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 Manager Chief Scientist Quantitative Researchers

Details
Country: USA
Location: Illinois-Chicago Chicago, IL
Total applied: 20
Salary/Wage:200,000.00 - 400,000.00 USD /year
Job Category:Accounting/Finance/Insurance
Relevant Work Experience:7+ to 10 Years
Education Level:Doctorate
Location:Chicago, IL
Status:Full Time, Employee
Occupations:Financial Analysis/Research/Reporting
Career Level:Manager (Manager/Supervisor of Staff)
Relevant Work Experience:7+ to 10 Years
Manager Chief Scientist Quantitative Researchers

Incredible position open at a fast-paced, dynamic trading company located in Downtown Chicago.  The opportunity of Manager Chief Scientist is a very high profile, important position.  This individual will manage over the 5 quantitative researchers.  The preferred candidate will be very academically intellectual and will be well versed in derivatives and risk management.  The candidate must be out of a financial or trading company. 

 

Job Responsibilities:

 

Work closely with quantitative research team and with traders to develop a variety of derivatives models and trading algorithms.

Serve as a resource for the firm and especially other researchers to discuss research projects, ideas, approaches, etc.

Provide recommendations on infrastructure and tools for the research team.

Interface with software engineering team as necessary to integrate new tools and models into trading software environment.

Work with the key business units to determine project priorities and approaches.

Experience and Skills:

Thorough understanding of trading business; some hands-on trading experience preferred.

10+ years experience in the financial industry; must have in-depth understanding of derivatives and risk management concepts and practices.

PhD in Mathematics, Statistics, Physics, Engineering or related quantitative field, or the foreign equivalent.

Must have experience in Mathematica or Matlab.

Expert level knowledge in at least one of the following: stochastic calculus, probability, statistics, time series analysis.

Deep understanding of the modelling of vanilla derivatives.

Prefer a thorough understanding of fixed income modelling concepts and standard industry approaches.

Previous experience in the area of high frequency data analysis and trading decision making.

Basic understanding of technology issues related to model implementation and electronic trading.

Some previous programming experience required; experience with C languages preferred.

Excellent communication skills; ability to communicate effectively at all levels and with a wide range of personality types.

 

 

 

 

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