Mortgage Analytics Associate: RMBS & Data Modeling

National Life Group; New York (NY); On-site; USD 94,000 - 138,000; Full time

Benefits offered by this job

Benefits start day one

401(k) eligibility

Job summary

National Life Group is seeking an Associate, Mortgage Analytics to support a rapidly growing residential mortgage platform spanning whole loans and RMBS. The role emphasizes fluency in mortgage risk, prepayment analytics, and loan characteristics, with a strong technical foundation in Python, SQL, and Databricks.

You will work with analysts, traders, portfolio managers, and the Investment Committee to drive data-driven decisions, own data pipelines, and continually improve analytics tooling.

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.
• A solid grasp of mortgage analytics and prepayment modeling systems (Aladdin, Intex, Bloomberg, etc.).

Responsibilities

• Build and maintain the models used to price residential whole loans and RMBS and run their cash flows, updating assumptions as rates and borrower behavior change.
• Crack and clean bid tapes and loan-level data, price pools, and prepare memos for Transaction Committees overseeing whole loan trading activity.
• Evaluate securitization vs. whole loan markets, and quantify both prepayment and credit risk.
• Evaluate portfolio data and develop repeatable institutional analytics tracking portfolio performance.
• Model prepay and default behavior, develop market comparables and benchmarks, and present performance data to portfolio managers and Investment Committee.
• Support servicing oversight by converting raw servicing data into clear takeaways on servicer performance and loan-level exceptions.
• Own the data pipelines and tooling behind the analytics, including Databricks, Python, and SQL, with a focus on continual improvement.
• Reconcile loan data across systems and work with Operations and Transaction Management to resolve.
• Provide ad hoc analysis and support for trading and portfolio management functions.
• All other duties as assigned.

Skills

Python

SQL

Databricks

Mortgage analytics

Prepayment modeling

Education

Quantitative degree or equivalent

Tools

Aladdin

Intex

Bloomberg

Job description

National Life Group is seeking an Associate, Mortgage Analytics to support a rapidly growing residential mortgage platform spanning whole loans and RMBS. The role emphasizes fluency in mortgage risk, prepayment analytics, and loan characteristics, with a strong technical foundation in Python, SQL, and Databricks.

You will work with analysts, traders, portfolio managers, and the Investment Committee to drive data-driven decisions, own data pipelines, and continually improve analytics tooling.