Python Engineer / Data Scientist, Citi

Citi

Location:
Canada, Mississauga

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

We are seeking a talented and experienced Python Engineer with a strong background in Data Science to join our team. You will play a key role in developing strategic projects for a new Transaction Monitoring platform used across multiple businesses within Markets Technologies group. This platform is critical for detecting and preventing market abuse, ensuring the integrity of our financial systems.

Job Responsibility:

Design, develop, and maintain data-centric applications that host data pipelines and algorithms for detecting potential market abuse
Develop and implement GenAI-based solutions for the financial industry, leveraging foundational models such as Gemini, LLama, GPT, and Claude
Collaborate closely with clients and stakeholders to understand their requirements for platform development features and prioritize work accordingly
Work effectively in a multidisciplinary team, building strong relationships with developers, Quants/Data Scientists, and production support teams
Contribute to the team's strategy for development and deployment best practices, ensuring code quality, efficiency, and maintainability
Participate in the full software development lifecycle, from design and implementation to testing and deployment
Contribute to monitoring application health, infrastructure setup, and CI/CD processes
Implement and maintain data pipelines for ingesting, processing, and analyzing large datasets

Requirements:

Extensive experience in designing, developing, and deploying high-performance Python-based backend services
In-depth expertise with Pandas & NumPy for data manipulation and analysis
Strong working knowledge of Kafka, Spark, Dask, and GenAI technologies
Experience with NLP models, evaluation scenarios, prompt engineering, and RAG techniques
Solid understanding of databases and experience with SQL and NoSQL technologies (e.g., SQL Server, Oracle, Couchbase, MongoDB)
Experience working in a DevOps culture and a strong advocate for automation and continuous improvement
Proficiency with CI/CD tools (e.g., IBM UrbanCode Deploy, TeamCity, Jenkins), monitoring tools, and log aggregation tools
Demonstrated high development standards, with a strong focus on code quality, unit testing, continuous integration, and deployment
Excellent communication and interpersonal skills, with a proven ability to interact with clients and deliver results
Experience working in fast-paced development environments, with a track record of delivering high-quality solutions on time and within budget

Nice to have:

Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes
Experience with cloud platforms (e.g., AWS, Azure, GCP)
Knowledge of financial markets and market abuse detection techniques
Experience with machine learning model deployment and monitoring

What we offer:

Equal opportunity employer policy
Accessibility accommodations for individuals with disabilities

Additional Information:

Job Posted:
July 10, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Python Engineer / Data Scientist