Job Description

The Impact: With the ever-expanding data sets and techniques to handle data, in this role you will use cutting edge techniques in domain languages to handle both traditional and alternative data sets and apply them into credit modelling. We are innovating the way the essential intelligence is being collected and processed to support our clients\' decision making and risk monitoring needs. By leveraging the data science oriented technologies, we are delivering solutions faster and at scale, while maintaining the top notch quality standards. What\'s in it for you: We are a Fortune 500 company and recognized industry-leading provider of data and analytics: as such, we provide an unusually rich environment for data scientists to make an impact and grow personally and professionally. In addition to applying data science, you will have an opportunity to connect with leaders across S&P Global, our clients and partners define new product opportunities and be part of a lean, active, and professional team. Join a dynamic team that solves diverse problems using, applied machine learning in finance with an end-to-end implementation of the solution: inception, prototyping, development, production, and GTM/selling/positioning. This is a high visibility role, and critical to the execution of our Analytics transformation strategy. Responsibilities: Leading the design, architecture, ML pipeline development for Universal Coverage. Design, execute and deploy projects aimed at solving high-impact business problems. Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Partnering with software developers to provide specifications for deploying models/algorithms into production systems, when applicable Perform exploratory data analysis, proof-of-concept modeling, and business cases necessary to generate partner consensus and internal support for your projects Dedicatedly communicate the vision and status of your data science projects, ensuring that accurate expectations are set and met across all levels of partners Present to customers projects and validate needs and requirements to feed into the business case Provide analysis and due diligence expertise with potential strategic partners What We\'re Looking For: 5+ years\' experience in a quantitative, Data Science or other advanced data & predictive analytics role Practical experience with data mining, machine learning techniques, natural language processing, and data visualization - with an explicit aspiration to significantly enhance own skillset in those fields Experience of working on end-to-end data science pipelines: problem scoping, data gathering, exploratory data analysis, modelling, insights, visualizations, monitoring and maintenance Proven track record of strong analytical skills, learning agility, and independent thinking. Ability to make observations, form an option, and articulate to the team Typically requires a Graduate Degree in Math, Statistics, Engineering, Operational Research, or related field Strong English-speaking and writing skills required Hands on experience with implementing statistical models Experience in applying optimization and numerical methods Hands on experience with implementing Machine Learning techniques in a specific business application context. Technical/Programming: Expert Proficiency in Python or R Proficiency in, or willingness to learn, the other language - R or Python Applied Machine Learning models such as decision trees random forest, neural networks... whether in research or at work Experience in deploying apps in cloud native environment - Docker, Kubernetes, Sagemaker, AWS, Databricks, etc. Databases: SQL and any of SQL Server, Oracle, Snowflake, Postgres Shown success in using large amounts of data to solve analytical problems Experience with Natural Language Processing techniques, TensorFlow or PyTorch, SpaCy for entity recognition, ImageMagick, Tesseract, Table Detection techniques Built apps using Shiny/RStudio Connect and/or Plotly/Dash. Exposure to technologies such as Hadoop, Spark, no-SQL data stores such as Cassandra Familiarity with conventional software development languages - Scala, JavaScript, C#, Java, etc. - is a plus Ability to collaborate effectively with a diverse group of business, operational and technical partners Ability to communicate complex mathematical models and processes in straightforward, non-technical language Presentation skills: including presenting to senior management, stakeholders, and the executive team Nice to have: Prior experience from the Economics/Financial industry Experience in building institutional/B2B financial models in the capital markets, risk management, or credit risk. At S&P Global Market Intelligence, we know that not all information is important-some of it is vital. Accurate, deep and insightful. We integrate financial and industry data, research and news into tools that help track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuation and assess credit risk. Investment professionals, government agencies, corporations and universities globally can gain the intelligence essential to making business and financial decisions with conviction. S&P Global Market Intelligence is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit . 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: and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. 20 - Professional (EEO-2 Job Categories-United States of America), ANLYTC202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

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