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Quantitative Modeler III
Ref No.: 18-40963
Location: Washington, District of Columbia
Position Type:Direct Placement
Pay Rate : $ 108,000.00 - 185,000.00 /Year
Skill Type
Skill Type:Information Technology

Support, develop, assess, and execute statistical, mathematical, economic, and financial models for business decision making, risk assessment, financial valuation, and performance measurement in all areas of mortgage finance business.

  • Under general direction of supervisor or senior staff, conduct theoretical and empirical research using public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rates, financial valuation of finance assets and derivatives, economic capital, and stress testing.
  • Apply mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions to support business strategies and initiatives.
  • Utilize data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
  • Identify opportunities to apply quantitative methods to improve business performance
  • Complete modeling projects in accordance with established company policies and generally-accepted modeling practices
  • Implement validation strategies and assess the quality and risk of model methodologies, outputs, and processes with some supervision
  • Apply understanding of 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
  • Provide guidance and coaching to junior team members on analyses and modeling projects. 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 as part of a team and across organizational lines
  • Bachelor's Degree or equivalent required
  • 4+ years of related experience
  • In-depth 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, and C++ . Experience with Client implementation libraries and frameworks such as NumPy, Scikit-learn, Tensor Flow, CNTK, Theano, and Spark. Experience with Client deployment on High Performance / Cloud platforms such as Amazon/Google/Azure.
  • Familiarity with statistical analysis tool such as SAS and Matlab and strong database skills SQL/Oracle.
  • 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 execute complex tasks under limited supervision of senior staff.
  • Must be self-motivated to gain business/institutional knowledge and learn new modeling techniques.
Nesco Resource is an equal employment opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status, or any other legally protected characteristics with respect to employment opportunities.