Product Manager

RiskSpan

Agency MBS Product Manager at RiskSpan overseeing product strategy and client support. Leading development of agency prepayment analytics and extending AI-powered features.

Posted 7/22/2026full-timeRosslyn-Arlington • Virginia • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Agency MBS product management, including prepayment analysis and market trends, while effectively translating client feedback into actionable product requirements. Proficient in data analysis using SQL and Snowflake to support product development and client engagement.

Highest-signal resume keywords

Agency MBS ExpertisePrepayment AnalysisSQL ProficiencyClient Relationship ManagementStructured Finance Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prepayment Analysis ConceptsMBS AnalyticsData QueryingFinancial Technology KnowledgeMarket Trend Analysis

Soft Skills

CollaborationClient CommunicationFeedback Translation

Tools & Technologies

SQLSnowflake

Industry Keywords

Agency MBSFannie MaeFreddie MacGinnie MaeTBACPRS-CurvesRefi IncentiveBurnoutSeasoning

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own and contribute to the agency MBS product roadmap
Develop deep expertise in RiskSpan's agency prepayment models, MBS analytics, and platform features
Translate client feedback and market trends into structured product requirements
Monitor Agency MBS market developments to identify product opportunities
Manage and extend AI-powered product features
Serve as the primary point of contact for clients with Agency MBS questions
Represent the client and product perspective across internal teams
Collaborate with Customer Success for smooth handoffs and healthy relationships

Requirements

What you’ll need

2-4 years of experience, including 1-2 years in structured finance, fixed income, mortgage analytics, or financial technology
Working knowledge of agency MBS (Fannie Mae, Freddie Mac, Ginnie Mae pools, TBAs, 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

Benefits

Comp & perks

Hybrid work arrangement (3x/week in office)
Supportive team environment
Opportunities for professional development
AI-powered product features to work with