Mortgage Analytics Associate: Data-Driven Modeling

National Life Group; Addison (TX); On-site; USD 94,000 - 138,000; Full time

Benefits offered by this job

Benefits start day one

401(k) eligibility

Paid time off

Job summary

National Life Group, Addison, TX, is seeking an Associate, Mortgage Analytics to support a growing residential platform of whole loans and RMBS. You will analyze cash flows, prepayment risk, and loan characteristics, collaborating with analysts, traders, and portfolio managers to drive informed investment decisions.

The role requires fluent mortgage analytics, strong Python/SQL skills, and experience with Databricks. Office presence is four days per week with core onsite days.

Qualifications

• A quantitative degree or equivalent work experience.
• 2-5 years experience in mortgage analytics or a related field.
• Strong understanding of mortgage cash flows, prepayment modeling, and pricing of residential mortgage risk in both whole loan and securitized form.
• Comfortable working with servicing and remittance data.
• Strong Python and SQL skills and experience, plus hands-on work in Databricks or a similar platform.
• Solid grasp of mortgage analytics and prepayment modeling systems (Aladdin, Intex, Bloomberg, etc.).

Responsibilities

• Build and maintain models to price residential whole loans and RMBS and run cash flows.
• Crack and clean bid tapes and loan-level data, price pools, and prepare memos for committees.
• Evaluate securitization vs. whole loan markets and quantify prepayment and credit risk.
• Develop analytics tracking portfolio performance and report to Investment Committee.
• Own data pipelines and tooling behind analytics, including Databricks, Python, and SQL.

Skills

Mortgage analytics

Python

SQL

Education

Quantitative degree or equivalent

Tools

Databricks

Aladdin

Intex

Bloomberg

Job description

National Life Group, Addison, TX, is seeking an Associate, Mortgage Analytics to support a growing residential platform of whole loans and RMBS. You will analyze cash flows, prepayment risk, and loan characteristics, collaborating with analysts, traders, and portfolio managers to drive informed investment decisions.

The role requires fluent mortgage analytics, strong Python/SQL skills, and experience with Databricks. Office presence is four days per week with core onsite days.