Quantitative Finance | University of Pennsylvania

Skills & Competencies

Skills developed through this program

Auto-populatedfrom O*NET via SOC 13-2099.01

Skills

MathematicsCritical ThinkingReading ComprehensionComplex Problem SolvingSpeakingActive LearningActive ListeningJudgment and Decision Making

Knowledge

MathematicsEconomics and AccountingComputers and ElectronicsEnglish Language

Abilities

Mathematical ReasoningWritten ComprehensionOral ComprehensionWritten ExpressionDeductive ReasoningNumber FacilityOral ExpressionProblem SensitivityInductive ReasoningInformation Ordering

Tasks

Apply mathematical or statistical techniques to address practical issues in finance, such as derivat
Research or develop analytical tools to address issues such as portfolio construction or optimizatio
Interpret results of financial analysis procedures.

Technology

Data base user interface and query softwareData base management system softwareFinancial analysis softwareObject or component oriented development softwareData mining software

Tools

Computer data input scannersDesktop computersLaptop computersMainframe computersMulti-line telephone systemsPersonal computersPhotocopying equipment

Work Values

IndependenceAchievementWorking ConditionsRecognitionRelationshipsSupport

Career Pathways

Occupations this program prepares you for

Auto-populatedfrom O*NET + BLS

Occupations matched to this program, with median wage, top wage, growth, and openings
SOC	Occupation	Method	Wage	Growth	Openings
Match confidence: medium13-2099.01	Financial Quantitative Analysts	title_inference	—	—	—

Program Pathways

Credentials this program stacks toward

No program pathways.

What You'll Learn

Key competencies developed through this program

Auto-populatedfrom NSX Competency Framework

Mastery: advanced (Level 4)(based on Master's Degree)

Firmwide quantitative research strategy — set and drive by defining multi-year model development roadmaps aligned to business objectives across trading, risk, and compliance functions.
Organizational model governance frameworks — establish and oversee, ensuring all financial analytic models meet rigorous validation, audit, and regulatory standards at an institutional scale.
Senior quantitative talent — develop and mentor by designing learning pathways, providing technical sponsorship, and building a high-performance research culture.
Cross-functional analytical capabilities — lead by directing collaborative initiatives between quantitative analysts, technologists, traders, and regulators to address systemic financial risk.
Innovative pricing and risk model architectures — pioneer by championing adoption of frontier statistical, machine-learning, and econometric methodologies across the enterprise.
Executive and board-level stakeholders — persuade and advise by translating complex quantitative insights into strategic financial decisions with clarity and authoritative judgment.
Industry-wide standards for quantitative methods — influence by contributing to regulatory consultations, academic publications, and professional bodies shaping financial market practice.
Enterprise data infrastructure strategy — define in partnership with technology leadership to ensure scalable, high-integrity data pipelines supporting all quantitative functions.
Organizational risk appetite and model risk policy — shape by synthesizing systems-level evaluation of model performance, market conditions, and regulatory expectations.
Firmwide analytical tool ecosystems — oversee continuous evolution of, coordinating procurement, build-versus-buy decisions, and integration of advanced financial analysis software platforms.

Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.