Chief Credit Officer

Taekus Inc

Job Overview

Location

United States

Job Type

Full-time

Full Job Description

📋 Description

• Own the end-to-end credit strategy and underwriting framework for Taekus’s premium banking and rewards ecosystem, ensuring alignment with company growth objectives and risk tolerance.
• Design, build, and scale credit decisioning infrastructure and risk models that enable automated, data-driven underwriting across high-volume transaction environments.
• Monitor, analyze, and optimize portfolio performance metrics including approval rates, delinquencies, and credit losses to maintain disciplined risk standards while driving scalable growth.
• Partner directly with product, data, and finance teams to integrate credit systems into core banking products, rewards infrastructure, and partner integrations.
• Launch and manage new credit products within the Taekus ecosystem, from concept through execution, ensuring they align with the premium customer experience and regulatory requirements.
• Serve as the primary liaison with sponsor banks and compliance partners to ensure all credit programs adhere to applicable financial regulations and industry standards.
• Build, lead, and develop the credit risk and underwriting organization, including hiring, mentoring, and setting performance expectations for team members.
• Leverage credit bureau data, alternative underwriting signals, and proprietary analytics to enhance model accuracy and expand credit access for qualified customers without compromising risk.
• Architect credit systems that support $3B+ in annual transaction volume, ensuring scalability, reliability, and real-time decisioning capabilities.
• Translate business growth goals into technical credit architecture, balancing innovation with regulatory compliance and portfolio stability.
• Collaborate with founders and executive leadership to define long-term credit strategy as a core pillar of Taekus’s financial ecosystem.
• Drive automation initiatives to reduce manual underwriting processes, improve customer approval speeds, and increase operational efficiency across credit lifecycle stages.
• Establish performance benchmarks and reporting frameworks to provide transparent insights into credit portfolio health and risk exposure to internal and external stakeholders.
• Maintain deep awareness of evolving fintech and consumer credit trends to position Taekus at the forefront of premium banking innovation.
• Ensure all credit systems and practices are designed with customer-centricity, regulatory integrity, and operational scalability as foundational principles.
• Act as the principal authority on credit risk within the organization, advising on product design, pricing, and customer segmentation strategies informed by credit performance data.
• Lead cross-functional initiatives to integrate credit offerings with travel rewards, payment rails, and premium banking features to create a cohesive, high-value customer ecosystem.
• Champion a culture of data-driven decision-making, accountability, and continuous improvement within the credit risk and underwriting function.

🎯 Requirements

• 10+ years in consumer credit, underwriting, or credit risk leadership
• Experience building or scaling credit programs at a fintech, card issuer, or modern bank
• Strong background in credit modeling, underwriting strategy, and portfolio management
• Experience working with credit bureau data, alternative underwriting signals, and automated decisioning
• Builder mindset with the ability to operate in a fast-moving fintech environment
• Strong product and data partnership instincts

🏖️ Benefits

• Competitive salary and stock option plan
• Medical, Dental, and Vision insurance
• 401(k) plan with 5% company match
• Flexible vacation policy
• Fully remote work environment

Skills & Technologies

Remote

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Taekus Inc

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About Taekus Inc

Taekus Inc provides a cloud platform that automates data discovery, classification, and governance across enterprise SaaS and cloud environments. The software continuously maps data stores, identifies sensitive information, applies policy controls, and generates compliance evidence for frameworks such as GDPR, CCPA, and HIPAA. Machine-learning models detect new data assets and anomalies, enabling security teams to reduce manual audits, respond to incidents faster, and demonstrate regulatory posture to auditors and stakeholders through real-time dashboards and reports.

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