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

Td

Risk Manager I (US)

Mount Laurel, NJ · On-site

$120K - $139K/yr

Ensures sound credit control by taking a pro-active approach to risk management within the risk ... Familiar with various statistical concepts and data science tools including Enterprise Miner ...

Accenture

Finance Risk Senior Manager

Philadelphia, PA · On-site

... Data management, technology and platforms o Credit risk management Policy and governance Portfolio management and analytics (risk ratings, loss forecasting, early warning, management reporting ...

New

Wsfsbank

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

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

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

M&T Bank

Commercial Credit Associate

Radnor, PA · On-site

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 Marlton, NJ salary details

$37.7K

$115.9K

$201K

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

As of Sep 15, 2026, the average yearly pay for credit risk data science in Marlton, NJ is $115,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $143,000.00 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 job categories do people searching Credit Risk Data Science jobs in Marlton, NJ look for?

The top searched job categories for Credit Risk Data Science jobs in Marlton, NJ are:

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

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

Consumer Credit Risk Data & Reporting Transformation Lead

Mount Laurel Township, NJ • On-site

EXL
IT Services • 10K+ employees
Learn more about EXLexternal

$130K - $145K/yr

Other

Posted 2 days ago

New

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

Role summary: Senior client-facing role leading transformation of credit risk reporting for a top US banking client across consumer lending portfolio (secured and unsecured) combining risk analytics with delivery leadership of a large-scale reporting automation program.

Key responsibilities:

  • Portfolio performance analytics and risk insight - Analyze credit performance across consumer book: identify emerging trends, drivers of delinquency and loss movements, assess performance against risk appetite, connect portfolio outcomes to underlying credit strategy — acquisition quality, line management, and loss mitigation. Author the risk narrative presented to the client's senior risk leadership each cycle.
  • Lead the reporting automation program — Manage the end-to-end automation of risk reporting suite in partnership with the data engineering team responsible for the automation: prioritize build, ensure business logic and analytical intent are correctly implemented, and own validation and sign-off on automated outputs.
  • Own client engagement — Manage senior risk stakeholders, drive program roadmap, and be accountable for delivery.

Qualifications:

  • Min. 4 years of consumer credit risk analytics experience at a bank or consumer lender, spanning portfolio analytics, credit strategy, performance reporting and risk appetite frameworks
  • Proven ability to present and defend risk positions with senior stakeholders
  • Familiarity with modern data environments (Databricks/Snowflake) and experience guiding reporting automation or analytics modernization preferred

Base Compensation Range: $130,000 –$145,000

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

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