Occupation information for Financial Quantitative Analysts District Of Columbia

description

Develop quantitative techniques to inform securities investing, equities investing, pricing, or valuation of financial instruments. Develop mathematical or statistical models for risk management, asset optimization, pricing, or relative value analysis.

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details

Currently Employed: 7,740

Projected Annual Job Openings: 640

Typical Hourly Wage: $40.83 - $66.22

Typical Annual Salary: $84,930 - $137,740

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typical training

Typical education needed for entry: Bachelor's degree

Typical work experience needed for a job in this occupation: No work experience

Typical on-the-job training once you have a job in this occupation: No on-the-job training

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typical job duties
  • Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
  • Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
  • Interpret results of financial analysis procedures.
  • Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
  • Define or recommend model specifications or data collection methods.
  • Maintain or modify all financial analytic models in use.
  • Produce written summary reports of financial research results.
  • Provide application or analytical support to researchers or traders on issues such as valuations or data.
  • Devise or apply independent models or tools to help verify results of analytical systems.
  • Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.
tools & technology
Tools:
  • Desktop computers
  • Mainframe computers
  • Notebook computers
  • Personal computers
  • Photocopiers

Technology:
  • Analytical or scientific software
  • Business intelligence and data analysis software
  • Data base user interface and query software
  • Development environment software
  • Object or component oriented development software