Psychological and Quantitative Foundations | University of Iowa

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: emerging (Level 1)(based on Education Specialist Degree)

Standard statistical techniques — apply under structured guidance to introductory finance problems such as return distribution analysis in a supervised research environment.
Existing pricing model libraries — execute and test using analytical or scientific software under senior analyst direction on assigned asset classes.
Financial data sets — query and extract using database user interface and query software to support team research workflows.
Quantitative analysis results — interpret and summarize in written form under reviewer oversight for internal research reports.
Mathematical reasoning and number facility — demonstrate by performing routine derivative valuation calculations within established model frameworks.
Data collection methods — assist in defining under supervision by documenting data sources and flagging quality issues for senior review.
Financial research literature — read and synthesize relevant peer-reviewed material to support team model development initiatives.
Analytical support tasks — provide to researchers and traders by running pre-built valuation queries and returning structured outputs.
Statistical software tools and development environments — operate at a proficient level to execute assigned quantitative scripts and pipelines.
Financial analysis findings — present orally in team meetings under the guidance of a senior quantitative analyst in a structured review setting.

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.