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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 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.
- 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
- Monte Carlo simulation
- Probabilistic modelling
- Statistical modelling
- Regression analysis
- Distribution fitting
- SciPy
- Statsmodels
- R
Location
- United States
Work Type
- Full-time
Experience Level
- 5+ years
Salary/Compensations
- $70,817 to $125,091
Benefits
- 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 friendly 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 are changing the way people see things and empowering them to make an impact on the world we live in.
- We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business.
- 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.
- Know Your Rights: Workplace discrimination is illegal