Data Scientist/Statistical

Mclean, VA
Oct 13, 2021
Oct 15, 2021
Accountant, IT
Full Time
. Client is looking for a Mortgage Research Senior to join client's Economic and Housing Research department to support several ongoing research projects and to be responsible for the development and execution of statistical models and applications to help understand the constantly evolving US housing and mortgage market. . The Economic and Housing Research Department at client supports our Chief Economist and senior management by analyzing trends driving the US economy, housing and mortgage market. Our team is responsible for producing innovative research that supports client's business and our mission. We do this through the publication of research reports, forecasts and housing and mortgage market statistics, including the Primary Mortgage Market Survey which began in 1971 and is the longest running weekly national survey of mortgage rates in the United States. We also serve our internal customers through research and analysis of economic and housing market trends that influence their business processes. . Developing analytical methods and models to assess the mortgage rate of various types of loans across lenders and geographies. . Support for maintaining, developing and improving various Economic and Housing Research mortgage data products and reports such as our Primary Mortgage Market Survey . Support our business areas and the broader mortgage market through the publication of industry-leading reports as well as providing analysis of economic and housing market conditions for internal customers that will drive business activity . You will also be encouraged to collaborate with internal partners to help them find opportunities for new research projects and implement solutions that use client's outstanding data and deep mortgage industry subject matter expertise. Job Requirements: Requirements . SME (8+) level SQL Querying experience. . Master's Degree in Statistics, Math, or Economics with a background in quantitative analysis. . Python is required. Hands on experience with modeling ( credit risk models, prepayment models and severity). . Strong preference for Pyspark and mortgage and housing market data. . Knowledge of and familiarity with mortgage and housing market data . Master's degree in Statistics, Math, Economics, Computer Science or a related quantitative field with at least 4 years of related post-graduate work experience . Strong programming skills 5+ years in SAS, SQL and Unix. . Experience with programming language 5+ years in Python (PySpark is a plus) . Experience working with large data sets and relational database . Experience working with mortgage or consumer credit risk models, prepayment models and severity models . Experience with competing-risk hazard models, transition models, loss forecasting and stress testing . Experience in data science, machine learning and related technologies . Steadfast curiosity about the housing and mortgage market . Strong technical skills on data analytics, statistics, econometrics and data science. . Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple, easily understood terms. . 5+ years of data analysis experience, with a combination of business and technical skills - SAS, SQL, Python, R, Tableau or MicroStrategy. (Knowledge of Alteryx, Python and Machine Learning a plus) . Ability and willingness to tackle complex projects and find practical solutions . Flexible and adaptable, capable of working effectively in a fluid and evolving business and regulatory environment . Ability to self-teach new technical skills on need-to-know basis . Ability to develop mutually beneficial relationships inside and outside of the department . Flexible and adaptable, capable of multi-tasking effectively in a highly efficient environment . Curiosity not just about data, but also about the business . Ability to collaborate with people from a diverse set of backgrounds . SQL . Python or SAS . Analytics . Data Science/Scientist/Statistics or statistical . Tableau and MicroStrategy is plus . Extract Data: Flake, NoSQL . They are not on Bigdata platform and not looking for Data Modeler. As an equal opportunity employer, ICONMA prides itself on creating an employment environment that supports and encourages the abilities of all persons regardless of race, color, gender, age, sexual orientation, citizenship, or disability.

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