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

Analyze documentation, reports, and credit data to assess merchant credit risk exposure and make sound recommendations * Support short- and long-term projects related to underwriting operations ...

Risk Manager I (US)

Mount Laurel, NJ ยท 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

Quantitative Risk Analyst

Philadelphia, PA ยท 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

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

Quantitative Risk Analyst

Philadelphia, PA ยท 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

Manage the ongoing credit risk of existing loan portfolios through continuous credit monitoring ... data. Determine the need for more thorough investigation or additional information. * Analyze ...

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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 Jul 8, 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.

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 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 are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

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.
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:
Principal Credit Risk & Pricing Analyst

Principal Credit Risk & Pricing Analyst

Citizens

Philadelphia, PA โ€ข Hybrid

$143K - $180K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

Description

The Credit Risk Sr Professional will be a critical member of the Home Equity Credit Risk Team, generating the statistical analysis used to inform credit strategy. Will work with our data resources to formulate policy recommendations, communicate those recommendations to important stakeholders, and collaborate with diverse teams to see those recommendations implemented successfully. Will be expected to wear multiple hats, solving problems across the full credit lifecycle and will have the opportunity to take ownership of solutions and see them through to completion in a fast-paced, challenging environment.

Primary responsibilities include:

  • Utilize analytical and technical skills to uncover insights, develop policy recommendations, and solve critical business problems.
  • Work with proprietary Citizens data in conjunction with bureau data, property data and alternative data sources to shape credit risk strategy.
  • Analyze portfolio trends and investigate emerging risks to drive optimization of credit policy in a constantly evolving landscape.
  • Design statistical and mathematical models for reporting and predictive analytics.
  • Develop, automate and deliver regular reports and communications to senior management.
  • Communicate recommendations and insights to key stakeholders to influence decision making.
  • Collaborate with diverse teams to see strategy proposals implemented successfully.

Qualifications:

  • 3+ years of Credit Risk experience - preferably real estate lending (mortgage and/or home equity).
  • 3+ years of relevant experience in a quantitative role utilizing statistical programing languages.
  • 3+ years Quantitative Skills - ability to develop and implement effective portfolio management routines that monitor key metrics, benchmark performance vs. peers, and identify emerging trends.ย 
  • Expertise with one or more of the following technologies required: ย SQL, Python, R, Tableau.
  • Ability to drive actionable outcomes from analytical insight and effectively communicate findings and recommendations to business leadership.
  • Exceptional problem-solving acumen with ability to think strategically.ย 
  • Time Management - ability to prioritize competing assignments and thrive in a fast-paced results orientated environment.

Education:

  • Bachelor's degree in quantitative discipline required (Finance, Mathematics, Computer Science, Statistics, Engineering, etc.).ย 
  • Masters/PhD in a quantitative discipline preferred.

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: ย 8:30am - 5:00pm, Monday - Friday

Role is hybrid, 4 days in office per week, 1 day remote

Pay Transparencyย 

The salary range for this position is $143,705 - $180,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .

#LI-Citizens1

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST