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Credit Risk Data Science Jobs in Camden, NJ (NOW HIRING)

Vanguard Group, Inc.

Credit Risk Lead

Malvern, PA · On-site

Stay current on market structure, credit cycles, and relevant investment themes to inform risk views; use data analysis to identify trends, outliers, and emerging risk signals. Build * Conduct ...

Vangard, Inc.

Credit Risk Lead

Malvern, PA · On-site

Stay current on market structure, credit cycles, and relevant investment themes to inform risk views; use data analysis to identify trends, outliers, and emerging risk signals.Build * Conduct ...

Td

Risk Manager I (US)

Mount Laurel, NJ · On-site

$91K - $136K/yr

The position is expected work with data vendors such as Credit bureaus to obtain and validate ... scientific or financial background * Excellent written and verbal communication skills

Wsfsbank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

Oversight of credit data mart used for reporting and portfolio performance monitoring. * Supporting ... Strong quantitative and analytical skills in statistical analysis and data science best practices

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

Oversight of credit data mart used for reporting and portfolio performance monitoring. * Supporting ... Strong quantitative and analytical skills in statistical analysis and data science best practices

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA

$64K - $105K/yr

Oversight of credit data mart used for reporting and portfolio performance monitoring. * Supporting ... Strong quantitative and analytical skills in statistical analysis and data science best practices

Jj

Principal Scientist Data Science

Spring House, PA · On-site

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... risk management. * Adapt large language models (LLMs) for tailored information extraction and to ...

PassFort

Asst Dir - Data Scientist

King Of Prussia, PA · On-site

$100 - $130/hr

Education * Ph.D. in Computer Science, Statistics, Applied Mathematics, Economics, Finance ... Our analytics and models are used by institutions worldwide to make credit, risk management ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Camden, NJ

Credit Risk Data Science information

See Camden, NJ salary details

$37.3K

$114.9K

$199.3K

How much do credit risk data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for credit risk data science in Camden, NJ is $114,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $141,700.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in Camden, NJ?

For Credit Risk Data Science jobs in Camden, NJ, the most frequently searched job titles are:

What cities near Camden, NJ are hiring for Credit Risk Data Science jobs?

Cities near Camden, NJ with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Camden, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,893 per year, or $55.2 per hour.

Credit Risk Lead

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Posted 12 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

16th of 151 rated financial services

Job description

Situated within the Global Risk & Security Division, the Counterparty Risk Management Team conducts credit reviews, risk assessments, and ongoing monitoring for Vanguard's global counterparties. The Credit Risk Analyst role will primarily focus on expanding coverage of securities lending and banking relationships for the Personal Wealth (PW) Division, supporting key enterprise priorities.
This role is designed for a strong credit analyst who can pair rigorous financial statement analysis with clear, executive-ready stakeholder communication. The role covers counterparties across Vanguard's Personal Wealth Division, along with coverage of trading counterparties and brokers for the Investment Management Group (IMG). For approved trading counterparties, the team performs analysis and monitoring to ensure risk exposure is appropriate based on each counterparty's creditworthiness, collaborates with stakeholders to manage risk exposures, and ensures Vanguard's compliance with SEC Derivatives and Liquidity Rules. This is a unique opportunity to innovate and meet the needs of new stakeholders, while contributing to a mature risk framework.
This role is an excellent opportunity to impact portfolio risk outcomes and gain meaningful visibility with senior leadership, while building broad relationships and growing your career across Vanguard's investment and risk organizations.
Core Responsibilities
  • Perform credit due diligence of financial statements, regulatory filings, credit disclosures, news sources, and market indicators to assess counterparty strength and downside risk.

  • Analyze key credit metrics, including leverage, liquidity, coverage, profitability, capitalization, and cash flow quality.

  • Continuously monitor rating agency actions, earnings updates, market events, breaking news, and spread movements to detect early signs of deterioration; evaluate risk implications of mergers, acquisitions, and other corporate actions.

  • Stay current on market structure, credit cycles, and relevant investment themes to inform risk views; use data analysis to identify trends, outliers, and emerging risk signals. Build

  • Conduct scenario and stress analysis to evaluate counterparty resilience and downside risk under adverse market, credit, and liquidity conditions.

  • Develop a deep understanding of PW and IMG businesses. Keeps abreast of current issues in business operations and incorporates changing business needs into risk analysis.

  • Build consulting-style presentations and lead stakeholder readouts that translate complex credit findings into clear business implications and actionable recommendations.

  • Manage relationships with stakeholders with PW, IMG, legal, compliance, and finance organizations. Acts as a liaison and subject matter expert on risk topics, and influence decisions through evidence-based communication of risk insights.

  • Assesses risks associated with new products and supports new implementations.

  • Produce timely updates for leadership, assessing impact of any credit health changes.

  • Partner with technology teams to enhance reporting, data quality, workflows, and controls.

  • Participate in special projects and perform other duties as assigned.

Required Qualifications
  • Minimum of five years related work experience, including three years of related credit analysis, credit research, financial statement analysis, or counterparty risk experience.

  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

  • Progress towards professional certification (CFA, FRM, CPA) or continued development of investment and credit risk acumen preferred.

  • Strong command of corporate financial statement analysis and credit ratio interpretation.

  • Advanced Microsoft Office skills, proficiency in Bloomberg, and analytical or programming tools such as Python. Exposure and genuine interest in leveraging AI tools.

Key Skills
  • Financial statement and ratio analysis

  • Excellent written and verbal communication; ability to adapt communication for technical and non-technical audiences.

  • Relationship management, influence, and persuasion skills.

  • A strong risk mindset and ability to communicate exposures clearly to stakeholders

  • Self-starter mindset with strong ownership and follow-through

  • Statistical knowledge, data analytics and storytelling skills

  • High integrity, sound judgment, and discretion handling confidential information

  • Team-first flexibility and willingness to support tasks of all types

  • Proven ability to prioritize in a dynamic environment

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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