Senior Software Engineer - SFS Climate Analytics in London

Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to capital markets. SFS - Sustainable Finance Solutions - refers to factors in evaluating the sustainability and associated potential financial performance of a company. SFS data is increasingly crucial for our clients, providing deeper intelligence about material financial impact than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to identify emerging risks and opportunities.

The Climate team was formed at the start of 2023. Climate change is a global problem for which Bloomberg wants to develop leading solutions. Our goal is to publish data and show analytics that inform how firms make environment-related investments. With each of our projects, we ask, "what are the climate insights for our customers?" In the past year, we built emissions pathways for 150K companies accurate to their industry and region. We added new carbon target indicators that allow analysts to download bulk data on 25K company carbon targets. To put it all together, we are working with Index on climate alignment scores to show how a company is performing today and in the future compared to their pathway and trend emissions forecast. All of our datasets need to be transparent, accurate to the methodology, and provide as wide coverage as possible.

For Climate Alignment Scores, customers want to know if their portfolio is on track to decarbonize. It helps them evaluate which companies are aligned with a benchmark pathway in terms of their GHG emissions intensity. We need to fetch targets (company pledges to reduce emissions X% by Y year) from different internal and external sources and calculate datasets to answer different pledge types, benchmark comparisons, and year to year emissions. We will also have a terminal experience to allow analysts to explore the carbon targets.

What's in it for you?

• Work with a variety of Bloomberg and open-source technologies including Python, Typescript, Argo, Docker, Redis, Comdb2, Postgres, Pytest, MyPy, Docker, Humio, and other proprietary technologies that will help get the job done.
• Partner closely with our product stakeholders to understand and influence a vision for our products.
• Help establish an inclusive and well-rounded team culture which can scale up with a sense of community and mentorship.
• Design, architect and develop software components.
• Leverage an agile approach to software development.
• Foster innovation by identifying opportunities to experiment and learn as we develop a scalable and reliable software stack for our product.
• Learn about interesting datasets including nature intactness and carbon targets.

You’ll need to have:

• Experience writing well tested enterprise software in Python.
• Proven experience designing and building scalable, maintainable enterprise systems.
• Familiarity with multi-layered architectures (e.g. service-oriented or microservices).
• Strong adherence to SOLID principles and design patterns.
• Experience of applying CI/CD principles for better quality software.
• The ability to contribute positively in an inclusive culture to a team with varied stakeholders.
• Motivation to contribute to an engineering community beyond your team.
• Experience working with Relational and NoSQL databases.

We’d love to see:

• Interest in the Sustainability and Climate domains.
• A passion for making a positive difference in the world through technology.
• Experience with full stack development and especially in the technical stack above.
• Enthusiasm to lead, share new ideas, drive processes and technology frameworks with the team.
• Eagerness for working with third-party/open-source technologies.
• Experience with containerization and CI/CD solutions (e.g. Docker, Devise).
• Experience working with Pandas, Quantitative Analysis.
• Experience working within the Scrum model.
• Enthusiasm to lead, share new ideas, drive processes and technology frameworks with the team.

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