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Data Engineer/Python Developer
3 months ago
data platforms and applying appropriate analytical techniques
- provide technology solutions that will solve business problems and strengthen our position as digital leaders in financial services
- develop and maintain data pipelines and build out API integrations to support increases in data volume and complexity
- apply a broad range of software engineering practices, from analyzing user needs and developing new features to automated testing and deployment Your team
In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods.
You'll collaborate closely with quant, architecture and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
You'll play an important role in our journey towards smarter and more advanced inventory management and optimization of available assets.
This will help ensure our vision of having collateral assets where we want them, when we want them, and at a reasonable cost.
BS or MS degree in Computer Science, software engineering, or equivalent experience- ideally 3-5 years of experience in Python programming
- ideally 3-5 years of experience with schema design or dimensional data modeling
- familiarity with Python frameworks and extensions like Pandas, Django, or Flask
- ability to write robust automated unit and integration tests
- familiarity with financial modeling, data analytics tools or linear programming tools like CPLEX a plus
- industry-specific experience in finance or banking a plus
Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.
From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone.
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