Quantitative Manager (Job #6454)
Location: Arlington
Posted on: April 8, 2021
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Job Description:
The successful candidate will be a creative, resourceful and
experienced with Agile methods and techniques to implement Scrum;
and must be a self-starter and have strong background in
statistics, machine learning and big data including information
retrieval, natural language processing, algorithm analysis, and
real-time distributed computing methods. As a quantitative manager
you have personnel management responsibility and can exercise your
talents to lead teams of expert data scientists and engineers on
multiple assignments and projects in a disciplined and fast paced
environment. You must be confident to tackle complex engineering
problems, and will be expected to work on design algorithms and
codify large-scale statistical models for real time processing
based on our analytics architecture.
Advanced Analytics
The Advanced Analytics service area is comprised of professionals
that possess competency and experience in the areas of risk
management, business and operational targeting processes,
computational linguistics, machine learning, knowledge discovery,
semantic engineering, probabilistic and statistical data mining.
Advanced Analytics professionals use these skills to assess,
analyze, and improve the effectiveness and efficiency of targeting
methods, operational control processes, offer recommendations to
improve operations, and assist clients with enterprise risk and
compliance activities.
Requirements
Minimum Qualifications
• Excellent communication skills and ability to understand and
communicate business requirements
• Excellent analytical and problem-solving skills
• Strong programming skills and experience in SPSS, SAS, R, Matlab
and similar toolset and deep understanding of exploratory data
analysis
• Background in statistical techniques, NLP and machine learning,
predictive modeling, data mining, statistical inference and
classification algorithms
• Develop statistical models and analytical methods to predict,
quantify, and forecast multiple business concerns and provide
performance reporting capabilities
• Experience in modeling techniques, statistical analysis,
propensity score matching, multivariate analysis, logistic
regression, time series, survival analysis, decision trees, and
neural networks
• BA/BS in Statistics, Mathematics, CS or related technical field,
and MS or PhD preferred
• Strong sense of passion, teamwork and responsibility
• Willingness to travel and flexibility to commute to clients in
the Washington D.C. metro area as needed
Keywords: , Arlington , Quantitative Manager (Job #6454), IT / Software / Systems , Arlington, Virginia
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