S&P Global provides businesses and organizations with essential intelligence–including data, expertise, and technology that makes it easy and efficient to bring insight into daily decision-making. As the world’s leader in credit ratings, benchmarks, analytics, and financial market data, we help people navigate the market in a constantly changing world. We help customers identify opportunity, take on challenges, and accelerate progress, but it’s only through our talented team that this is possible.
Our people come prepared every day to creatively approach and solve new problems. They are instrumental in helping our customers see things differently and take on tomorrow’s challenges, today.
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Building on unrivaled coverage of the economic, industry and risk landscape, Economics & Country Risk enables clients - large and small - to identify growth, plan accurately and navigate uncertainty. We partners with companies to help them identify new trends, size growth opportunities, monitor risk and opportunity ratio, conduct market assessments, plan for alternate scenarios and secure their business continuity. Our solutions enable clients to better allocate resources, capitalize on change and build an integrated, enterprise-wide approach to risk.
As a Python developer, you will set a high bar for code quality and architecture decisions for all Python software developed by the Economics and Country Risk Data Engineering team. Successful candidates should have a proven track record of delivering high quality results on projects that have made a meaningful impact.
In this role, you will provide technical guidance to improve the reliability and performance of the Data Engineering function. You will work on tools that have a real and immediate commercial impact and will have the opportunity to contribute to the building of complex and interesting estimation and forecasting models. You will work with large data sets ranging from point geo-coded intelligence events through to national level economic time series. You will interact with some of the world’s best economists and risk analysts, plus you will be part of a high-performing team of smart and dedicated engineers with a good engineering culture in place.
Potential candidates must be comfortable in a modern software engineering environment. Version control, CI and CD pipelines, cloud-native tech stacks, unit testing, clean code and good documentation are our daily tools. An interest in machine learning, economics, statistics, or political risk is beneficial but not required.
You will be expected to have
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Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person.
US Candidates Only
The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.