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Company Name:
Approximate Salary:

Aliso Viejo, California
United States
Position type:
Experience level:
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Architect, Data Mining


Job ID 2017-6096

Job Locations
US-CA-Aliso Viejo
Position Category Information Technology

Company Carrington Mortgage Holdings, LLC

Position Type Regular


FOUNDED IN 2003, Carrington has evolved from a mortgage credit asset manager into a vertically-integrated financial services company that covers virtually every aspect of the single family residential real estate transaction, including investment in U.S. real estate and mortgage markets, loan origination and servicing, asset management and property preservation, real estate sales and rental, and title and escrow services. Carrington has built the infrastructure necessary to maximize value during any market cycle. We are currently hiring a Data Mining Architect in our Aliso Viejo Ca location.

Consider Carrington Today!



Responsible for data architect/modeling, building machine learning models, and taking them from research to production. Leverages data to drive both operational and tactical level decisions, making recommendations regarding business solutions derived from data analysis to senior management in IT and the business units. Creates analyses that translate data into actionable business decisions. Perform all duties in accordance with the Company's policies and procedures, all US state and federal laws and regulations, wherein the company operates.


• Leverages data to drive both operational and tactical level decisions; make recommendations regarding business solutions derived from data analysis to senior management in IT and the business units.
• Work closely with the business, data integration and business intelligence teams to generate data solutions and approaches.
• Provide actionable insights and/or innovative data products for solving some of the most complex business situations.
• Design and build new analytical data models for new insights that can improve our business in key areas including Loan Origination and Marketing.
• Create data visualizations and communicate data insights.
• Identify important questions and answer them with data in conjunction with business unit subject matter experts.
• Drive the collection of new data and the refinement of existing data sources.
• Identify new data sources/patterns that add significant lift to predictive modeling capabilities.

Create analyses that tell a story focused on insights, translating data into actionable steps.
• Assist in design and development of enterprise data warehouse components.


• Expert data mining and visualization skills and a genuine passion for working with data.

Professional experience with a deep understanding of machine learning concepts
• Expert knowledge of a scientific computing language (such as R or SAS)
• Expert working knowledge of T-SQL programming and scripting.
• Strong analytical, problem solving, collaboration and technical skills
• Strong experience with data visualization tools such as SSRS, Excel etc.
• Experience with Microsoft OLAP (SSAS) a plus
• Experience with ETL tools - Microsoft SSIS a plus
• Experience with Azure Machine Learning a plus
• In-depth knowledge of Software Development Life Cycle (SDLC).
• Understanding of data privacy legislation and standards such as GLBA, OFAC, MISMO, et al.



• Bachelor's Degree in a quantitative field (e.g., Economics, Statistics, Physics, Engineering, CS, Mathematics) or equivalent experience.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are
not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of employees assigned to this job.
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• 4+ years of experience performing quantitative analysis, predictive analytics, mathematical modeling, and/or machine learning
• 4+ years experience with SQL/T-SQL.
• 4+ years experience with database management systems - MS SQL.

Carrington is an Equal Opportunity Employer and does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, or on any other basis prohibited by law.