About the Role:
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
Education:
- Bachelor's degree/University degree or equivalent experience
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