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Credit Risk Intern Jobs in Fort Lee, NJ (NOW HIRING)

Social Work Intern

New York, NY

$16.50 - $21/hr

... risk of homelessness. The program prioritizes Veterans with the greatest needs, offering a ... Bronx Qualifications/School Credit: Our Internship Program is open to first and second-year BSW/MSW ...

Social Work Intern

New York, NY · On-site

$16.50 - $21/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... risk of homelessness. The program prioritizes Veterans with the greatest needs, offering a ... Bronx Qualifications/School Credit: Our Internship Program is open to first and second-year BSW/MSW ...

Social Work Intern

New York, NY

$16.50 - $21/hr

... risk of homelessness. The program prioritizes Veterans with the greatest needs, offering a ... Bronx Qualifications/School Credit: Our Internship Program is open to first and second-year BSW/MSW ...

Social Work Intern

New York, NY

$16.50 - $21/hr

... risk of homelessness. The program prioritizes Veterans with the greatest needs, offering a ... Bronx Qualifications/School Credit: Our Internship Program is open to first and second-year BSW/MSW ...

At the end, the intern with the best results - measured by real impact, creativity, and execution ... tape, no production risk * Direct access to Fundwell's leadership team * College credit ...

Summer 2027 Internship - Finance

New York, NY · On-site

$19.50 - $25.50/hr

We are interested in a dynamic and eager intern excited to learn about any (or all) of the ... INGCM provides customer facilitation services for interest rate, credit, equity, commodity, and ...

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Credit Risk Intern information

See Fort Lee, NJ salary details

$9

$18

$20

How much do credit risk intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for credit risk intern in Fort Lee, NJ is $18.17, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $18.08 per hour, depending on experience, location, and employer.

What types of projects or tasks do credit risk interns typically work on during their internship?

As a Credit Risk Intern, you'll often assist with analyzing financial statements, preparing credit reports, and helping evaluate the creditworthiness of clients or counterparties. You may also perform data entry, support the collection and analysis of risk metrics, and assist senior analysts with ad hoc research or portfolio reviews. This role often involves working closely with risk managers and other teams such as underwriting or finance, which helps you build a well-rounded understanding of credit risk processes. These experiences provide valuable exposure to practical risk assessment, financial analysis, and teamwork within a professional financial services environment.

What does a credit risk intern do?

A Credit Risk Intern assists in analyzing financial data, assessing creditworthiness, and identifying potential risks associated with lending and investment decisions. They work with financial models, review industry trends, and help prepare reports for senior analysts and managers. Interns may also gain experience with risk assessment tools and regulatory guidelines while collaborating with different teams. Their role is essential in supporting the risk management team in minimizing potential financial losses.

What are the key skills and qualifications needed to thrive in the credit risk intern position, and why are they important?

To thrive as a Credit Risk Intern, you should have strong analytical abilities, a basic understanding of finance or economics, and be pursuing a relevant degree such as finance, accounting, or business. Familiarity with Excel, financial modeling tools, and sometimes exposure to risk management software or programming languages like SQL or Python is beneficial. Attention to detail, strong communication skills, and a willingness to learn make a candidate stand out in this position. These skills are crucial for accurately assessing risk, collaborating with team members, and effectively supporting the credit risk function in a fast-paced environment.

What are the most commonly searched types of Credit Risk jobs in Fort Lee, NJ? The most popular types of Credit Risk jobs in Fort Lee, NJ are:
What job categories do people searching Credit Risk Intern jobs in Fort Lee, NJ look for? The top searched job categories for Credit Risk Intern jobs in Fort Lee, NJ are:
What cities near Fort Lee, NJ are hiring for Credit Risk Intern jobs? Cities near Fort Lee, NJ with the most Credit Risk Intern job openings:
Infographic showing various Credit Risk Intern job openings in Fort Lee, NJ as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $37,786 per year, or $18.2 per hour.

Data Scientist - Intern

Concord Advice

Florham Park, NJ • On-site

Full-time

Re-posted 11 days ago


Job description

Data Scientist Intern — Concord AdviceSummary

Concord Advice is a dynamic fintech company headquartered in the New Jersey area, specializing in delivering cutting-edge analytical and technical solutions for financial organizations. We design and implement innovative technology solutions, including CRM platforms, underwriting engines, auction-based online lead bidding systems, omni-channel customer engagement strategies, payment technologies, and bank integration services.

Our strategic investments in cloud infrastructure and MLOps pipelines enable us to leverage state-of-the-art language AI — from large-language-model (LLM) agents and retrieval-augmented generation to proven NLP capabilities such as named-entity recognition, intent detection, and sentiment analysis — to create intelligent, real-time, and automated customer experiences.

As a fast-growing, entrepreneurial, and collaborative firm, Concord Advice provides an immersive, hands-on environment where innovation meets business impact. Our team thrives in a dynamic setting that rewards creativity, analytical thinking, and cross-functional collaboration. If you're a problem-solver who enjoys tackling open-ended challenges, join us in shaping the future of fintech!

Job Description

As a Data Scientist Intern at Concord Advice, you will:

  • Collaborate as a member of the analytics team, working alongside senior management and IT to design models, perform data mining, and conduct statistical research.
  • Work closely with open banking data to support loan term optimization, cashflow underwriting, and revenue improvement.
  • Build end-to-end automated machine learning workflows using Azure cloud computing and our MLOps pipeline.
  • Contribute to the development of an LLM-assisted machine learning system that classifies bank transactions, helping improve the accuracy and coverage of our existing labeling framework.
  • Support firm-wide efforts to centralize data definitions and institutional knowledge by helping build retrieval-augmented generation (RAG) workflows, MCP servers, and semantic layers.
  • Take ownership of complex, ambiguous problems in a fast-moving environment, applying a consultative mindset to break challenges down into root causes, develop structured analysis plans, and identify the data needed to drive insights.
Key Qualifications
  • BA/MS in a business-related field with a focus on machine learning.
  • Comfortable working with a range of machine learning and statistical packages in Python, along with databases and reporting tools.
  • Solid grounding in the foundational concepts behind a variety of advanced ML algorithms.
  • Familiarity with the Azure cloud platform and experience using Azure services to support data science, machine learning, analytics, and production-oriented workflows.
  • Outstanding communication skills (both technical and non-technical) and a proven ability to work effectively with multiple stakeholders across a variety of business units.
  • Self-motivated, vocal, and proactive, with demonstrated creative and critical thinking capabilities.
Good to Have
  • Working knowledge of modern AI and analytics engineering patterns, including retrieval-augmented generation (RAG), dbt, and semantic modeling.
  • Hands-on experience with NLP modeling techniques such as text classification and named-entity recognition (NER).
  • Exposure to credit underwriting or risk modeling within a lending business.
 

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