Senior Python Developer (Python, Data pipelines, Airflow)

The Role: Senior Python Developer (Python, Data pipelines, Airflow)

The Team: Financial Risk Analytics at S&P Global provides products and solutions to financial institutions to measure and manage their counterparty credit risk, market risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche firms. Our products are available deployed, in the cloud or can be run as a service.

We have a need for an enthusiastic and skilled Senior Python developer who is interested in learning about quantitative analytics and perhaps looking to make a career at the intersection of Financial Analytics, Big Data and Mathematics!

The Impact: You will be working on a strategic component that allows clients to on-demand extract data required for pricing and risk calculations. This is an essential entry point to a risk calculation which requires speed to market and good design to drive efficient and robust workflows.

Whats in it for you: The successful candidate will gain exposure to risk analytics and latest trending technology that allows you to grow into a hybrid role specializing in both financial markets and technology a highly rewarding, challenging, and marketable position to gain skills in.

Responsibilities: The successful candidate will work on the Market Risk solution with a technology stack that is best of breed, involving Python 3.10+, Airflow, Pandas, NumPy, ECS (AWS). You will join a fast-paced, dynamic team environment, building commercial products that are at the heart of the business and contributing directly to revenue generation.

• Design and implement end to end applications in Python with an emphasis on efficiently writing functions on large datasets.
• Interpret and analyse business use-cases and feature requests into technical designs and development tasks.
• Participate in regular design and code review meetings.
• Be a responsive team player in system architecture and design discussions.
• Be proud of the high quality of your own work.
• Always follow quality standards (unit tests, integration tests and documented code)
• Happy to coach and mentor junior engineers.
• Be delivery focused, have a passion for technology and enjoy offering new ideas and approaches.
• Demonstrable technical capacity in understanding technical deliveries and dependencies.
• Strong experience in working in software engineering projects in an Agile manner.

What Were Looking For:

• Bachelors degree in computer science, Engineering, or a related discipline, or equivalent experience
• Computer Science and Software Engineering: Strong software development experience
• Minimum 10 years' experience in developing applications using Python.
• Experience using Python 3.10+
• Core Python with rich knowledge in OO methodologies and design.
• Experience writing python code that is scalable and performant.
• Experience/exposure to complex data types when designing and anticipating issues that impact performance (under ETL processes) by generating metrics using industry adopted profiling tools during development.
• Experience working on AWS, ECS, S3 and ideally MWAA (hosted Airflow on AWS)
• Experience working in data engineering/orchestration and scalable efficient flow design.
• Experience in developing data pipelines using Airflow.
• Good working competency in Docker, Git, Linux
• Good working knowledge of Pandas and NumPy
• Understanding of CI/CD pipelines
• Test frameworks.
• Agile and XP (Scrum, Kanban, TDD)
• Experience with cloud-based infrastructures, preferably with AWS.
• Fluent in English
• Passionate individual who thrives development, data and is hands on.