Global Banking & Markets -Dallas- Associate, Loan Management & Due Diligence - 10281019
About The Position
This role supports the trading desk through all stages of potential non-performing, re-performing, and new origination/forward flow bids (NPL/RPL/New Origination). Responsibilities include evaluating pool and bid data, normalizing and loading loan-level data into internal databases, analyzing and stratifying pools, determining appropriate modeling assumptions, running analytics, and producing bid packets and investment committee memoranda. The role also involves monitoring month-over-month portfolio changes and identifying key drivers across residential mortgage whole-loan and warehouse positions for monthly marking. Additionally, it requires producing detailed monthly reports on P&L, returns, cash flows, and collateral performance, delivering qualitative and quantitative analysis, and recommending actionable strategies. Collaboration with internal teams (Data Management, Operations, Technology, Controllers, Risk, Modeling) and external parties (portfolio servicers and managers, transaction managers, due-diligence teams) is crucial for data quality, accurate cash processing, validated modeling assumptions, and ensuring post-bid activity data is accurately reflected. Periodic model back-testing and recommending modeling-assumption adjustments are also key functions.
Requirements
- Master’s degree (U.S. or foreign equivalent) in Quantitative Finance, Finance, Accounting, Economics, Business Analytics, or related field and one (1) year of experience in job offered or a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Quantitative Finance, Finance, Accounting, Economics, Business Analytics, or related field and three (3) years of experience in job offered or a related role.
- Executing mortgage cashflow models and explaining drivers of different mortgage valuations.
- Providing feedback to modeling team to enhance the accuracy and predictability of the model.
- Building and maintaining cash flow, prepayment, default, and loss-severity models for residential mortgage whole-loan portfolios.
- Periodic back-testing of model outputs against actual collateral performance and recommending assumption adjustments.
- Monitoring interest rate risk exposure to the mortgage portfolio and allocating hedge P&L on loan level, based on different loan characteristics.
- Reconciling post-bid settlement data by collaborating with transaction managers, due-diligence teams, and internal systems (trade capture, loan accounting, data management platforms) to ensure accuracy.
- Working with Structured Query Language (SQL) to access and analyze large amounts of data.
- Programming languages, including Python or R, to automate different processes and create reports.
- Communicating portfolio analysis results and strategic recommendations to clients and internal stakeholders through presentations and reports.
Responsibilities
- Support the trading desk through all stages of potential non-performing, re-performing, and new origination/forward flow bids (NPL/RPL/New Origination).
- Evaluate pool and bid data, normalize and load loan-level data into internal databases.
- Analyze and stratify pools, determine appropriate modeling assumptions, run analytics, and produce bid packets and investment committee memoranda.
- Monitor month-over-month portfolio changes and identify key drivers across residential mortgage whole-loan and warehouse positions.
- Collaborate with the trading desk on the monthly marking of portfolio positions.
- Produce detailed monthly reports on Profit and Loss (P&L), returns, cash flows, and collateral performance across multiple loan portfolios.
- Deliver qualitative and quantitative analysis on key drivers of portfolio performance.
- Recommend actionable strategies to asset managers and the trading desk.
- Collaborate with transaction managers and due-diligence teams to ensure accurate reflection of post-bid activity data in internal systems.
- Work closely with internal teams (Data Management, Operations, Technology, Controllers, Risk, Modeling) to ensure data quality, accurate cash processing, and validated modeling assumptions.
- Engage with external portfolio servicers and managers to understand business plans, track performance against projections, and develop a nuanced understanding of collateral characteristics.
- Conduct periodic model back-testing on the existing portfolio.
- Recommend modeling-assumption adjustments to the trading desk.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
