Quantitative Analytics Manager

Quantitative Analytics ManagerSalary: $150k-$190k + $30k-$40k BonusLocation: McLean, VAHybrid role: 3 days in-office, 2 days remote**We are unable to provide sponsorship for this role****Bonus Eligible**A prestigious Fortune 500 company is seeking a Quantitative Analytics Manager that will work with the modeling and model validation team to develop and analyze Quantitative models that assess market, credit, and operational riskQualificationsDoctorate degree with 3 years of relevant work experience (or Master''s degree with 6 years of relevant work experience) in statistics, data science or a related quantitative field.Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include"”but is not limited to"”data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.Coursework or work experience writing computer programs to implement data science pipelines and predictive algorithms. Programming languages may include"”but are not limited to"”Python, R, SQL, Java, SAS, and MATLAB.Coursework or work experience using technologies for manipulating structured and unstructured dataResponsibilities Write programs to clean, coordinate and analyze large volumes of data.Make efficient use of the latest computing technologies to take advantage of big data and efficiently conduct analyses.Perform exploratory analysis and research and present results to both technical and non-technical audiences.Visualize data to communicate complex ideas.Test and validate model updates and outputs,Utilize model and other corporate metrics to provide mortgage analytics for transaction economics, hedging and pricing (loans and securities).Perform data analysis to monitor and forecast the whole-loan portfolio managed by LPMS desk on inflow / outflow, performance, changes in trend. This will involve large and complicated data sets and require familiarity with the business to iterate and drill down to meaningful results.Research and identify statistical portfolio and transaction trends to support new or improved products to manage interest rate and credit risks. - provided by Dice

Created: 2025-10-04