Job Title: C# Quantitative Risk Model Validation
Location: Chicago, IL
Position Type: Fulltime/Contract position
Responsibilities:
Work to be performed:
· Review and validate quantitative risk model documentation
· Verify accuracy and reliability of the software implementation of the model
· Develop and implement complex independent tests to validate the model implementation
· Develop and implement independent models to benchmark Client production models
· Assess the models by ensuring that the data used is valid
· Document testing activities
· Document validation activities
· Communicate with Quantitative Risk Management and other departments about issues and concerns
· Provide expert knowledge on recommendations throughout validation processes
· Create logical and innovative solutions to complex problems
· Complete all validation assessments to meet strict business timelines
· Other duties as assigned
Skill and experience required:
Education and/or Experience:
· 6+ years of related experience as a goal of those to include.
· 2 or more years software development experience in C++, Java, C#, solid object-oriented programming skills, MS SQL Server database, or similar current modern technology
· Some work or experience in Matlab or R/Splus desirable
· Advanced degree in mathematical finance, econometrics, mathematics, physics, chemistry or similar discipline or science with quantitative focus
· Quantitative finance at the level of “Measuring Market Risk” by Kevin Dowd, or similar
If you believe you are qualified for this position and are currently in the job market or interested in making a change, please give me a call at 201-484-0331.
Job Types: Full-time, Contract
Pay: $70.00 - $80.00 per hour
Schedule:
Ability to commute/relocate:
Experience:
Work Location: One location
Established in 1999, New York Technology Partners is a global IT and Engineering consulting services company with 250+ employees on staff in the US and over $30 million in revenues. We provide the highest quality of integrated full-lifecycle IT & ...
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