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About the Role

This role is for a quantitative specialist who thinks in models, simulates before deciding, and translates data into decisions. As S&P Global Market Intelligence's financial engine for sales compensation planning, you will design and run the simulation and scenario models that govern incentive spend across the global sales force — stress-testing plan structures, forecasting commission accruals, and delivering the predictive analytics that keep compensation spend aligned with divisional financial targets.

Responsibilities

Build and execute dynamic financial forecasting models using Python (NumPy/Pandas) and advanced Excel/Power Query.
Perform multi-variable stress-testing and sensitivity analyses on proposed compensation structures.
Design and compute plan effectiveness metrics.
Develop and maintain automated Power BI executive dashboards tracking global commission expense ratios, average realisation rates, CAC/COC ratios, and quota attainment curves.
Build reusable, script-based scenario calculators using Python, SQL, and Alteryx.
Partner with Data Architecture teams to automate data ingestion from enterprise data warehouses into financial modelling workspaces.

Requirements

5+ years in financial modelling, quantitative compensation analysis, corporate FP&A, or incentive strategy within a multinational organisation.
Proven experience building nested logic models, dynamic array models, and Monte Carlo or multi-variable sensitivity simulations for large-scale compensation expense forecasting and risk quantification.
Hands-on experience using Python (Pandas/NumPy) or Alteryx for data manipulation and programmatic financial modelling, combined with advanced SQL querying capability across large, multi-table datasets.
Demonstrated experience building sophisticated Power BI data visualisation models using advanced DAX measures and star-schema architectures for executive-level reporting.
Demonstrated experience synthesising complex quantitative modelling outputs into clear, structured recommendations for senior Finance and Commercial executives.
Experience using corporate financial planning tools — Adaptive Insights, Anaplan, or Workday Adaptive — in a compensation or revenue planning context.
Experience applying Monte Carlo simulation or probabilistic modelling techniques to sales compensation forecasting and tail-risk exposure quantification.
Experience constructing attainment distribution analyses and quota cliff assessments to identify plan design distortions across global sales territories.
Experience analysing the correlation between compensation expense ratios — including CAC and COC ratios — and product line profitability or net new ACV in a B2B SaaS or subscription-based sales environment.
Experience building and maintaining version-controlled financial modelling repositories with longitudinal baseline data for multi-year compensation plan performance comparisons.
Experience partnering with Data Architecture or Data Engineering teams to design automated data ingestion pipelines from enterprise data warehouses into financial modelling workspaces.
Experience using Python SciPy, Statsmodels, or R for advanced statistical modelling — including regression analysis and distribution fitting — in a sales compensation or FP&A context.
This role is limited to persons with indefinite right to work in the United States.

Skills

Python
NumPy
Pandas
Excel
Power Query
SQL
Alteryx
Power BI
DAX
Adaptive Insights
Anaplan
Workday Adaptive
SciPy
Statsmodels
R

Location

Virtual
New York, United States

Work Type

Virtual

Experience Level

5+ years

Salary/Compensations

$70,817 to $125,091

Benefits

Eligible for an annual incentive plan.
Health care coverage designed for the mind and body.
Generous time off.
Access to resources for career growth and learning new skills.
Competitive pay.
Retirement planning.
Continuing education program with a company-matched student loan contribution.
Financial wellness programs.
Family perks.
Retail discounts.
Referral incentive awards.

About the Company

Our Mission: Advancing Essential Intelligence.
We are more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business.
Our Values: Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead.
We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Equal Opportunity

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: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.