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Remote Credit Risk Jobs in Austin, TX (NOW HIRING)

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Remote Credit Risk information

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$49.6K

$108.4K

$181.4K

How much do remote credit risk jobs pay per year?

As of Jul 5, 2026, the average yearly pay for remote credit risk in Austin, TX is $108,353.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $140,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote credit risk roles, and how can they be addressed?

Remote credit risk professionals often face challenges such as limited direct access to clients and colleagues, which can make it harder to gather nuanced information and collaborate efficiently. To address these, it's important to leverage digital communication tools and maintain proactive communication with both internal teams and external stakeholders. Building strong documentation and adopting clear workflows also help ensure consistency in risk evaluation while working remotely. Regular virtual meetings and continuous professional development can further support success and connection in a remote setting.

What is a Remote Credit Risk job?

A Remote Credit Risk job involves analyzing and assessing the financial risk associated with lending or extending credit to individuals or businesses, all while working from a remote location. Professionals in this field evaluate credit applications, monitor existing accounts, and help develop policies to minimize financial losses for their employer. They typically use data analysis, financial modeling, and risk assessment tools to make informed decisions. Remote roles in credit risk allow for flexible work arrangements, but still require strong analytical skills and attention to detail.

What is the difference between Remote Credit Risk vs Remote Credit Analyst?

AspectRemote Credit RiskRemote Credit Analyst
Primary FocusAssessing overall credit risk for portfolios and lending strategiesAnalyzing individual credit applications and financial data
Required CredentialsOften requires risk management certifications, finance degreesTypically requires finance or accounting degrees, certifications like CFA or CPA
Work EnvironmentCollaborates with risk management teams, uses risk modeling toolsWorks with loan officers, reviews financial statements, uses credit scoring software
Industry UsageCommon in banking, financial services, lending institutionsUsed in banks, credit unions, lending agencies

Remote Credit Risk professionals focus on evaluating overall credit portfolios and developing risk mitigation strategies, while Remote Credit Analysts analyze individual credit applications to determine creditworthiness. Both roles require financial expertise and often similar certifications, but their scope and daily tasks differ significantly.

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

To thrive as a Remote Credit Risk Analyst, you need strong analytical abilities, knowledge of financial principles, and typically a degree in finance, economics, or a related field. Familiarity with risk assessment software, statistical tools like SAS or R, and credit reporting systems is essential. Excellent communication, attention to detail, and problem-solving skills help you interpret data and collaborate effectively from a distance. These skills and qualifications are crucial to accurately assess creditworthiness, minimize risk, and support sound financial decisions in a remote environment.
What are the most commonly searched types of Credit Risk jobs in Austin, TX? The most popular types of Credit Risk jobs in Austin, TX are:
What are popular job titles related to Remote Credit Risk jobs in Austin, TX? For Remote Credit Risk jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Remote Credit Risk jobs? Cities near Austin, TX with the most Remote Credit Risk job openings:

Other

Posted 7 days ago


Job description

FRAUD ALERT: Please note that DSV will never request a chat interview or solicit funds from applicants or employees through its interviewing and hiring process. We do not require any form of payment and will not ask for personal financial information, such as credit card or bank account number. Our recruiters have an @dsv.com or @us.dsv.com email address.  If you question the legitimacy of any DSV job posting, please reach out to HR@us.dsv.com.

DSV - Global transport and logistics
In 1976, ten independent hauliers joined forces and founded DSV in Denmark. Since then, DSV has evolved to become the world's 3rd largest supplier of global solutions within transport and logistics. Today, we add value to our customers' entire supply chain by transporting, storing, packaging, re-packaging, processing and clearing all types of goods. We work every day from our many offices in more than 80 countries to ensure a steady supply of goods to production lines, outlets, stores and consumers all over the world. Our reach is global yet our presence is local and close to our customers.  Read more at www.dsv.com

Location: USA - VIRTUAL - US Texas 

Division: Solutions 
Job Posting Title: Director, Applied AI - 117055 
Time Type: Full Time

Location: Remote with preference to Dallas, New Jersey, Toronto, Phoenix, Chicago, and Austin

POSITION SUMMARY 

The Director, Applied AI - North America, leads the identification, development, and deployment of artificial intelligence capabilities across DSV Contract Logistics' North America shared business functions and core warehouse and distribution operations. This is a greenfield, builder role: the Director will personally architect and ship AI solutions - agents, fine-tuned models, and integrated workflows - that drive measurable improvements. The Director will establish the AI capability for North America from the ground up, set the standards and governance practices that protect the business, and represent North America in DSV's global AI governance forums.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Identify, prioritize, and quantify high-value AI use cases across Operations, BCM, Engineering, Shared Services, P+O, and other functions; build the multi-year AI roadmap and align it to enterprise growth, savings, and transformation targets.
  • Personally design, build, and ship AI solutions, including LLM-based agents, fine-tuned models, retrieval pipelines, and intelligent automations integrated into the Microsoft 365 ecosystem, DSV's WMS, TMS, and adjacent operational systems.
  • Establish and own the North America AI engineering practices, including model selection, evaluation, prompt and agent design standards, MLOps, observability, and cost control.
  • Define and operate the AI governance, risk, security, and responsible-AI framework for North America in alignment with DSV global policy; represent North America in DSV's global AI governance bodies.
  • Construct rigorous business cases for each AI investment with clear ROI, baseline measurement, and post-deployment value tracking; partner with Operations Finance to validate realized savings.
  • Translate business problems articulated by functional and operational leaders into well-scoped AI solutions; act as the primary internal consultant for AI feasibility, build-vs-buy, and vendor selection decisions.
  • Evaluate, pilot, and operationalize commercial AI capabilities embedded in the existing technology stack, including Microsoft 365 Copilot, Coupa AI, and AI features in WMS, TMS, and ERP platforms; negotiate value where appropriate.
  • Build and lead a small, high-performing team of AI builders over time; recruit, develop, retain, and motivate technical talent capable of operating in a complex matrix environment.
  • Establish KPIs and OKRs that track adoption, model performance, and realized business value; report progress to North America executive leadership and contribute to global AI reporting.
  • Partner closely with IT, Information Security, Legal, Privacy, P+O, and Finance to ensure deployments meet enterprise standards for data handling, access control, and regulatory compliance.
  • Develop and deliver targeted enablement to functional leaders and operators so AI tools are adopted, trusted, and used at scale.
  • Operate fluently across executive (C-Level) and operator (warehouse, procurement, real estate) audiences, modulating depth and language to fit.

 

SKILLS & ABILITIES

Education & Experience:  

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or an equivalent quantitative field is required.
  • Minimum 10 years of progressive professional experience, with a minimum of 5 years building and shipping production AI/ML systems and a minimum of 3 years in a senior or lead capacity within a matrixed enterprise.
  • Demonstrated track record of personally shipping AI solutions to production and quantifying realized business value.
  • Experience standing up an AI capability or function from a greenfield state is strongly preferred.

 

Computer Skills:  

  • Strong, current proficiency in Python and modern AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, scikit-learn).
  • Hands-on experience with leading LLM ecosystems (OpenAI, Anthropic, Azure AI Foundry); agent frameworks (e.g., LangGraph, AutoGen, MCP); retrieval architectures and vector databases.
  • Working knowledge of model fine-tuning, evaluation methodologies, and MLOps tooling.
  • Strong fluency in the Microsoft 365 ecosystem, including Copilot, Power Platform, Microsoft Fabric, and Azure AI services.
  • Familiarity with cloud platforms (Azure preferred), SQL, and modern data warehousing patterns. 

Language Skills 

  • English (reading, writing, and verbal)

Mathematical Skills 

  • Advanced quantitative skills, including statistics, linear algebra, and the financial mathematics required to construct rigorous business cases.

Other Skills 

  • Ability to walk into an ambiguous business problem, understand it deeply, and propose pragmatic AI and non-AI solutions.
  • Demonstrated ability to balance executive-level strategic framing with hands-on technical delivery.
  • Excellent written, verbal, and visual/presentation communication skills, including the ability to brief senior executives and translate technical concepts for non-technical audiences.
  • Strong commercial instincts; ROI-oriented; able to kill ideas that do not pencil out.
  • Ability to influence and build trust across multiple levels and functions in a complex, matrixed global organization.
  • Comfortable operating with significant ambiguity and limited precedent; bias to action.
  • Sound judgment regarding AI risk, including data privacy, intellectual property, model reliability, and reputational exposure.
  • Capable of recruiting, mentoring, and developing technical talent.

PREFERRED QUALIFICATIONS

 

Education and/or Experience

  • Master's or PhD in a quantitative field preferred.
  • Experience in third-party logistics, supply chain, transportation, or another complex multi-site operating environment isS preferred but not required.
  • Experience integrating AI with enterprise platofrms, WMS, TMS, or ERP systems.
  • Prior experience representing a business unit or region in enterprise-wide AI or technology governance.

Certificates, Licenses, Registrations or Professional Designations

  • Relevant cloud or AI certifications (e.g., Microsoft Azure AI Engineer, AWS Machine Learning, Google Cloud ML) are desirable.
  • Active participation in the AI/ML practitioner community (publications, open-source contributions, speaking) is a plus.

 

PHYSICAL DEMANDS

Frequently - Sitting / Bending / Walking and Standing

Ability to Lift/Carry and Push/Pull

  • 21-50 pounds
    • Reach above shoulder, reach outward, squat, or kneel.

Other Physical Requirements: While performing the duties of this job, the employee uses his/her hands to finger, handle or feel objects, tools or controls; reach with hands and arms; stoop, kneel, or crouch; talk or hear.  The employee uses computer and telephone equipment.  Specific vision requirements of this job include close vision and distance vision.  Must be able to travel by plane and automobile.

WORK ENVIRONMENT

While performing the duties of this job, the employee rarely is exposed to fumes or airborne particles, toxic or caustic chemicals. The noise level in the work environment is usually low to moderate

The physical demands and work environment characteristics described above are representative of those an employee encounters while performing the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Reasonable Accommodations Statement

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

For this position, the expected base pay range is $175,000.00 - $250,000.00 Annually. Actual compensation will be determined based on job-related factors such as relevant experience, skills, education, certifications, and geographic location, in accordance with applicable laws and company policy.

Information regarding DSV's benefits offerings, including eligibility, coverage options, and plan details, is available through the DSV Benefits Showcase. Benefits, programs, and eligibility may vary by location and division in accordance with applicable state and local laws.

DSV is an equal employment opportunity employer. Candidates are considered for employment without regard to race, creed, color, national origin, age, sex, religion, ancestry, disability, veteran status, marital status, gender identity, sexual orientation, national origin, or any other characteristic protected by applicable federal, state or local law. If you require special assistance or accommodation while seeking employment with DSV, please contact Human Resources at hr@us.dsv.com. If you are interested in learning the status of your application, please note you will be contacted directly by the appropriate human resources contact person if you are selected for further consideration. DSV reserves the right to defer or close a vacancy at any time.

DSV - Global transport and logistics

Working at DSV means playing in a different league.

As a global leader in transport and logistics, we have been on an extraordinary journey of growth. Let's grow together as we continue to innovate, digitalise and build on our achievements.

With close to 150,000 colleagues in over 90 countries, we work every day to offer solid services and meet our customers' needs and help them achieve their goals. We know that the best way to achieve this is by bringing in new talent, fresh perspectives and ambitious individuals like you. 

At DSV, performance is in our DNA. We don't just work - we aim to shape the future of logistics. This ambition fuels a dynamic environment built on collaboration with world-class team players, accountability and action. We value inclusivity, embrace different cultures and respect the dignity and rights of every individual. If you want to make an impact, be trusted by customers and grow your career in a forward-thinking company - this is the place to be.

Start here. Go anywhere

Visit dsv.com and follow us on LinkedIn and Facebook.