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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
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
Mandatory 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
6-10 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Bachelor's degree/University degree or equivalent experience
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
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