Quantitative Manager (Job #6454)

Location: Arlington
Posted on: November 20, 2024

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: , Sterling , Quantitative Manager (Job #6454), IT / Software / Systems , Arlington, Virginia