About this opportunity
Spartan Capital lists this Credit Risk Manager opportunity in township of hazlet, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job description:
Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.
Spartan Capital is a fast-growing fintech company dedicated to providing innovative financial solutions to small- and medium-sized businesses (SMBs). Driven by deep credit expertise, Spartan utilizes proprietary technology and disciplined underwriting along with longstanding relationships with customers and industry participants to support SMBs nationwide for the past 10 years. We have been disrupting the Traditional Banking System by proving SMB’s with Revenue Based Financing and loans so they can growth and scale their operations.
We are a rapidly growing financial company in the Fintech (Alternative Financing) industry. We are looking for candidates with a background in either Accounting, Finance, Business or Math and training in Underwriting and Credit Risk Analysis.
Role Summary:
Spartan Capital is seeking a Credit Risk Manager with deep expertise in Commercial or Small Business Lending to drive credit strategy development, portfolio management, and risk optimization across products such as Small Business Loans and Lines of Credit (LOC.
This role requires deep analytical expertise, strong business acumen, and the ability to translate data-driven insights into effective risk strategies that balance growth and profitability within client risk appetite. Additionally, it requires strong consultative and relationship-building skills with ability to influence senior stakeholders.
What You'll Do
Hold the credit team accountable to the underwriting standard - set decision quality expectations, review portfolio performance, and ensure the team executes with consistency and rigor.
Revise and own the existing credit underwriting standard: what signals support which limits, what triggers exception treatment, and what the escalation path is.
Build backtest infrastructure - run proposed rule changes against historical application data before deploying, including false positive analysis on approved accounts.
Partner with Data Science on credit model inputs, validation, and the transition from manual review to automated decisioning.
Lead and develop the credit team - set expectations, provide feedback, and build analytical capability.
Deliver portfolio analytics to leadership - delinquency rates, cohort performance, limit utilization, and exception trends.
Coordinate with Fraud Operations on application fraud signals that overlap with underwriting decisions.
Partner with senior leadership on credit policy governance - ensuring credit policy changes go through the right review and sign-off process.
What We're Looking For
8+ years of credit risk experience.
3+ years of experience leading a credit team with a proven track record of designing operating models, not just managing existing ones.
Commercial Credit Expertise: Deep experience in business or commercial underwriting-setting credit limits, interpreting financial signals, and making independent credit decisions.
Risk & Bureau Tools: Hands-on experience with commercial credit bureaus (Clear, D&B, TLO, Lexis Nexis, Socure, Sentilink or equivalent) and end-to-end ownership of KYB, KYC processes.
Automation of Credit Risk Execution: Proficiency using Taktile, Alloy, Provenir, Oscilar, or other Credit Orchestration Engines.
Automation-Minded Philosophy: You view manual underwriting as a temporary state, actively track human-in-the-loop decision metrics, and systematically work to drive automation rates up.
Portfolio Analytics & Reporting: Proven capability in tracking key metrics like delinquency, cohort performance, and limit utilization, alongside strong written communication for clear exception documentation and executive updates.
Industry Context: Background in a fast-paced fintech, corporate card, MCA, Alternative Finance or SMB credit environment.
Bonus Qualifications: Experience contributing to automated credit decisioning engines;
proficiency in SQL or Snowflake for self-serve data analysis.
Key Responsibilities:
Design, implement, and validate credit risk strategies across the lifecycle (acquisition, underwriting, account management, exposure management, and collections).
Perform detailed portfolio analysis using internal data, bureau attributes, and alternative data to identify opportunities for growth, loss mitigation, and risk optimization.
Develop and enhance credit risk models and decision frameworks using advanced statistical and analytical techniques.
Deliver MIS reports, dashboards, and performance reviews to monitor portfolio trends, assess strategy effectiveness, and inform business decisions.
Collaborate with client stakeholders and cross-functional teams (Product, Finance, Operations, Compliance, Technology) to align credit strategies with business objectives.
Monitor regulatory and governance requirements, ensuring all strategies adhere to compliance and audit standards.
Drive innovation by leveraging new data sources, advanced analytics, and automation to strengthen credit risk capabilities.
Provide insights and recommendations to senior leadership on portfolio performance, emerging risks, and forward-looking strategies.
Build and nurture long-term client relationships by understanding business needs and positioning EXL’s credit risk solutions effectively.
Identify opportunities to expand engagements through cross-sell/up-sell of analytics, modeling, and risk consulting services.
Partner with business development teams to support proposal creation, client pitches, and delivery of value-driven outcomes.
Qualifications:
Bachelor’s degree in Business, Finance, Statistics, Mathematics, Engineering, or related field;
Master’s preferred.
6+ years of experience in credit risk strategy, credit analytics, or risk management within consulting, banking, or financial services.
Strong expertise in commercial lending or small business lending products (like Commercial Cards, Corporate Card Programs, Small Business Cards & Loans, Commercial Payments. Commercial Lines of Credit (LOC) - Secured / Unsecured) and credit lifecycle strategies.
Proficiency in SQL, Python / SAS (Tableau is a plus).
Solid background in data modeling, segmentation, regression, and statistical techniques for risk decisioning.
Ability to synthesize complex analysis into clear recommendations for senior management.
Strong communication, presentation, and stakeholder collaboration skills.
Knowledge of credit risk regulatory requirements, governance frameworks, and emerging trends in digital lending.
Preferred: Experience leveraging alternative data and innovative analytical approaches in credit strategy development.
Proven experience in managing client accounts with a track record of delivering measurable impact. xzgxqkn
Business development mindset with experience in proposal writing, solutioning, or contributing to revenue growth initiatives.
Pay:
$130,000.00 - $170,000.00 per year
Benefits:
401(k)
Dental insurance
Health insurance
Health savings account
Life insurance
Referral program
Relocation assistance
Retirement plan
Worksite address
township of hazlet, NJ, 07730, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.