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Credit Risk Data Science Jobs in Pennsylvania (NOW HIRING)

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64.49K - $105.95K/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

Wsfsbank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64.49K - $105.95K/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

$64.49K - $105.95K/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

PNC Bank

Consumer Credit Expert - AMG

Pittsburgh, PA

Preferred Skills Analytical Thinking, Commercial Real Estate, Competitive Advantages, Consumer Lending, Credit Risk Management, Data Analytics, Decision Making, Financial Operations, Portfolio Risk ...

M&T Bank

Commercial Credit Associate

Radnor, PA

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 ...

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 ...

M&T Bank

Commercial Credit Associate

Radnor, PA

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 ...

M&T Bank

Commercial Credit Associate

Wayne, PA

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 ...

Lincoln Financial

Databricks Engineer and Architect

Radnor, PA · On-site

$58.50 - $76.75/hr

... risk, credit risk, and operational risk data on the enterprise scale. Significant Databricks ... What we're looking for • Bachelor's degree in Computer Science, Information Systems, Engineering ...

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Credit Risk Data Science information

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.

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 popular job titles related to Credit Risk Data Science jobs in Pennsylvania? For Credit Risk Data Science jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Pennsylvania look for? The top searched job categories for Credit Risk Data Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Credit Risk Data Science jobs? Cities in Pennsylvania with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Quantitative Risk Analyst

Quantitative Risk Analyst

WSFS Bank

Philadelphia, PA • On-site

$64.49K - $105.95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Job Description
NewLane Finance is seeking an individual to assist the credit and risk modeling and analytics function using data to advance credit risk behavior and quantification of these risk and return tradeoffs through the deployment of models and algorithms to optimize such strategies. This role will be responsible for providing analytical/quantitative input to help develop, implement, and monitor the build of complex commercial small business Expected Default (ED) and Probability of Default (PD) credit default models.
The successful candidate will use their business analysis, process, and quantitative knowledge to ensure business intent is matched with modeling outcome, and document development decisions under SR11-7 guidelines. In addition to responsibilities on individual modeling projects this role will be expected to work on ad-hoc projects as needed. Communicating model mechanics and articulating nuances to leadership will be an important aspect of the role. This is a great opportunity for someone who is a modeler/statistician/data analyst/coder (or a combination) with experience in commercial small business credit analysis.
Key Responsibilities:
  • Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling methods (e.g., good / bad definition, performance sample windows, sample size and exclusions).
  • Assist in developing and implementing a framework for data collection, processing and analyzing customer and 3rd party data (e.g., PayNet, D&B, consumer credit bureaus) for implementing credit risk strategies
  • Plan and execute self-driven analytics on large data sets (structured and unstructured data) using next generation technologies, prepare analysis and reports to support discussions on key analytics and model aspects to drive decision making
  • Validate credit default rates from portfolio attributes (e.g., delinquencies, EOD, loss curves, dealer performance) and make recommendations on credit model and policies
  • Work with sales management on risk-based pricing strategies optimizing dealer conversion rates and profitability.
  • Oversight of credit data mart used for reporting and portfolio performance monitoring.
  • Supporting ongoing and future projects working with the senior team.
  • Ability to create visualizations of data and/or quantitative information for management decision-making
  • Support building and enhancing procedures and model documentation in compliance with regulatory guidance as well as the Bank's model risk policy
  • Maintain current/develop new analytical reports and presentations for senior management, executive committees, and regulatory exams

Experience:
  • Bachelor's degree in Mathematics/Statistics, Operations Research, Economics, Finance, or other quantitative discipline; or in lieu of a degree, four (4) plus years' experience in Risk, Finance, Consumer Lending
  • Three (3) plus years of commercial small business credit modeling experience.
  • Two (2) plus years of experience in Consumer Lending statistical modeling/analytics, preferably related to ALL and/or Loss Forecasting modeling for credit cards.
  • Two (2) plus years in coding with Python, PySpark or other equivalent language within the past Five (5) years

Desired Characteristics:
  • Demonstrated experience with SAS and other statistical methods.
  • Proven decision-making role constructing credit models in a regulated environment
  • Strong quantitative and analytical skills in statistical analysis and data science best practices
  • Strong communication and partnering skills

Salary Range:
$64,491.00 - $105,949.50
Individual base pay may vary on additional factors such as the candidate's experience, job-related skills, relevant education, geographic location, and other specific business and organizational needs.
In addition to base salary, WSFS Financial Corporation (WSFS) and its subsidiaries may offer eligible Associates discretionary and formula-based incentive and retention awards. WSFS provides a competitive benefits package, which includes medical, dental, and vision coverage; a 401(k) plan; life, accident, and disability insurance; flexible spending accounts (FSAs) and health savings accounts (HSAs); and wellness programs. Additional benefits may include paid parental leave, military leave, vacation and other paid time off, sick leave in accordance with applicable state laws, and paid holidays. Benefit offerings are subject to eligibility requirements, legal limitations, and may vary based on an Associate's location and employment status. For more information about Associate benefits, please visit https://www.wsfsbank.com/about/careers/
WSFS Bank is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the WSFS Bank Careers website or submission process, please contact us via email at careers@wsfsbank.com.
WSFS is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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