Position Description This position is responsible for applying machine learning and text analytics techniques for financial market analysis. The location is in DC, SEC headquarters. Onsite. Full time. Compensation $110K-180K/year (including bonus) + benefits. It is not a government job. It is a position of a private consulting firm but the client is the government agency SEC. Require Green Card or Citizenship. Public trust clearance is required before hiring. Duties developing text analytics capabilities, and any related support, such as: developing and writing project-specific programs to process data sets using modern analytical methods, statistical modeling techniques, machine learning and statistical processes; analyzing and interpreting statistical data; computing supporting metrics; producing and maintaining models or other analytical products. Qualifications shall have a minimum of a Master’s degree in information systems, computer science, computational linguistics, applied mathematics, or related technical field such as econometrics, finance, engineering, operations research, or an MBA, and demonstrated experience of 7 years in analyzing textual datasets. The key personnel shall also demonstrate experience using advanced analytic techniques such as latent semantic analysis, named-entity recognition, and part-of-speech tagging. At least one year operational/regulatory analysis experience is preferred. The candidate shall provide resources that have deep experience in creating, managing, and analyzing large text corpora using a variety of software packages similar to NLTK, gensim, Apache OpenNLP, Stanford NER, and LingPipe, along with experience using packages such as EXCEL, STATA, MATLAB, Mathematica, Perl, Oracle 11g, MS ACCESS, R, S-PLUS, Python or SQL. The key personnel shall also demonstrate experience with the Hadoop computational ecosystem, and Oracle relational databases. Knowledge and experience in a systems environment, such as MS Windows, Linux, and UNIX, that facilitates manipulation and processing of data is also required. If you are interested in the position, please send us an email at [email protected] with your resume and cover letter. Thank you!