About this role
Senior Manager leading AI-driven transformation of underwriting at CSG, focusing on designing, implementing, and scaling AI-enabled underwriting processes, tools, and workflows to improve speed, consistency, and portfolio outcomes.
Key Responsibilities
- Define multi-year AI-enabled underwriting vision and roadmap
- Assess underwriting lifecycle and identify automation opportunities
- Design AI and rule-based decisioning frameworks
- Architect workflows using LLMs for document ingestion and analysis
- Partner with data science, engineering, and product teams to specify models and rules
Technical Overview
Role combines AI/ML workflow design, rule-based decisioning, and scalable architecture for underwriting. Involves LLM-based document ingestion, structured inputs, risk scoring, and explainable model governance across data science, engineering, and product teams.
Ideal Candidate
The ideal candidate is a senior underwriting transformation lead with 5+ years of experience in merchant underwriting or related risk domains, fluent in AI-enabled underwriting, rule engines, and GenAI/Large Language Models. They excel at cross-functional leadership, translating business goals into scalable AI-driven underwriting solutions.
Must-Have Skills
Bachelor’s degree in quantitative or business fieldor equivalent experience5+ years of experience in Merchant UnderwritingCommercial Credit RiskCounterparty Risk Managementor closely related domains in paymentsacquiringfintechor lending.Experience operating at a level above individual underwriting managementwith responsibility for frameworkstoolsand strategies used by multiple teams or regions.Hands on familiarity with risk/decisioning platforms (e.g.rule enginescredit decisioning systemsworkflow/orchestration tools) and how they integrate with upstream application flows and downstream servicing.Experience working alongside data science/ML teams: defining featuressuccess metricsand evaluation criteria for models used in underwriting or risk monitoring.Experience implementing or significantly enhancing an automated underwriting or decisioning platform in a paymentsfintechacquiringor lending environment.Familiarity with common payment processing stacks (gatewaysacquirersprocessors)chargeback patternsand high risk merchant categories.Exposure to fraud and transaction risk toolsand understanding of how to integrate fraud insights into credit/underwriting strategies.Practical experience designing and deploying AI or ML supported workflows in a production risk or underwriting context.Understanding of Generative AI and LLM capabilities and limitationsincluding prompt designretrieval augmented generationsummarizationand classification of unstructured documents.Ability to design end to end GenAI enabled processes (e.g.document ingestion extraction summarization risk scoring human review) and measure their impact on efficiency and quality.Familiarity with model governanceexplainabilityand control frameworks to ensure AI driven decisions remain transparentauditableand policy aligned.Strong product thinking mindset: user centric approach to designing tools and workflows that underwriters and stakeholders actually adopt and value.Excellent written and verbal communication skillswith the ability to clearly articulate proposed changestrade offsand expected outcomes to technical and non technical audiences.
Nice-to-Have Skills
CPCS or CPMSM certification is a plusas is experience with CAQH SanctionsTrack℠.CAQH ProView masteryNiche Experience in radiologyimagingor high-growth outpatient provider networksRemote/hybrid work experience
Tools & Platforms
CAQH ProViewCAQH SanctionsTrackCredit decisioning systems
Required Skills
Bachelor’s degree in quantitative or business field5+ years in Merchant Underwriting/Commercial Credit Risk/Counterparty Risk; experience with risk/decisioning platforms; AI/ML workflows; GenAI/LLM; document ingestion; scorecards; policy rules; model governance; cross-functional leadership; data science collaboration; fraud insights; familiarity with payment ecosystems; governance and explainability
Hard Skills
LLMsLarge Language ModelsGenerative AIGenAIretrieval augmented generationdocument ingestionanalysisrisk assessmentsrule enginesdecisioning platformsscorecardspolicy ruleshuman in the loopdata sciencemachine learningAI/ML workflowsAI transformationunderwriting platformsautomationworkflowspilot rolloutsKPIsoperational KPIspolicy governance
Soft Skills
leadershipcommunicationstakeholder managementproblem-solvingcollaborationchange managementstrategic thinkingbusiness acumenpresentations
Keywords for Your Resume
senior manager underwritingai transformationunderwritingrisk transformationai enabled underwritingllmsgenairetrieval augmented generationdocument ingestionrisk assessmentsscorecardspolicy ruleshuman in the loopdecisioning platformrule enginesfraud insightsdata sciencemachine learningproduction riskgovernanceexplainabilityregulatory compliancekpisoperational KPIspayments fintech underwritingmulti-year roadmappilot programsrolloutsdecisioning platformscredit riskfraud
Deal Breakers
Lack of experience in underwriting or risk transformation, No exposure to AI/ML in production contexts, Inability to work in a remote, US-based environment
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