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Quantitative Modeler IV
Ref No.: 18-40961
Location: Washington, District of Columbia
Position Type:Direct Placement
Pay Rate : $ 120,000.00 - 210,000.00 /Year
Skill Type
Skill Type:Information Technology

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

  • Conduct theoretical and empirical research with 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 rate, 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
  • 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
  • Bachelor's Degree or equivalent required
  • 6+ years of related experience
  • 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, 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 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 business/institutional knowledge and learn new modeling techniques.
  • Experience with model risk management a plus.

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.