Associate, Mortgage Analytics

Come join one of America’s fastest-growing insurance companies. Since 1848, National Life Group has aimed to keep our promises, providing families with stability in good times and in bad. Throughout that history, we have provided peace of mind to those families as they plan their futures.

NLG Capital, the investment management company of NLG, manages approximately $40+ billion in AUM. Our purpose is simple - to allow NLG to keep its promises. How we do this - an obsessive focus on delivering investment results. We drive results through a rigorous but collaborative investment process, and we hold ourselves to the highest of standards, both as investors and teammates.

While our process is based on rigor, our culture is based on our guiding principles:
Meritocracy, Uncompromising Transparency, Intellectual Honesty, Performance Driven Learning, Relentless Pursuit of Excellence. These principles serve as the foundation of our team. They govern the way we conduct ourselves, how we interact with teammates and how we approach every investment decision. We act with the integrity and humility required to make the investment decision that is right for the firm, and ultimately our policyholders.

Our culture has been deliberately built to foster curiosity and provide opportunities to learn and grow, both as people and investors. The flat and collaborative nature of our team promotes an atmosphere where the best ideas are continually expressed and rewarded. Our pursuit of excellence is unwavering.

Please note that we do not offer visa sponsorship for this position.

The Associate, Mortgage Analytics is responsible for residential whole loan and RMBS analytics used for trading, portfolio management, asset management, and servicing oversight. This is a hands-on role supporting a rapidly growing $5bn+ AUM residential mortgage platform spanning residential whole loans and RMBS.

The Associate works closely with analysts, traders, portfolio managers, and the Investment Committee, who rely on the role’s analytical output to drive the decision process. The successful candidate is fluent in residential mortgage risk, prepayment analytics, loan credit characteristics, and the plumbing of the mortgage market, including how loans are originated, packaged, sold, and serviced.

This is a technical role requiring fluency in Python, SQL, and a data platform such as Databricks.

This position currently offers an onsite work schedule, with the expectation that you will be in the office four (4) days per week during onsite core days. Our current onsite core days are Monday, Tuesday, Wednesday, and Thursday. The work schedule type and core days are subject to change with advance notification and manager discretion.

• 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…