YPFP -

Skip to content


Detica - Quantitative Analyst

Description

The Company
At Detica (www.detica.us.com), we help our customers in government and the privatesector transform large volumes of complex data into actionable intelligence, enabling better decision-making and sustained performance improvement. If you’d like to join a team that loves solving the really difficult problems—the ones that others say can’t be solved—please submit your resume for consideration.
 
The Role
We’re looking for candidates who enjoy pushing the analytics envelope, employing and creating novel analytical methods, defining the state of the art.  Successful candidates should expect to engage with customers, to understand their data-related issues, and to suggest strategies and approaches to extract the necessary intelligence from the data.  Our analytics work involves the manipulation, analysis, and modeling of large, complex data sets to deliver the intelligence required for optimal decision-making.
 
Our analytics work spans areas such as:
  • National security analysis
  • Detection and prevention of fraudulent behavior (e.g., first-party fraud, third-party fraud, identity fraud, insider collusion)
  • Business process optimization
  • Large-scale advanced analytics
  • Multi-INT data fusion
  • Natural language processing
  • Graph theory and social network analysis
  • Statistical analysis
  • Pattern recognition
  • Predictive modeling
 
Position Requirements
We are seeking individuals with knowledge and experience in data analytics, quantitative analysis, data fusion, data mining, operations research, and/or data manipulation. Experience with one or more programming languages, such as JAVA, Perl, C, C++, SAS is a plus.
 
A degree in mathematics, physics, engineering, statistics, computer science, economics, or another associated field is desired. Candidates with different educational backgrounds who have relevant experience will be given full consideration.


The opinions expressed on this site are those of the individual authors only and do not represent the views of any other YPFP member or those of YPFP as an organization, nor those of any other organization with which the author may be affiliated.