Vice President, Data Scientist

BNY

BNY quantitative leader advancing pricing, XVA, Securities Finance, and AI analytics. Delivering models and strategic solutions for financial-markets growth, risk, and client outcomes.

Posted 8/18/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $83,000 - $209,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analytics, model development, and AI-driven solutions within financial markets, with a strong focus on derivative pricing, XVA frameworks, and advanced data science techniques. Proven ability to lead technical initiatives, support model governance, and translate complex quantitative concepts into actionable insights for senior stakeholders.

Highest-signal resume keywords

Quantitative AnalyticsMachine LearningDerivative PricingXVA FrameworksModel Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative ModellingValuation MethodologiesStatistical TechniquesAI TechniquesData Science TechniquesComplex Problem-SolvingAnalytical CapabilitiesQuantitative ResearchProduction DeploymentCollateral Optimisation

Soft Skills

Stakeholder ManagementInfluencing SkillsIndependent OperationThought LeadershipTechnical Direction

Tools & Technologies

Quantitative Technology StacksAI Technology StacksAnalytics StrategyDecision Support SystemsFinancial Modelling Tools

Industry Keywords

Financial MarketsSecurities FinanceRisk AnalyticsCapital OptimisationFunding Valuation Adjustment

About the role

Key responsibilities & impact

Serve as a senior quantitative expert supporting Pricing, XVA, Securities Finance, and AI-driven analytics businesses
Partner with trading, risk, technology, product, and AI engineering teams to develop quantitative models, advanced analytics, and AI-enabled solutions
Design, implement, and evolve pricing and valuation frameworks across multiple asset classes
Contribute to XVA analytics, capital optimisation, funding valuation adjustment methodologies, and balance sheet efficiency initiatives
Develop quantitative and AI-powered Securities Finance solutions, including collateral optimisation, inventory analytics, financing strategies, and decision support
Apply statistical, machine learning, and AI techniques to complex Markets business problems
Advise senior Markets stakeholders by translating quantitative and AI concepts into actionable insights
Provide technical leadership on methodologies, AI adoption, model architecture, implementation, and analytics strategy
Support model governance, validation, regulatory engagement, and controls for quantitative models and AI capabilities
Drive quantitative and AI initiatives from research and experimentation through implementation and production deployment
Advance quantitative and AI best practices, intellectual capital, innovation, and thought leadership across the organisation

Requirements

What you’ll need

Significant experience in quantitative analytics, model development, quantitative research, machine learning, or quantitative platform delivery within financial markets
Deep knowledge of derivative pricing, quantitative modelling, valuation methodologies, and risk analytics across one or more asset classes
Strong understanding of XVA frameworks, collateral management, funding, and capital optimisation
Experience applying machine learning, artificial intelligence, or advanced data science techniques to financial markets, trading, risk, or operational challenges
Track record of designing and delivering complex quantitative and AI-enabled solutions from concept through production deployment
Strong stakeholder management and influencing skills with senior business, risk, technology, and regulatory stakeholders
Excellent problem-solving, analytical, and quantitative research capabilities
Experience supporting model governance, validation, regulatory requirements, and AI risk management in a controlled environment
Strong programming skills and experience with modern quantitative, data science, and AI technology stacks
Ability to operate independently and provide thought leadership and technical direction without direct people-management responsibility

Benefits

Comp & perks

Highly competitive compensation
Flexible global resources and tools
Wellbeing programs
Paid leaves, including vacation and sick time
Paid volunteer time
401(k) plan
Company-sponsored medical insurance
Company-sponsored dental insurance
Company-sponsored vision insurance
Basic life insurance
Annual discretionary incentive award eligibility
Equal Employment Opportunity/Affirmative Action workplace