Senior Vice President – Data Science and Artificial Intelligence Group Manager

Jobtailor; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor in New York seeks a senior data science leader to drive end-to-end modeling and AI-enabled analytics across consumer finance initiatives. You will own model risk remediation programs, develop multi-year forecasting models, and guide regulatory compliance while leveraging Generative AI to unlock strategic insights from large datasets.

This role demands a track record of financial forecasting, reserve modeling, and governance in a regulated financial institution, with strong

Qualifications

• 10+ years in data science, quantitative analytics, or financial modeling within financial services.
• Expertise in credit card rewards economics, customer behavior modeling, or a related domain at the intersection of financial modeling and product strategy.
• Proven track record in model risk management, regulatory remediation, or formal model governance.
• Deep experience in financial forecasting, reserve modeling, or FP&A-aligned analytics.
• Experience with Generative AI and Large Language Models (LLMs) in applied business contexts.
• Strong background in credit risk, marketing analytics, or existing customer management.
• Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution.

Responsibilities

• Lead end-to-end modeling for customer strategies powering large-scale campaigns.
• Own a firm-wide model risk remediation program covering a large portfolio of models.
• Develop next-generation financial models feeding directly into multi-year strategic plans and mid-year forecasts.
• Lead the development of a GenAI-powered customer communication model.
• Drive model risk remediation, including resolution of regulatory findings, credit bureau attribute gaps, and model redevelopment in compliance with Model Risk Policy.
• Develop advanced financial forecasting models with vintage-level granularity to support accurate multi-year product-level planning.
• Build and enhance reserve models that improve financial controls accuracy and reduce volatility.
• Leverage large, complex internal and external datasets using advanced statistical techniques, ML algorithms, and visualization tools.
• Drive AI-led analytics solutions for key business problems.
• Own the full AI solution lifecycle from concept to production.
• Ensure all analytical work adheres to applicable laws, regulations, fair lending obligations, and internal policy.

Skills

Financial Modeling

Model Risk Management

Generative AI

Advanced Analytics

Regulatory Compliance

Credit Risk Analysis

Marketing Analytics

Tools

Visualization Tools

Large Language Models

AI Solutions

Job description

• Lead end-to-end modeling for existing customer strategies powering large-scale direct mail and digital campaigns
• Own a firm-wide model risk remediation program covering a large portfolio of models
• Develop next-generation financial models feeding directly into multi-year strategic plans and mid-year forecasts
• Lead the development of a GenAI-powered customer communication model
• Drive model risk remediation, including resolution of regulatory findings, credit bureau attribute gaps, and model redevelopment in compliance with Model Risk Policy
• Develop advanced financial forecasting models with vintage-level granularity to support accurate multi-year product-level planning
• Build and enhance reserve models that improve financial controls accuracy and reduce volatility
• Leverage large, complex internal and external datasets using advanced statistical techniques, ML algorithms, and visualization tools
• Drive AI-led analytics solutions for key business problems
• Own the full AI solution lifecycle from concept to production
• Ensure all analytical work adheres to applicable laws, regulations, fair lending obligations, and internal policy

Requirements

• 10+ years in data science, quantitative analytics, or financial modeling within financial services
• Expertise in credit card rewards economics, customer behavior modeling, or a related domain at the intersection of financial modeling and product strategy
• Proven track record in model risk management, regulatory remediation, or formal model governance
• Deep experience in financial forecasting, reserve modeling, or FP&A-aligned analytics
• Experience with Generative AI and Large Language Models (LLMs) in applied business contexts
• Strong background in credit risk, marketing analytics, or existing customer management
• Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution

Core Competencies

Demonstrates expertise in financial modeling, model risk management, and advanced analytics, with a strong focus on Generative AI and compliance within the financial services sector. Proven ability to lead complex modeling initiatives and drive strategic insights from large datasets.

Highest-signal resume keywords

• Financial Modeling
• Model Risk Management
• Generative AI
• Advanced Analytics
• Regulatory Compliance

ATS Optimization Keywords

Hard Skills

• Financial Forecasting
• Reserve Modeling
• Quantitative Analytics
• Statistical Techniques
• Machine Learning Algorithms
• Data Science
• Customer Behavior Modeling
• Model Governance
• Credit Risk Analysis
• Marketing Analytics

Industry Keywords

• Financial Services
• Model Risk Policy
• Fair Lending
• Compliance
• Credit Card Rewards Economics

Tools & Technologies

• Visualization Tools
• AI Solutions
• Large Language Models