Ingénieur Machine Learning / Développeur Python F/H

Job Responsibility:
Join our team and work on a cutting-edge Transaction Monitoring platform used across our trading businesses. We're seeking a skilled Python Developer experienced with complex, modular, data-centric applications to help us build the future of market integrity.
About the Role:
As a Python Engineer, you'll be a key contributor to building robust and scalable data pipelines that integrate with diverse internal and external systems. You'll be involved in architectural decisions, ensuring the platform's health through monitoring, infrastructure setup, and CI/CD optimization. This platform processes vast datasets, running sophisticated models to detect potential market abuse, making your contribution crucial to our success.
You'll collaborate closely with data scientists and business stakeholders, translating their needs into effective technical solutions. You'll also champion development and deployment best practices within the team, driving continuous improvement.
This is a high-impact role with significant visibility and the opportunity to shape the future of our transaction monitoring architecture.
Key Responsibilities:
Develop and maintain Python micro-services, encompassing numerous data pipelines and algorithms designed to identify market abuse.
Expand ETL processes to incorporate new data sources seamlessly.
Collaborate with quantitative analysts and data scientists to understand and implement requirements for new algorithms, data onboarding, quality checks, and timeliness.
Build strong relationships with clients and stakeholders to understand their needs and prioritize work effectively.
Thrive in a multidisciplinary team environment, working closely with fellow developers, quants, data scientists, and production support teams.
Skills & Experience:
Proven experience designing and implementing Python-based backend services.
Expertise in building data pipelines leveraging Big Data technologies, preferably Spark and Python.
Experience with React or other front-end frameworks is a plus, as is a general understanding of full-stack development principles.
Strong database skills, with experience using SQL and NoSQL technologies (e.g., SQL Server, MongoDB).
Experience collaborating with data scientists and developing pipelines that support ML/statistical algorithms.
Demonstrated experience working in a DevOps environment, including CI/CD tools, monitoring tools, and log aggregation tools. Experience with Docker/Kubernetes is mandatory.
Qualifications:

• 5-8 years of relevant experience
• Experience in systems analysis and programming of software applications
• Experience in managing and implementing 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

This provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Technology -
Job Family:
Applications Development -
Time Type:
Full time -
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