Mortgage Domain SME

Q1 Technologies, Inc

Westlake Village, CA

JOB DETAILS
SKILLS
Best Practices, Credit Risk, Data Analysis, Data Entry, Data Modeling, Data Quality, Data Sets, Dimensional Modeling, Identify Issues, JSON, LifeTime Value (LTV), Loan Origination, Metrics, Model Validation, Mortgage, Mortgage Insurance, Mortgage Lending, Past Due Accounts, Performance Modeling, Performance Tuning/Optimization, Risk, Risk Modeling, SQL (Structured Query Language), Secondary Markets, Snowflake Schema, Star Schema, Trend Analysis, Underwriting, Use Cases, XML (EXtensible Markup Language)
LOCATION
Westlake Village, CA
POSTED
30+ days ago
Job Title: Mortgage Domain SME
Duration- Fulltime Permanent
Location: Westlake Village, CA (Onsite From Day 1)
Job Description:
Mortgage Domain SME

Must Have Technical/Functional Skills
The associate must have knowledge on Mortgage Insurance
Mandatory: Mortgage associates experienced in Servicing domain specifically Active ,Default and Secondary Market + MISMO to be considered for the role

Requirements for "MISMO-certified resources are best interpreted as a need for strong hands-on expertise in MISMO standards (LDD, XML schemas, servicing data mappings), which can be effectively delivered through experienced domain and data professionals, supplemented by a small number of certified or certification-track SMEs for compliance.

" Strong knowledge of the mortgage loan lifecycle and mortgage data
" Hands on experience with MISMO standards and data mappings
" Expertise in dimensional and analytical data modeling
" Advanced SQL skills for large, complex datasets
" Proven experience working in Snowflake (data modeling, performance tuning)
" Experience supporting analytics and modeling use cases (risk, performance, or credit)
" Strong focus on data quality, governance, and documentation
Roles & Responsibilities
(Mortgage | MISMO | Snowflake)
" Analyze mortgage data across the full loan lifecycle (origination, underwriting, closing, servicing, and secondary market)
" Own alignment of enterprise mortgage data to MISMO standards, logical data models, and industry best practices
" Define and maintain data mappings from LOS, servicing, credit, and investor systems to MISMO compliant structures
" Design and maintain enterprise scale analytical and dimensional data models (star/snowflake schemas) in Snowflake
" Translate complex MISMO XML/JSON structures into performant, analytics ready relational data models
" Develop, optimize, and review advanced SQL for large scale mortgage datasets; ensure performance and maintainability
" Leverage Snowflake capabilities (clustering, secure views, CTEs, performance tuning) to support scalable analytics and modeling workloads
" Perform exploratory data analysis to identify data quality issues, emerging portfolio trends, and model impacting risks
" Develop and curate mortgage specific metrics and features (e.g., LTV, DTI, delinquency indicators) for analytics and modeling use cases
" Support credit risk, prepayment, and performance models by validating data inputs and ensuring ongoing data readiness
" Define and implement data quality controls aligned with MISMO business rules, investor requirements, and regulatory expectations
" Document data models, data definitions, and SQL logic to support governance, auditability, and reuse.

About the Company

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Q1 Technologies, Inc

Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.

Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.

COMPANY SIZE
500 to 999 employees
INDUSTRY
Computer/IT Services
FOUNDED
1990
WEBSITE
http://q1tech.com/