Mortgage Quantitative Analyst - Data that Drives Decisions

Brio Real Estate, a Blackstone Portfolio Company

Dallas (TX)

On-site

USD 90,000 - 120,000

Full time

6 days ago
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Job summary

Brio Real Estate, a Blackstone portfolio company, seeks a Mortgage Quantitative Analyst to support our data ecosystem by connecting technical and business teams and enabling day-to-day operations. You will partner with the trading desk to understand data needs, build queries, and deliver insights using Snowflake, Redshift, and SQL Server.

Ideal candidates have 3+ years of data analysis and SQL/Python experience, 2+ years in fintech or structured products, and a passion for loan-level data and

Qualifications

  • 3+ years of professional experience analyzing complex datasets and writing SQL, Python, or similar languages to automate reporting and analysis.
  • 2+ years of professional experience in fintech or structured products, working with loan-level information and understanding amortization, prepayment, default, and loss severity.
  • Experience with cloud data warehouses and optimizing queries for performance at scale.

Responsibilities

  • Play a central role in our data ecosystem, connecting technical and business functions and onboarding new datasets into the analytical framework.
  • Collaborate with trading desk to understand data needs and build queries to support analysis.
  • Leverage Snowflake, Amazon Redshift, and SQL Server to build scalable data solutions.

Skills

SQL
Python
Data analysis
Cross-functional collaboration

Tools

Snowflake
Amazon Redshift
SQL Server

Job description

Brio Real Estate, a Blackstone portfolio company, seeks a Mortgage Quantitative Analyst to support our data ecosystem by connecting technical and business teams and enabling day-to-day operations. You will partner with the trading desk to understand data needs, build queries, and deliver insights using Snowflake, Redshift, and SQL Server.

Ideal candidates have 3+ years of data analysis and SQL/Python experience, 2+ years in fintech or structured products, and a passion for loan-level data and

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