# Vice President, Data Scientist (Open Finance)

**Company**: Mastercard
**Location**: New York City, New York
**Experience**: senior
**Job type**: full-time
**Salary**: $244,000 - $390,000 USD
**Category**: Data Science
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/New-York-City-New-York/Vice-President--Data-Scientist--Open-Finance-_R-292482?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ee193f46-259

## Description

Mastercard is seeking an experienced and visionary Vice President of Data Science – Open Finance to lead the development and delivery of advanced data science and AI capabilities that power its Open Finance business.

The role involves building and scaling a world-class Data Science organization focused on transforming financial data into actionable insights, predictions, and decisioning capabilities. The VP will work closely with various teams to identify high-value opportunities, translate business problems into data science solutions, and deliver capabilities that create measurable customer and commercial value.

**Key Responsibilities:**

- Define and execute the Data Science strategy for Open Finance in alignment with overall business and product objectives.

- Identify opportunities where advanced analytics, machine learning, and AI can create differentiated products, improve decisioning, reduce risk, and drive growth.

- Establish a scalable roadmap spanning foundational intelligence capabilities and application-specific models and solutions.

- Evaluate and adopt the latest advances in machine learning, generative AI, foundation models, LLMs, deep learning, NLP, and other emerging technologies where they can create meaningful business value.

- Ensure models are accurate, scalable, explainable where required, resilient, and continuously improved based on performance and changing market conditions.

- Lead the development and continuous improvement of production-grade models and AI capabilities, including transaction categorization, entity extraction, income and revenue classification, fraud detection, credit risk, and propensity modeling.

- Partner closely with Product, Engineering, Sales, Risk, Marketing, and business leaders to understand customer needs and translate them into scalable data science solutions.

- Build, lead, and develop a high-performing global Data Science organization.

- Establish rigorous standards for model development, validation, monitoring, explainability, and performance.

**Requirements:**

- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Engineering, Data Science, or a related quantitative discipline.

- Previous experience in data science, machine learning, AI, analytics, or a related field, with significant leadership experience.

- Proven experience leading and scaling large, high-performing Data Science or AI organizations.

- Deep understanding of modern machine learning and AI techniques and their application to real-world business problems.

- History of taking machine learning models from research and experimentation through production, commercialization, and ongoing optimization.

- Background in financial services, fintech, payments, Open Banking/Open Finance, lending, fraud, or risk preferred.

- Strong understanding of modern data and AI platforms, MLOps, cloud technologies, and production machine learning environments.

**Benefits:**

- Competitive base salary

- Annual bonus or commissions depending on the role

- Insurance (including medical, prescription drug, dental, vision, disability, life insurance)

- Flexible spending account and health savings account

- Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)

- 80 hours of Paid Sick and Safe Time

- 25 days of vacation time and 5 personal days

- 401k with a best-in-class company match

- Deferred compensation for eligible roles

- Fitness reimbursement or on-site fitness facilities

- Eligibility for tuition reimbursement

## Skills

### Required
- machine learning
- AI
- data science
- analytics
- Python
- statistics
- mathematics
- computer science

### Nice to have
- financial services
- fintech
- payments
- Open Banking/Open Finance
- lending
- fraud
- risk

---

Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/New-York-City-New-York/Vice-President--Data-Scientist--Open-Finance-_R-292482?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
