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Credit Risk Analytics Manager Jobs in West Virginia

Provides guidance and support in administering the GRC tool, SharePoint site, risk data analytics, Issue Management updates, reporting and verification of closure and miscellaneous reporting, etc.

$100K/yr

Evaluate potential deals through financial analysis, project feasibility, and risk assessment ... Experience selling into banks, credit unions, private lenders, and mortgage companies Core ...

Experience in credit, fraud, identity, decisioning, risk analytics, or related financial services domains * Experience with AWS or other cloud platforms and modern data architecture concepts

$70K - $96K/yr

You will be a strategic partner and primary contact for each client, helping them use data, analytics, software, and technology solutions to lead lending, risk management, and fraud prevention. You ...

Posted today

... to manage financial risk and identify opportunities. · Provide best-in-class business partnering support, and deliver quality reports and analysis used to make informed business decisions. · ...

Excellent customer management skills (verbal and written) including prioritization, risk analysis, conflict management/resolution * Strong systemand process knowledge in Lit and Fiber services ...

Accounting Internship

Huntington, WV

$15.50 - $19.75/hr

... credit risk to support sales and collections decisions and assist with related reporting. * Analyze ... Manage expenses and cash controls by coding and reconciling credit card transactions, preparing ...

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Credit Risk Analytics Manager information

See West Virginia salary details

$31.8K

$119.8K

$159.5K

How much do credit risk analytics manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for credit risk analytics manager in West Virginia is $119,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $145,400.00 per year, depending on experience, location, and employer.

How does a Credit Risk Analytics Manager typically collaborate with other departments to manage risk effectively?

A Credit Risk Analytics Manager works closely with various teams such as underwriting, finance, IT, and compliance to gather data, implement risk models, and ensure regulatory requirements are met. This collaboration often includes presenting analytical findings to senior management, advising on credit policy adjustments, and supporting product development with risk assessments. Effective communication and teamwork are essential, as the manager translates complex data insights into actionable strategies that align with business goals. Cross-functional collaboration also helps identify potential risks early and ensures the company’s credit strategies are robust and up-to-date.

What are the key skills and qualifications needed to thrive as a Credit Risk Analytics Manager, and why are they important?

To thrive as a Credit Risk Analytics Manager, you need a strong background in quantitative analysis, risk assessment, and finance, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency in statistical software (such as SAS, R, or Python), data visualization tools, and familiarity with regulatory frameworks like Basel III are essential. Strong problem-solving, communication, and leadership skills help you effectively interpret complex data and guide cross-functional teams. These capabilities are crucial to accurately assess credit risk, inform business decisions, and ensure compliance with industry regulations.

What does a Credit Risk Analytics Manager do?

A Credit Risk Analytics Manager is responsible for analyzing and managing the credit risk exposure of a financial institution or organization. They develop and implement risk assessment models, analyze large sets of financial data, and create strategies to minimize potential losses from credit defaults. Their work involves collaborating with other departments, such as lending, underwriting, and compliance, to ensure that the company's credit policies are effective and aligned with regulatory requirements. Additionally, they report on risk trends and provide insights to support business decision-making.
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What job categories do people searching Credit Risk Analytics Manager jobs in West Virginia look for? The top searched job categories for Credit Risk Analytics Manager jobs in West Virginia are:
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Industry Practice Lead, Utilities/Manufacturing/Other Industries (R-19613)

Industry Practice Lead, Utilities/Manufacturing/Other Industries (R-19613)

Dun & Bradstreet

Charleston, WV

Full-time

Posted 16 hours ago

Posted today


Dun & Bradstreet rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

9th of 451 rated business services


Job description

Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

As an Industry Practice Lead for Utilities and Manufacturing at Dun & Bradstreet, you will play a pivotal role in the sales cycle by building credibility and trust with utility providers, energy companies, manufacturers, industrial suppliers, automotive and transportation organizations, and related ecosystem partners around Dun & Bradstreet’s data and analytics solutions. Your primary responsibility is to align our products and services with industry-specific needs—such as supplier discovery and qualification, supply chain resilience, customer and supplier master data, credit and financial risk, compliance, ESG and climate exposure, account planning, and AI-ready data foundations—offering a tailored solution architecture that leverages our existing and future capabilities to solve critical business challenges.

In this role, you will collaborate closely with internal teams—across product, data and analytics, partnerships, advisory, marketing, sales, and customer success—to ensure Dun & Bradstreet’s solutions address the evolving challenges of Utilities and Manufacturing markets, including complex global supplier networks, operational disruption, regulatory and reporting requirements, capital-intensive business models, sustainability expectations, and the need for trusted data to support automation, analytics, and AI-enabled decisioning.
Essential Key Responsibilities
  • Through client engagement, develop and implement Utilities and Manufacturing market outreach strategies in collaboration with Sales, Marketing, and Product teams, ensuring proposals, industry POVs, demos, and value narratives are aligned to customer needs across procurement, supply chain, finance, risk, compliance, sales operations, and data/technology functions.
  • As a customer advisor, partner with Sales and Product teams to qualify Utilities and Manufacturing opportunities and develop tailored solutions, acting as the primary technical advisor and advocate for Dun & Bradstreet’s product suite across use cases such as supplier onboarding, supplier risk monitoring, customer and vendor master data management, entity resolution, corporate hierarchy visibility, credit risk, compliance screening, and market segmentation.
  • As a trusted advisor, guide Utilities and Manufacturing clients through the sales process, providing thought leadership, technical support, and best practices for embedding Dun & Bradstreet solutions into common workflows and platforms, including ERP, procurement, supplier management, CRM, finance, compliance, analytics, cloud data platforms, and AI-enabled operating models.
  • Using market insights, share Utilities and Manufacturing domain knowledge across the organization, educating internal teams on how to identify and capitalize on advanced use cases such as supply chain illumination, alternative supplier identification, supplier financial risk monitoring, ESG and climate risk exposure, customer group transparency, white-space analysis, rebate and volume analysis, and AI-ready data modernization.
  • Provide training for Relationship Managers, Sales Representatives, Customer Success teams, and Solution Advisors on Utilities and Manufacturing buying centers, industry terminology, operating models, product offerings, emerging trends, and advanced solutions to better position them for success with clients.
  • Act as a mentor and subject matter expert to product consultants and sales professionals, creating high-quality Utilities and Manufacturing materials, including industry POVs, playbooks, talk tracks, demo storyboards, value-chain maps, ROI narratives, and case-study content to support client engagements.
  • Serve as a thought leader by participating in Utilities and Manufacturing forums, publishing articles and white papers, and presenting at events, webinars, workshops, and executive roundtables on topics such as supply chain resilience, trusted business identity, supplier and customer data modernization, regulatory readiness, ESG and climate risk, and AI-enabled decisioning.
  • Build and maintain relationships with Utilities and Manufacturing associations, ecosystem partners, standards bodies, technology partners, and industry thought leaders, positioning Dun & Bradstreet as a trusted leader in data, analytics, risk, compliance, and AI-ready business identity solutions. 
  • Stay current on Utilities and Manufacturing trends, regulatory changes, supply chain disruptions, energy transition dynamics, reshoring and nearshoring strategies, tariff and trade impacts, sustainability expectations, and competitive landscapes to identify opportunities for new product development or enhancements.
  • Collaborate with product development, data, analytics, advisory, and partnership teams to translate Utilities and Manufacturing market feedback into actionable product improvements, ensuring Dun & Bradstreet’s solutions remain competitive, relevant, and scalable across customer, supplier, risk, compliance, and data modernization workflows.
  • Provide the business rationale for new Utilities and Manufacturing product initiatives, backed by market insights, customer feedback, measurable business outcomes, and examples of value creation across supplier management, master data, compliance, risk reduction, sales growth, operational efficiency, and AI-enabled transformation.
Essential Skills and/or Certifications
  • Bachelor's Degree Required, Master's Degree Preferred
  • Upwards of 15+ years prior experience in an enterprise-level SaaS, consulting, or services sales role, including strong expertise in data and analytics solutions and related technologies
  • Ability to rapidly assess client environments from a business process, organizational and technological perspective, and effectively prioritize opportunities for growth
  • Demonstrable track record in strategic planning, innovation and strong operational execution.
  • Exercises wide latitude, independent judgement in determining objectives and approaches to critical assignments; Accountable for results, which may impact the entire function
  • Highly articulate with excellent business communication (verbal and written) skills and presentation skills suitable for a global corporate environment
  • Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success
  • Continuous growth mindset, keep learning through social experiences and relationships with stakeholder, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs
  • Proven ability to serve as a solution architect and trusted advisor to clients
  • Experience in sales enablement and working with cross-functional teams to align solutions with client needs.
  • Knowledge of market trends and the ability to translate these into product requirements and innovations
  • Willing to travel beyond city limits for the interest of business
Benefits We Offer
·Generous paid time off in your first year, increasing with tenure.
· Up to 16 weeks 100% paid parental leave after one year of employment.
· Paid sick time to care for yourself or family members. 
· Education assistance and extensive training resources.
· Do Good Program: Paid volunteer days & donation matching.  
· Competitive 401k with company matching. 
· Health & wellness benefits, including discounted Wellhub membership rates.
· Medical, dental & vision insurance for you, spouse/partner & dependents.


All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

Equal Employment Opportunity (EEO): Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found here. We participate in E-Verify - The current poster can be found here.

Accommodations information for applicants with disabilities: Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to AcquisitionT@dnb.com to let us know the nature of your accommodation request and your contact information.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.


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