Product Manager Agency MBS

Description

About RiskSpan

RiskSpan is a leading source of analytics, modeling, data and risk management solutions for the Consumer and Institutional Finance industries. We solve business problems for clients such as banks, mortgage-backed and asset-backed securities issuers, equity and fixed-income portfolio managers, servicers, and regulators that require our expertise in the market risk, credit risk, operational risk, and information technology domains.

Role Summary

We are looking for an Agency MBS Product Manager to drive own the product roadmap and strategy for our agency prepayment analytics and modeling capabilities, while also serving as a key client-facing resource. This role combines product management and client support: you will define requirements, prioritize the backlog, and drive feature development in close partnership with Engineering and our Head of Analytics, while also ensuring clients get fast, knowledgeable answers to their questions. A meaningful part of this role involves our AI-powered product features -- RiskSpan has already built AI capabilities into the platform and this person will help shape and extend them. You will also assist the Sales Engineering team with demos and trials, particularly for the MBS product.

What You'll Do

Product Management

• Own Contirbute to the agency MBS product roadmap -- define priorities, write requirements, and drive features from concept to launch.

• Develop deep expertise in RiskSpan's agency prepayment models, MBS analytics, and platform features.

• Translate client feedback and market trends into structured product requirements for Engineering.

• Monitor Agency MBS market developments (GSE policy changes, prepayment trends, rate environment) and identify product opportunities.

• Take an active role in managing and extending RiskSpan's existing AI-powered product features,-- including tools built on Claude and Claude Code,-- and help define the roadmap for the next generation of AI capabilities.

• Develop content to support marketing of the MBS product -- including use cases, one-pagers, blog posts, and demo narratives -- in partnership with Marketing and Sales.

Client Support & Onboarding

• Serve as thego-to subject matter expertprimary point of contact for clients with Agency MBS questions on the RiskSpan Platform.

• Handle client questions directly, partnering with the CSM on relationship management and routing technical issues to Engineering or other SMEs when needed

• Provide client support as a subject matter escalation point across RiskSpan's broader analytical product suite as needed.

• Help test and train AI-powered support tools designed to handle common Agency MBS questions,-- contributing your domain expertise to improve automated responses and escalation logic.

• Triage and route complex issues to Engineering or other SMEs as needed.

Sales & Cross-Functional Collaboration

• Represent the client and product perspective acrossinternal teams likeEngineering, Quantitative Research, Customer Success, and Sales.

• Collaborate with Customer Success to ensure smooth handoffs, healthy client relationships, and closed-loop feedback from post-sale to product.

• Support Sales Engineers on demos, trials, and prospect evaluations -- particularly for the MBS product.

• Provide dedicated support coverage that frees Customer Success to focus on pipeline and expansion.

• Track client usage patterns and surface insights Partner with Sales to understand client usage patterns andthat inform roadmap priorities and ultimatelysupport revenue and renewal conversations.

• Develop content to support marketing of the MBS product, including use cases, one-pagers, blog posts, and demo narratives, in partnership with Marketing and Sales.

What you bring

• 2-4 years of experience, including1-2 years of experience in structured finance, fixed income, mortgage analytics, or financial technology.

• Working knowledge of agency MBS (Fannie Mae, Freddie Mac, Ginnie Mae pools, TBAs, and prepayment dynamics).

• Solid understanding of prepayment analysis concepts: CPR, S-curves, refi incentive, SATO, burnout, and seasoning.

• Comfortable querying and analyzing data in SQL and Snowflake.