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About the Role

The Enterprise Solutions Technology team is seeking a Data Scientist Leader to design, develop, and operate high-rigor analytical and machine-learning systems within a regulated financial-services environment. This is a hands-on role focused on defining the AI/ML roadmap and building production-grade models for anomaly detection, variance analysis, and forecasting, ensuring they are correct, explainable, and reliable.

Responsibilities

Lead the design, development, and operation of high-rigor analytical and machine-learning systems.
Define the AI/ML roadmap for Enterprise Solutions.
Build high-rigor analytical and predictive models for anomaly detection, variance analysis, drift detection, market and behavioral signals, forecasting, and prediction.
Ensure AI/ML strategy is sound and analytical models are correct, explainable, reliable in production, and able to withstand operational and regulatory scrutiny.
Collaborate with engineering, data platform, and product teams to manage the full model lifecycle from problem definition to production operation, including feature engineering, back-testing, deployment, monitoring, and ongoing performance management.
Address complex or high-risk analytical problems and intervene when models degrade or fail in production.
Determine when to apply advanced modeling, when simpler approaches suffice, and when modeling is not appropriate.
Provide technical mentorship through review, pairing, and example, with limited people management responsibilities.

Requirements

Strong experience delivering applied data science and machine learning in production within banking, capital markets, or similarly regulated, data-intensive environments.
Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints.
Hands-on ownership of the full model lifecycle: data exploration, feature engineering, model development, back-testing, validation, deployment, monitoring, and ongoing tuning.
Extensive experience working with large, complex, and imperfect datasets, including missing data, outliers, regime changes, noisy labels, and evolving schemas.
Strong understanding of production ML system design, including batch vs real-time inference, model serving patterns, performance trade-offs, and failure modes.
Experience operating models in production over time, including versioning, drift detection, retraining strategies, and incident response.
Practical experience designing explainable models suitable for regulated environments, including feature attribution and model transparency techniques.
Experience combining statistical models, ML, semantic models, and rules-based logic.
Strong focus on data quality, anomaly detection, and monitoring.
Comfortable working directly with data, models, and code, and collaborating closely with software engineers and platform teams.
Pragmatic and outcome-driven.
Clear communicator who can explain modelling choices, assumptions, and limitations to engineers, product partners, and senior stakeholders.
Acts as a technical mentor to other data scientists.
Limited line management responsibility.
Limited people management responsibility where appropriate.
This role is limited to persons with indefinite right to work in the United States.

Skills

Statistics
Machine Learning
Time-series analysis
Predictive modelling
Production ML system design
Batch inference
Real-time inference
Model serving patterns
Explainable models
Feature attribution
Model transparency techniques
Data quality
Anomaly detection
Monitoring
Data exploration
Feature engineering
Model development
Back-testing
Validation
Deployment
Model tuning
Versioning
Drift detection
Retraining strategies
Incident response

Location

United States

Work Type

Full-time

Experience Level

25+ years working with analytics, data science, or ML systems in production
Significant experience in financial services or other regulated, high-availability domains

Salary/Compensations

$177,036 to $350,000

Benefits

Eligible for an annual incentive plan
Additional S&P Global benefits
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: Perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards.

About the Company

At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
Our Mission: Advancing Essential Intelligence.
Our People: We're 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.
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.

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.