About the Role:

Grade Level (for internal use):

The Team: The Quantitative Modeling Group is an elite, global team of highly skilled and versatile individuals (including PhDs, CFAs, FRMs, economists, statisticians, etc) who employ advanced machine-learning and statistical techniques to develop, maintain and enhance quantitative models used by analysts at Corporations, Governmental and Financial Institutions to automate, speed up and scale the quantitative assessment of credit, climate, third-party risk management, and Maritime and trade.

Responsibilities & Impact:

The Quantitative Modeling (QM) group develops all quantitative models that power the Global Insight’s desktop solutions, within one of the strategic businesses of S&P Global Market Intelligence. Our client base spans a diverse set of institutions, from Large Corporations to Small & Medium Enterprises, Banks, Auditing Firms, Governmental institutions and insurance companies.

QM is currently supporting several high-profile strategic initiative funded at S&P Global level, from building the next generation of credit risk assessment, scenario analysis and early warning signals models, to climate risk modelling, to developing quantitative models to support maritime and trade analytics.

The team also provides in-depth technical support to Sales Team and current clients, and is engaged in regular thought leadership/outreach activities (in coordination with Go-to-Market and Product Management) to incorporate external feedback into our models or to create new tools that enable clients to make decisions with conviction.

• Join a dynamic team of quantitative people who contribute to business expansion and acceleration, and leave your footprint from day one!
• Build the next generation of credit risk models within a flourishing field at the intersection between multiple risk domains.
• Generate powerful thought leadership pieces, to help showcasing analytical use of our models, increase brand awareness, support lead generation and collect valuable market feedback.
• Interact on a daily basis within a matrixed organization, including Product Managers, Product Specialists, Business Developers, Information Technologists, Innovators, adapting your language to a diverse audience, all the way up to C-level.
• Influence and steer the analytic development roadmap, bringing in your experience, creativity and diagonal thinking to craft innovative analytics that solve clear client painpoints.
• Interact with internal stakeholders and external clients, establishing yourself as a strong subject matter expert.
• Design of next-generation of statistical models to assess credit risk, using advanced statistical and machine learning techniques
• End-to-end analytic model development (data gathering, cleansing, model training, etc)
• Technical Documentation
• Production of collateral material to support Product Management team and go-to-market activities (White papers, blogs, etc)
• Training to Product Specialists and Sales, to enable effective positioning of how our products differentiate vs our competitors
• Analytic support on technical questions by current clients and perspective clients, gaining market intelligence, incorporating feedback into models and solving actual client pain-points

Compensation/Benefits Information: (This section is only applicable to US candidates)

S&P Global states that the anticipated base salary range for this position is $130,000 to $170,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.

In addition to base compensation, this role is eligible for an annual incentive plan.  This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

Include for roles that are bonus plan eligible, including sales commission plans. 

What We’re Looking For:

Basic Qualifications:

• 3+ years’ relevant work experience (modelling PD, LGD of SMEs and Corporates; building macro-econometric models, etc)
• Experience handling BIG datasets (structured and unstructured)
• Excellent knowledge of Python
• Top Master-level degree from reputable university in Financial Modelling, Finance, Economics, Statistics, Physics
• Good technical writing skills (English), for supporting senior team members in preparation and up