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Our client, based in New York, is a specialized investment and technology development firm

whose activities center on various aspects of the intersection between technology and finance.

Their company encompasses a number of closely related entities with

approximately US $20 billion in aggregate capital.

Activities range from computer-based quantitative investment management to the development

and financing of technology-oriented business ventures, but are tied together by a common focus

on the economic implications of technological innovation.

Since its conception, the firm has earned an international reputation for

financial innovation and technological leadership.

 

Positions in Quantitative Analysis

 

Senior Quantitative Analysts

 

Quantitative Analyst (New York or Silicon Valley)

 

 

Position Details

 

 

Senior Quantitative Analyst

 

The Client is a specialized investment and technology development firm with an international reputation for financial innovation

and technological leadership, seeks two exceptionally gifted individuals for the role of Senior Quantitative Analyst

in its Equities and Fixed Income groups.

 

            Senior Quantitative Analyst: Equities

 

The ideal candidate will have a demonstrated history of developing successful quantitative models,

including forecasting, risk, and transaction cost models, an academic background in computer science,

mathematics, physics, statistics, or another quantitative field, and strong programming skills.

 

            Senior Quantitative Analyst: Fixed Income

 

          The ideal candidate will have a demonstrated history of developing successful quantitative mortgage

and/or interest rate models, an academic background in computer science, mathematics, physics,

statistics, or another quantitative field, and strong programming skills.

 

We are prepared to pay extraordinary people extraordinarily well.

 


Quantitative Analyst (Can be based in New York or Silicon Valley)

 

Quants will apply sophisticated numerical techniques and write software to analyze and develop statistical models

for our computerized financial trading strategies.

Their work involves examining trading data to determine ways of increasing profitability, decreasing risk,

and lowering transaction costs.

In addition, quants research financial literature to identify new trading ideas and create simulations to test them.

Quants with the company have traditionally been the top students in their respective math, physics, engineering,

and computer science programs.

A considerable number of them have also competed successfully in the United States and

International Math Olympiads as well as the Putnam Competition.

Candidates should have a 3.5+ GPA and 700+ on their quantitative scores.