Quantitative analyst
From Wikipedia, the free encyclopedia
A quantitative analyst is a person who works in the financial markets developing mathematical models to assist the activities of traders and risk managers within banks and other large corporate institutions. Throughout the industry, such professionals are known as quants[1].
Historically quants often had a background in mathematics or physics, usually at a PhD level. Fischer Black, an originator of the Black Scholes model, who might be viewed as the first quant, earned his PhD from Harvard in applied mathematics. However the rapid growth of the derivatives industry and increasing sophistication in the use of stochastic calculus to model the markets, led to the creation of specialized Masters and PhD courses in mathematical finance, computational finance, and/or financial reinsurance. Recently a large proportion of new quants have completed these courses, often sponsored by private institutions.
Although the original "quants" were concerned with risk management and derivatives pricing, the meaning of the term has expanded over time to include those individuals involved in almost any application of mathematics in finance. An example is statistical arbitrage.
For an overview of the activities conducted by a quant see computational finance and derivative (finance).
[edit] See also
[edit] External links
- QuantGrad.com Online investment banking community for quantitative graduates.
- Quantlib, a C++ library for quantitative finance
- Quant Equation Archive - Equations for financial engineers
- Society of Quantitative Analysts - A non-profit professional society concerned with the application of new & innovative techniques in finance
- Wilmott.com - Amongst the most popular sites for quants to share ideas and job offers
- QuantFinanceJobs.com - The job board for quantitative finance, financial engineering and risk management.
- QUANTster: The Quantitative Finance Job Market Daily. THE source for Quants in North America.
- QuantFinanceJob.com - "The community with tutorials, interview guides and job searching resources for physicsts, mathematicans, engineers, quants and MBAs to land a successful quantitative finance job on wall street!"
- - MoneyScience - An open access resource focussing on the interface between finance and quantitative finance.

