical knowledge of Kubernetes for deploying and operating scalable backend platforms and engineering high-performance APIs.
Solid command of software engineering fundamentals, including system design, data structures, and algorithms.
Ability to work independently, manage competing priorities, and deliver across multiple workstreams without close direction.
Bachelor's degree or equivalent professional experience.

Beneficial Skills & Qualifications

Exposure to processing and deriving insights from large volumes of unstructured or conversational data.
Preferred experience working in financial services or banking, with familiarity with trading workflows, market data, or financial risk concepts.
Strong communication and influencing skills, with the ability to align technical and non-technical stakeholders around shared goals.
Experience working across international, cross-functional teams and contributing to collaborative platform delivery.

What We Offer

At Citi, you will work on technology that operates at genuine global scale - contributing to platforms that process real financial data, support critical market operations, and place Generative AI at the heart of how risk is understood and managed. This is an opportunity to do technically ambitious work in a performance-driven environment that rewards ownership and continuous learning.

A hybrid working arrangement offering 3 days in the office and 2 days working remotely, providing flexibility alongside meaningful in-person collaboration.
Direct ownership of complex, high-stakes engineering challenges at the intersection of large-scale systems and cutting-edge AI - with real impact on financial markets technology.
Access to Citi's learning and development programs, supporting your growth as both a technical practitioner and a senior contributor.
Exposure to Generative AI applied in one of the most data-rich and technically demanding environments in financial services.
Competitive financial wellbeing benefits and compensation aligned to senior-level engineering contribution.
Wellbeing support and work-life balance initiatives designed to help you perform at your best over the long term.

How to Apply

Apply now to bring your Python engineering and Generative AI expertise to Citi's Markets Technology group - and help build the intelligent foundation powering global financial risk management.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$94,300.00 - $141,500.00

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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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.

Apply About employer

More about this job

Responsibilities

The role involves architecting and scaling backend systems using Generative AI to analyze financial communication and enhance risk controls. You will collaborate with cross-functional teams to integrate LLM paradigms and deploy high-performance APIs within a Kubernetes-orchestrated infrastructure.

Requirements

Candidates must have at least 4 years of professional Python backend development experience and hands-on expertise with Generative AI models. A bachelor's degree is required, along with strong knowledge of system design, Kubernetes, and software engineering fundamentals.

Skills

Python
Generative AI
Prompt engineering
Retrieval-Augmented Generation
Kubernetes
Backend development
API development
System design
Data structures
Algorithms
CI/CD
Unit testing
Risk management
Financial technology
Distributed systems

Benefits

Hybrid working arrangement
Learning and development programs
Financial wellbeing benefits
Wellbeing support
Work-life balance initiatives

Visa sponsorship

Not detected in the job text

Keywords

Python
Generative AI
LLM
RAG
Kubernetes
Backend
API
Risk management
Financial services
Trading
CI/CD
Distributed systems
Prompt engineering
Data analytics
Software engineering
Multimodal data
Market data
Compliance
Quantitative analysis
Cloud infrastructure

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