Fundamentals of Quantitative Finance | University of Minnesota-Twin Cities

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: proficient (Level 3)(based on Post-Baccalaureate Certificate)

Advanced mathematical and statistical methodologies — apply autonomously across the full scope of derivative valuation, risk management, and financial market regulation challenges in complex, fast-moving environments.
Novel analytical tools for portfolio construction and optimization — research, design, and validate independently, incorporating cutting-edge quantitative and econometric techniques.
Non-routine financial analysis results — interpret with high confidence, identifying model limitations and market anomalies, and communicating conclusions to senior leadership.
Core quantitative model libraries — architect and maintain across multiple asset classes, ensuring robustness, version control, and compliance with regulatory standards.
Data collection methodologies and model specifications — define authoritatively by assessing trade-offs among data quality, computational cost, and statistical validity.
Comprehensive financial research reports — produce that integrate multi-factor quantitative findings into strategic recommendations for investment committees or regulators.
Object-oriented and development environment software — utilize at an expert level to build scalable, production-grade analytical systems supporting trading and risk functions.
Complex valuation and risk quantification problems — resolve for traders and researchers by synthesizing mathematical reasoning, market knowledge, and system-level thinking.
Enterprise risk management and ERP systems — integrate quantitative model outputs into, ensuring accurate profit-and-loss measurement and regulatory capital reporting.
Analytical judgment on ambiguous financial problems — exercise by applying systems analysis and evaluation skills to deliver sound decisions under data uncertainty.

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.