Python Engineer / Data Scientist, Citi

Citi

Location:
Canada, Mississauga

Category:
IT - Software Development

Contract Type:
Not provided

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. As a Python Engineer / Data Scientist, you will be responsible for building robust data pipelines, developing innovative GenAI solutions, and implementing custom algorithms to identify sophisticated market abuse patterns. You will contribute to architectural decisions, optimize engineering processes, and help maintain application health, infrastructure setup, and CI/CD pipelines. This is an exciting opportunity to work on a high-impact project that will significantly influence our business and shape the future architecture of our transaction monitoring capabilities. You will be part of a dynamic team driving innovation in a critical area of the financial industry.

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
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

Requirements:

Extensive experience in designing, developing, and deploying high-performance Python-based backend services
Expertise with Pandas & NumPy for data manipulation and analysis
Working knowledge of Kafka, Dask, and GenAI technologies
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
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
5-8 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in developing and maintaining successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Additional Information:

Job Posted:
July 10, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Python Engineer / Data Scientist