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Credit Risk Data Science Jobs in Raleigh, NC (NOW HIRING)

Lead Data Scientist

Raleigh, NC ยท On-site

$104.90 - $174.70/hr

Driving best practices across our data science functions* Setting strategy and team direction, with a clear vision for Data Science* Working with product leaders to apply data science solutions.

New

Senior Data Scientist

Cary, NC ยท On-site

$140 - $200/hr

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... Proven ability to lead end-to-end data science projects from discovery through production

New

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... Proven ability to lead end-to-end data science projects from discovery through production

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... Proven ability to lead end-to-end data science projects from discovery through production

Risk Management Associate COMPANY: Circle K Stores, Inc. DEPARTMENT: Risk Management LOCATION ... Ability to gather, assess, organize, and verify data accurately. #LI-WM1 Circle K is an Equal ...

New

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing * Knowledge of ...

Architect, Data AI

Durham, NC ยท On-site

$61.50 - $79.25/hr

You will architect production-grade AI systems, raise the technical bar across data science and ML ... supplier risk, contract understanding, autonomous sourcing workflows, and beyond. What Success ...

Showing results 21-40

Credit Risk Data Science information

See Raleigh, NC salary details

$36K

$110.7K

$192K

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

As of Aug 8, 2026, the average yearly pay for credit risk data science in Raleigh, NC is $110,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,200.00 and $136,600.00 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 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.
What are popular job titles related to Credit Risk Data Science jobs in Raleigh, NC? For Credit Risk Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Raleigh, NC look for? The top searched job categories for Credit Risk Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Credit Risk Data Science jobs? Cities near Raleigh, NC with the most Credit Risk Data Science job openings:
Infographic showing various Credit Risk Data Science job openings in Raleigh, NC as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $110,702 per year, or $53.2 per hour.

Lead Data Scientist

LexisNexis Risk Solutions

Raleigh, NC โ€ข On-site

$104.90 - $174.70/hr

Other

Posted 3 days ago

New


Job description

## Lead Data ScientistApplylocations: Raleigh, NCtime type: Full timeposted on: Posted Yesterdayjob requisition id: R111797**About Us**:LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.**About the Role**:**Are you looking to develop your Data Scientist career?****Do you enjoy coaching others to achieve high standards?**We are seeking a **Lead Data Scientist** toleads a team of junior members to support their development and work product. You will define the scope of a project and execute that project as a team. As a Lead you will support the development and training of junior members and develop best practices as team leaders.For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.**Responsibilities**:* Leading the development of advanced AI and machine learning models to solve complex business problems* Working closely with other data scientists and engineers to design, develop, and deploy AI solutions* Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs* Analyzing large datasets to identify patterns and trends that can inform AI development* Communicating findings and insights to stakeholders in a clear and concise manner* Staying current with the latest AI and machine learning trends and technologies* Mentoring junior data scientists and provide guidance on AI and machine learning best practices* Driving best practices across our data science functions* Setting strategy and team direction, with a clear vision for Data Science* Working with product leaders to apply data science solutions.* Evaluating and creating new frameworks and defining methodologies and governance* Leading small- to medium-sized teams* Setting a high bar for model development**Requirements**:* Have substantial experience in a senior data scientist role* Have experience in leading complex projects and customer relationships* Have significant experience in leading technical teams* Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues* Be a natural problem solver, able to take a lead in collaborating to resolve issues* Have excellent communication skills and the ability to convey information clearly to senior stakeholders**Highly Desired Skills and Experience**:* PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field* Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.* Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.* Experience with reinforcement learning, prompt engineering, hallucination mitigation* Working understanding of the business risks associated with applying LLM in a business* Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)* Strong coding skills in Python or another programming language* Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders* Strong problem-solving skills and the ability to think outside the boxU.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.**We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click** **here** **to access benefits specific to your location.**We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. #J-18808-Ljbffr