McGraw Hill Financial MD, Head of Data Science in New York, New York
As our Head of Data Science, you will be essential to automation and product innovation by combining the power of our vast gamut of internal data assets with 3rdparty structured and non-traditional sources of data. You will build an advanced analytics and business intelligence strategy and roadmap and collaborate with technology and data teams to establish the enabling technologies. You will be instrumental in creating new business value by leveraging data across S&P Global and within S&P Global Ratings to extend our capabilities in data science, artificial intelligence, and machine learning. You will leverage data science and business intelligence to meet the needs of S&P Global Ratings and our clients. At S&P Global Ratings, data is at the center of everything we do, and we are the leader in the world of credit risk decision-making.
You will be expected to bring your machine learning and statistical analysis, programming and scripting capabilities, combined with exceptional communication skills. The role will work hands-on towards building data science and business intelligence capabilities, broaden exposure to analytical toolkits and alternative data assets within the S&P Global Ratings organization and be an active contributor to the S&P Global data scientist community.
Hands-on Leadership Capabilities:*
Lead a bold agenda around the use of our data assets, both in the traditional and alternative data domains, in new creative ways.
Promote and teach the use of big data and machine learning tools.
Engage with various technology and data teams to design the optimal data architecture for a new scale platform and infrastructure to support data and advanced analytics.
Drive, collaborate and align with credit rating analysts and commercial teams to ideate and build solutions in the next generation analytics space.
Building a strong Data Science team:*
Build, manage, inspire, and coach a high impact data science team to develop quantitative models (predictive, sentiment etc.) using NLP, machine learning, or data mining techniques to create business value.
Promote, demonstrate, and teach analytics, machine learning, and data visualization capabilities of the team to key members of the organization.
Executing on our Priorities:*
Manage data science and business intelligence requests and turn them into clearly defined projects for the team, with well-defined parameters and deliverables.
Develop relationships with various internal stakeholders and contribute to the formation and execution of S&P Global Ratings’ overall business plans and data strategy.
Experience & Qualifications:*
- Detailed knowledge (10 years) in multiple data domains – familiarity with, and knowledge of financial data assets, as well as application of alternative data assets (such as geo-spatial data, social media, sensor signals, etc.) in advanced analytics.
Master’s - PhD degree in a quantitative discipline, finance or equivalent experience preferred.
Worked with analytics and visualization tools such as Alteryx, SPSS, Qlik, Tableau, Microstrategy etc. Must be well versed in languages such as SQL, Python, R.
Strong understanding of machine learning, statistical and probability analysis, predictive modeling and hypothesis testing.
Evangelist of data science. Must be skilled at representing S&P Global Ratings in external forums (conferences, industry meetings) as well as at promoting advanced analytics to internal constituents across the enterprise. Must possess cross-cultural sensitivity and be able to work in an international team including managing offshore and outsource resources.
Ability to translate strategic imperatives at the macro level into specific initiatives and priorities for operational creation and execution.
Must have good operational skills as well as strategic understanding of business and product requirements.
Knowledge of financial engineering and quantitative modeling operations, preparation of budgetary plans, operational plans, forecasting activities.
Continuously monitor and keep abreast of tools, methodologies, data, and competitive movement and respond with strategies and tactics to maintain or alter strategy.
Thorough knowledge of technology systems; has the ability to work with development teams to ensure on-time, on-budget delivery of effective database technology.
A thorough understanding of applied statistics including sampling approaches, time series analysis and data mining techniques
S&P Global is an equal opportunity employer committed to making all employment decisions without regard to race - ethnicity, gender, gender identity or expression, pregnancy, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or any other basis prohibited by federal, state or local 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:
EEO.Compliance@spglobal.comand your request will be forwarded to the appropriate person.
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