Credit Risk & Business Analyst
Analytic Recruiting Inc. is looking for Credit Risk & Business Analyst in Convent Station, NJ.
This local job opportunity with ID 3708842389 is live since 2026-06-11 02:25:59.
Credit Risk Analyst
A leading financial institution is seeking a Credit Risk / Business Intelligence Analyst to support data-driven decision-making across its lending portfolios. This role blends quantitative analysis, portfolio monitoring, and business intelligence to strengthen credit strategy, underwriting quality, and overall risk management
- NO SPONSORSHIP
- REQUIRES EXPERT WITH SQL
- ONSITE 4 DAYS A WEEK in NJ or NYC office
- Salary to 130K
What You'll Do
- Analyze credit portfolio performance across consumer, small business, and commercial lending to identify trends, emerging risks, and opportunities for improved credit strategy.
- Develop and maintain dashboards, scorecards, and reporting tools that provide visibility into credit quality, delinquency trends, loss forecasting, and portfolio segmentation
- Build and optimize data pipelines that support scalable, high-quality credit risk analytics across multiple lending products
- Validate data accuracy and ensure alignment with internal credit policies, regulatory expectations, and risk frameworks
- Partner with underwriting, credit policy, loan operations, and finance teams to translate business needs into analytical insights and actionable recommendations
- Support credit strategy initiatives, including changes to underwriting criteria, pricing models, exposure limits, and portfolio monitoring processes
- Respond to ad hoc data requests related to loan performance, borrower behavior, and credit exposure using SQL
- Contribute to a strong risk-aware culture by mentoring analysts and elevating analytical maturity across the organizati
Requirements:
- Quant degree
- Min 3 years of experience in credit risk analytics, portfolio analytics, lending analytics, or a related quantitative roleHands-on experience with data visualization tools (Tableau, Power BI, Qlik) and the ability to design intuitive dashboards for credit and lending stakeholders
- Strong SQL skills and experience working with large datasets in cloud environments (preferably Snowflake); Python, Hive, or similar languages a plus
- High attention to detail with the ability to investigate anomalies, validate data, and produce accurate credit insights
- Strong analytical and problem-solving skills, with the ability to make data-driven recommendations that influence lending decisions.
- Ability to collaborate effectively with credit, lending, finance, and technology partners.
- Excellent communication skills, with the ability to translate complex data into clear business narratives
- Knowledge of lending products, credit lifecycle processes, underwriting workflows, loan servicing, and core banking systems.
Email resume to ilana@analyticrecruiting.com