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Credit Risk Data Science Jobs in Philadelphia, PA

Continental Finance

Credit Risk Analyst

Wilmington, DE · Hybrid

We are seeking a Data Analyst to support our Credit Risk team. Seeking a Data Analyst to support direct mail and Invitation-To-Apply (ITA) acquisition campaigns through targeting, list processing and ...

Monitise

Credit Risk Underwriter

King Of Prussia, PA

Analyze documentation, reports, and credit data to assess merchant credit risk exposure and make recommendations. * Responsibilities listed are not intended to be all-inclusive and may be modified as ...

Td

Risk Manager I (US)

Wilmington, DE · 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

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

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Philadelphia, PA

Credit Risk Data Science information

See Philadelphia, PA salary details

$37.3K

$114.9K

$199.3K

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

As of Jul 19, 2026, the average yearly pay for credit risk data science in Philadelphia, PA is $114,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $141,800.00 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 Philadelphia, PA? For Credit Risk Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Philadelphia, PA look for? The top searched job categories for Credit Risk Data Science jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Credit Risk Data Science jobs? Cities near Philadelphia, PA 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 Philadelphia, PA as of July 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $114,916 per year, or $55.2 per hour.
CCB Risk [Multiple Positions Available]

CCB Risk [Multiple Positions Available]

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 23 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description

DESCRIPTION:

Duties: Develop artificial intelligence and machine learning (AI/ML)-based solutions that drive key credit decisions in the risk management process. Work on strategic, highly visible machine learning projects and interact with business strategy, model governance, data management, and model implementation teams to drive business results. Apply analytical, data science, and machine learning skills to solve complex business problems. Work across teams to design, develop, and implement analytical models. Responsible for these models throughout the model's life cycle, including data cleanup, data analysis, model selection, ongoing performance monitoring, issue resolution, and model retirement. Monitor and validate existing models to support risk strategy and business functions. Liaise with business partners to ensure alignment of the modeling team's Book of Work with the strategic direction of the business. Contribute to the asks and requirements stemming from various regulatory exams. Prepare presentations and reports for both non-technical and technical audiences including senior management, risk strategy and MRGR.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Statistics, Computer Science, Mathematics, Engineering or related field of study plus 3 years of experience in the job offered or as CCB Risk, Risk Strategy Analytics Analyst, Information Scientist, or related occupation. The employer will alternatively accept a PhD in Statistics, Computer Science, Mathematics, Engineering or related field of study plus 1 year of experience in the job offered or as CCB Risk, Risk Strategy Analytics Analyst, Information Scientist, or related occupation.

Skills Required: This position requires one (1) year of experience with the following: Credit risk management in the financial industry; Performing machine learning quantitative analytics using Python and SAS; Working with credit risk data using Snowflake, Oracle, SQL, Teradata, and Hive. This position requires any amount of experience with the following: Conducting credit risk analysis and working on entire account life cycle including acquisition, portfolio management, and collection; Performing business and personal financial statement analysis; Applying language models including GPT-4 and Claude and prompt engineering techniques including designing effective prompts, few-shot learning, chain-of-thought prompting, and retrieval-augmented generation to automate and enhance various business processes; Using analytical and modeling methods including decision tree, random forest, logistic regression, multivariate regression, gradient boosting machine, multinomial regression, multivariate analysis, discriminant analysis, principal component analysis and factor analysis, and clustering analysis; Using distributed computing techniques to process data sets with data containers, multithreading, and multiprocessing in PySpark and Scala; Designing and developing interactive Excel and PowerPoint reports with advanced functionalities, including Pivots, VLOOKUP, VBA macros, index match, and data analysis add-ons; Using Data science libraries including Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Matplotlib and seaborn, and software engineering fundamentals including version control using GitHub or Bitbucket; Defining a risk target and features; Identifying a quantitative relationship embedded in data; Managing and analyzing quantitative data, including data extraction, cleaning, transformation, and visualization; Performing data manipulation, structuring, design flow, and query optimization using programming languages including SQL and Python.  

Job Location: 301 N Walnut St, Wilmington, DE 19801.

Full-Time. 
 

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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