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Quantitative Modeler / Data Scientist

Employer
Princeton Information
Location
Herndon, VA
Closing date
Mar 25, 2019

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Seeking a Quantitative ModelerData Scientist who will be able to support, develop, assess, and execute statistical, mathematical, economic, and financial models for business decision making in all areas of mortgage industry. Overview Conducts theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, commercial property valuation, default credit risk. Applies mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions to support business strategies and initiatives. Utilizes data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Identify opportunities to apply quantitative methods to improve business performance Ensure modeling projects are conducted in accordance with established company policies and generally-accepted modeling practices. Develop and implement validation strategies and assess the quality and risk of model methodologies, outputs, and processes. Understand relevant business context to properly interpret model results, monitor performance and assess risks. Conduct ad hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python. Communicate technical subject matter clearly and concisely, both verbally and through written communication via white papers, reports and presentations, to individuals from various backgrounds. Collaborate effectively, work as part of a team and across organizational lines to develop and implement solutions to meet business needs Serve as project lead. Work autonomously guiding teams, choosing projects, and often act as SME resource across departments or as an in-house-expert. Education Bachelor's Degree or equivalent required Experience 6 years of related experience Required Skills Expert knowledge of machine learning methods and hands-on experience in applying various methods in data assessment, model development, outcome analysis, and model validation, with demonstrable awareness of interpretability of opaque relationships, computational intensive analytics, and dynamic model structure. Proficiency with programming languages such as Python, Java, R. Experience with libraries and frameworks such as Scikit-learn, Tensor Flow, and Spark. Familiarity with statistical analysis tool such as SAS and Matlab and strong database skills SQLOracle. Post-graduate level knowledge of statistics, economics, and finance and familiarity with financial and behavioral modeling in areas of capital markets and mortgage finance. Excellent writing, presentation, and inter-personal communication skills. Ability to design and manage complex tasks with high level of autonomy, and provide technical guidance and coaching to junior staff. Must be self-motivated to gain businessinstitutional knowledge and learn new modeling techniques. INDVA Princeton Information is one of the nation's top five privately-held IT consulting firms, in business since 1985. Princeton Information services a clientele of primarily Fortune 500 companies nationwide. With annual revenues over 120 million, Princeton Information operates across the US from multiple regional offices. Our Commitment to Our Consultants As a privately held company, Princeton Information is solely committed to the success of clients and consultants - not to any shareholders. PI's success is grounded in the relationships we build with our consultants. We seek the best people provide career path counseling as well as the most challenging opportunities in business and in IT. As part of its culture of loyalty and commitment to its consultants, Princeton Information is committed to doing all we can to ensure our consultants have the best possible search, placement and work experience possible. Our Services Working with one Princeton Recruiter will gain you access to over 500 open requirements with the top clients in the US across all industries (finance, insurance, pharmaceutical, commercial, telecom, media, manufacturing) nationwide. Our local recruiters have in-depth knowledge of our clients and opportunities. They will work with you to find you the best possible opportunities for you and your career. Our Relationships Our relationships with our clients, as well as our consultants, are critical to our success We have a robust sales organization that ensures that Princeton has the inside track on what attributes a person needs in order to be successfully placed and engaged at our clients. We know the technical and non-technical skills that our clients are looking for and we ensure that you are educated about the client prior to your interview with them. Princeton is committed to going above and beyond to ensure that each meeting you have with a client is a successful one

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