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Credit Risk Data Science Jobs in Pennsylvania (NOW HIRING)

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 ...

Reporting & Operational Support: Assist with ad hoc and standard credit risk reporting, data quality checks, and operational credit risk activities across Credit Analysis, Portfolio Management ...

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

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

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 ...

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 ...

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

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:

Specialist, Credit Risk I

BNY

Pittsburgh, PA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Specialist - Credit Risk 


At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We're seeking a future team member for the role of Specialist to join our Credit Risk team covering Funds and Alternative Managers. This role is located in Pittsburgh,PA.

In this role, you'll make an impact in the following ways:

  • Performing credit due diligence on existing and prospective clients which include Regulated Funds, Hedge Funds, Private Equity Funds
  • Analyzing financial performance of clients and assessing the entity's risk profile
  • Establishing and monitoring credit limits including Repo, FX and OTC Derivatives, and Direct Lending
  • Participating in the negotiation of credit agreements
  • Performing ongoing monitoring of clients' financial performance and exposures to BNY
  • Reviewing and challenging business proposals
  • Assisting in the preparation of portfolio presentations

To be successful in this role, we're seeking the following:

  • Bachelor's degree in finance or related fields
  • 2-4 years of experience in credit supporting Regulated and Unregulated funds
  • Ability to analyze financial statements
  • Demonstrated understanding of financial markets globally
  • Strong understanding of AI concepts and ability to apply AI to the job function
  • Ability to collaborate across teams

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn 

Here's a few of our recent awards:

America's Most Innovative Companies, Fortune, 2025
World's Most Admired Companies, Fortune 2025
"Most Just Companies", Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY assesses market data to ensure a competitive compensation package for our employees. 
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

 Here's a few of our recent awards:

  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025

    Our Benefits and Rewards:

    BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

    BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

    BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. 

    Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

    If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.