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Credit Risk Data Science Jobs in Pennsylvania (NOW HIRING)

PSECU

Credit Risk Analyst

Harrisburg, PA · On-site

Reports to the Director of Credit Risk & Data Analytics. Work is performed with a high degree of independence. Schedule: Monday - Friday, 8am -4 or 9am -5pm. This position will be a hybrid model both ...

PSECU

Credit Risk Analyst

Harrisburg, PA

Reports to the Director of Credit Risk & Data Analytics. Work is performed with a high degree of independence. Schedule: Monday - Friday, 8am -4 or 9am -5pm. This position will be a hybrid model both ...

BNY

Specialist, Credit Risk

Pittsburgh, PA

Strong data analysis and data presentation skills * Excellent and demonstrable communication, written, and presentation skills are required. At BNY, our culture allows us to run our company better ...

BNY Mellon

Specialist, Credit Risk

Pittsburgh, PA · On-site

Strong data analysis and data presentation skills * Excellent and demonstrable communication, written, and presentation skills are required. About Us At BNY, our culture allows us to run our company ...

Aegon

Head of Credit Risk

Philadelphia, PA · On-site

Own and develop credit risk elements of the enterprise risk framework to ensure alignment with ... Proficient in financial modeling, data analysis, and portfolio management software * Forward ...

BNY Mellon

Specialist, Credit Risk I

Pittsburgh, PA · On-site

Specialist - Credit Risk At BNY, our culture allows us to run our company better and enables ... BNY assesses market data to ensure a competitive compensation package for our employees. This ...

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Credit Risk Data Science information

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 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
Credit Risk Analyst

Credit Risk Analyst

PSECU

Harrisburg, PA • On-site

Full-time

Posted 14 days ago

Job description

Members Achieve More isn't just a tagline for us, it's part of everything we do! We're looking for passionate individuals to join our team to help us maintain that focus every day. Want to work somewhere that's remained strong for 90 years, that encourages you to learn, grow, and pursue your dreams? If yes, then read on...
The Risk Analyst initiates and supports Credit Risk Management analysis and decisions using queries, reports, and visual tools. Produces and analyzes ongoing risk management reports and analyses. Performs ad hoc analysis of Credit Risk trends and portfolio performance, as well as forward-looking analysis. Analyzes effectiveness of credit risk models and strategies and provides insights and recommendations to leadership. Participates in projects impacting Credit Risk Management. Identifies and implements process improvements to enhance the efficiency of the Credit Risk Management unit. Collaborates with others to drive Credit Risk Management initiatives. Reports to the Director of Credit Risk & Data Analytics. Work is performed with a high degree of independence.
Schedule: Monday - Friday, 8am -4 or 9am -5pm. This position will be a hybrid model both in person and remote with minimum of onsite expectation of 40% or as needed.
In this position, you will
  • Assist with first-line monitoring of the credit union loan portfolio. Prepare and analyze reports and analyses, and make recommendations related to loan performance, risk-based pricing, decisioning models, underwriting, and portfolio management.
  • Monitor and trend changes to the loan portfolio and application quality with regard to business process changes and Credit Risk initiatives. Analyze the impact of changes to assess success and effectiveness and evaluate & recommend adjustments with the goal of mitigating risk while promoting growth.
  • Drive the ongoing development of Credit Risk Management Dashboards and Reports to support Credit Risk initiatives and the ongoing analysis of Credit Risk Models, Loan Performance, Application Quality, Risk-Based Pricing, and other Credit Risk strategies and initiatives. Identify opportunities to convert ad-hoc and
  • Represent Credit Risk Management within departmental and organizational projects & initiatives. Support requirements development, analysis, and implementation in relation to Credit Risk.
  • Perform ad-hoc analysis of prospective changes related to Credit Risk and present findings and recommendations to management. Work collaboratively with key stakeholders to ensure changes are approved, documented, and implemented.
  • Other duties as assigned.

Qualifications:
BS (Required)
Any equivalent combination of experience and education. | RequiredTwo years' experience in Consumer Lending or Credit Risk function. | Required

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