F

FICO

Predictive credit risk scoring & analytics

Technical Pre-Sales Consultant

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$117.6k - $184.8k /yr

About the Job

Requirements

  • A degree in Computer Science, Engineering, or a related field is required.
  • Experience in a pre-sales consulting role, or post-sales consulting with a strong sales aptitude, is required.
  • A track record of crafting solutions that materially benefit clients is required.
  • The ability to present effectively to technical stakeholders and C-suite executives is required.
  • Strong written communication skills are required.
  • The ability to solve business problems by developing solution concepts is required.
  • The ability to work cross-functionally as part of a collaborative solution team is required.

Responsibilities

  • Lead discovery sessions to uncover clients' pain points, strategic priorities, and growth ambitions, and help design appropriate FICO solutions.
  • Build and deliver customized product demonstrations connected to each client's business needs.
  • Collaborate with product teams to architect solutions ranging from proof of concepts to full proposals.
  • Own RFI and RFP responses, pricing scenarios, ROI analyses, and competition-differentiating sales strategies.
  • Represent FICO at client workshops and industry conferences.
  • Provide ongoing product education to the sales team.

Desired Qualifications

  • Experience with Originations, including credit application processing, decisioning workflows, or onboarding.
  • Experience with Customer Management, including portfolio management, credit line strategies, or lifecycle decisioning.
  • Experience with Fraud, including detection, prevention, case management, or authentication.
  • Experience working inside a bank, lender, or fintech in one of these domains.
  • Flexibility to travel 10–25% of the time.

About the Company

FICO

Predictive credit risk scoring & analytics

FICO provides data analytics and decision-management tools for credit risk and lending, with the FICO score as its flagship measure of consumer credit risk used by lenders. The score is calculated from a user’s credit report data to predict loan repayment likelihood, and FICO software applies analytics and decision rules to guide loan approvals, pricing, fraud detection, and account management. Unlike many competitors, FICO combines a widely adopted score with an end-to-end suite of predictive analytics and decision-management tools that cover the full lending lifecycle. Its goal is to help financial institutions make better lending and risk decisions, prevent fraud, and optimize customer relationships through data-driven, rules-based systems.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Jose, CA
Founded
1956

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