LLC - 3.8

Edgewater, NJ Job Details $250,000 - $350,000 a year 19 hours ago Qualifications Commercial banking expertise Stress testing simulations Underwriting Commercial loans Credit risk assessment Banking analysis in risk and credit Bachelor's degree Financial regulatory audit coordination Portfolio stress testing strategy Model evaluation Portfolio management in underwriting Senior leadership Full Job Description Chief Credit Risk Officer (Fintech & Commercial Banking)

Location:

Bergen County, NJ 4 days onsite

Salary:

$300,000-350,000 plus bonus and equity

The Opportunity:

We are seeking a seasoned, forward-thinking Chief Credit Risk Officer to serve as the strategic executive leading all aspects of credit risk management across our enterprise. Reporting directly to the Chief Risk and Compliance Officer, this leader will own the end-to-end credit risk framework, establish enterprise risk appetite, and ensure rigorous credit governance as we scale our lending products, commercial portfolios, and tech-driven partner ecosystems. This executive seat demands a unique blend of traditional bank credit stewardship (CRE, C&I, SBA, Structured Finance) and modern digital financial infrastructure (BaaS, marketplace lending, payments, embedded finance). You will oversee underwriting standards, CECL allowances, concentration limits, and automated lending platforms while fostering a data-first, risk-aware culture.

Executive Responsibilities Strategic Leadership & Governance Enterprise Risk Strategy:

Define and execute a scalable credit risk strategy aligned with rapid commercial growth and regulatory mandates.

Governance Leadership:

Chair/Co-chair the Management Credit and Allowance Committees; present regularly to senior executive leadership and the Board of Directors on portfolio health and market trends.

Risk Appetite Framework:

Maintain and enhance enterprise-wide credit policies, concentration limits, stress testing, and early-warning frameworks.

Portfolio Management, CECL & Settlement Risk Multi-Vertical Oversight:

Direct credit policy and portfolio performance across Commercial Banking (CRE, C&I, SBA), Structured Finance, Marketplace Lending, and Banking-as-a-Service (BaaS) partnerships.

Reserving & Modeling:

Oversee CECL processes, mark-to-market valuation reserves, and model output assumptions, applying qualitative overlays when necessary.

Settlement & Payment Risk:

Establish limits and loss reserves for settlement exposure tied to high-volume payment rails (ACH, Acquiring, funding models).

Portfolio Analytics:

Lead vintage analysis, pool-level/single-name reviews, and risk-adjusted return metrics to identify emerging macro or portfolio-level risks.

Technology, Agentic AI & Innovation Automated Risk Controls:

Partner with Product, Operations, and Engineering teams to integrate credit risk controls directly into modern API frameworks and automated underwriting engines.

AI & Next-Gen Tooling:

Leverage Agentic AI and advanced machine learning models to streamline credit processes, boost underwriting efficiency, and enhance real-time risk identification.

Regulatory & Compliance Management Regulatory Relations:

Maintain strong working relationships with primary regulators (OCC, FDIC, Federal Reserve) and lead all credit-specific bank examinations and audits.

Model Risk Management:

Oversee Model Risk Management (MRM) practices in accordance with SR 11-7 / regulatory guidance.

Compliance Alignment:

Partner closely with the enterprise compliance organization to ensure seamless alignment across Fair Lending, regulatory laws, and credit operations.

The Ideal Executive Profile Required Qualifications:

Extensive credit risk leadership within banking, commercial lending, fintech, or specialized financial services. Comprehensive domain knowledge across commercial/consumer underwriting, portfolio management, loss mitigation, and complex CECL frameworks. Proven success interacting directly with regulatory bodies (OCC, FDIC, Federal Reserve) and external audit/rating agencies. Hands-on familiarity with credit risk models, stress testing methodologies, and model validation standards. Bachelor's degree in Finance, Economics, Quantitative Analysis, or a related field.

Preferred Qualifications & Attributes:

Experience at a digital lender, fintech bank, or BaaS platform navigating partner/marketplace lending models. MBA, Master's, or PhD in a quantitative discipline; professional certifications such as FRM, PRM, or CFA. Demonstrated history of maintaining sound, institutional-grade risk controls during periods of accelerated asset growth. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of

Ontario, Canada:

Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries (\"we,\" \"our,\" or \"Vaco by Highspring\") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (https://www.highspring.com/ai-use-notices/). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. 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