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Digital Risk Jobs in Colorado (NOW HIRING)

Senior Digital Design Specialist (BIM)

Denver, CO · On-site

$101.90K - $129.70K/yr

Ensure BIM compliance with contractual requirements and information delivery milestones, including risk identification and mitigation in digital deliverables. 2. Project Delivery & Coordination * Set ...

Senior Digital Design Specialist (BIM)

Denver, CO

$101.90K - $129.70K/yr

Ensure BIM compliance with contractual requirements and information delivery milestones, including risk identification and mitigation in digital deliverables. 2. Project Delivery & Coordination * Set ...

Senior Digital Design Specialist (BIM)

Denver, CO · On-site

$101.90K - $129.70K/yr

Ensure BIM compliance with contractual requirements and information delivery milestones, including risk identification and mitigation in digital deliverables. 2. Project Delivery & Coordination * Set ...

Senior Digital Design Specialist (BIM)

Denver, CO

$101.90K - $129.70K/yr

Ensure BIM compliance with contractual requirements and information delivery milestones, including risk identification and mitigation in digital deliverables. 2. Project Delivery & Coordination * Set ...

Account Executive

Denver, CO · On-site +1

$132K - $165K/yr

As an award-winning digital product consultancy and the digital division of TELUS, one of Canada ... ROI, risk, and regulatory considerations. * Solid knowledge of the Google Cloud ecosystem ...

Sr. Program Manager - AI Digital Solutions

Denver, CO

$119.40K - $119.90K/yr

Our mission with AVS Digital is to develop a seamlessly connected ecosystem of AI enabled devices ... documentation, risk analysis, and commercialization readiness). * Collaborate with business ...

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Showing results 1-20

Digital Risk information

See Colorado salary details

$17

$49

$92

How much do digital risk jobs pay per hour?

As of May 28, 2026, the average hourly pay for digital risk in Colorado is $49.68, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $64.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Digital Risk professional, and why are they important?

To thrive as a Digital Risk professional, you need a solid understanding of risk management frameworks, information security, and regulatory compliance, often supported by a degree in IT, cybersecurity, or a related field. Familiarity with risk assessment tools, cybersecurity platforms, and certifications like CISSP, CISM, or CRISC is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you identify threats and convey risks to stakeholders. These skills are crucial for proactively protecting organizations from digital threats and ensuring business continuity in a rapidly evolving technological environment.

What are the main challenges faced by professionals working in Digital Risk roles, and how can they effectively address them?

Professionals in Digital Risk often face challenges such as rapidly evolving cyber threats, regulatory compliance demands, and ensuring robust risk management across digital assets. Staying updated with the latest threat intelligence and regulatory changes is essential. Collaboration with IT, legal, and business teams is crucial to develop comprehensive risk mitigation strategies. Adopting a proactive approach, continuous learning, and leveraging advanced risk assessment tools can help digital risk professionals effectively manage these challenges.

What is digital risk and what does a digital risk professional do?

Digital risk refers to the potential threats and vulnerabilities that organizations face as they adopt digital technologies, such as cyber attacks, data breaches, privacy issues, and technology failures. A digital risk professional identifies, assesses, and manages these risks to protect an organization's digital assets and ensure compliance with regulations. Their responsibilities may include implementing cybersecurity measures, monitoring for emerging threats, conducting risk assessments, and developing response strategies. They work closely with IT, compliance, and business teams to create a secure digital environment. The goal is to balance innovation and technology adoption with effective risk management.

What is the difference between Digital Risk vs Cybersecurity Analyst?

AspectDigital RiskCybersecurity Analyst
Required CredentialsCertifications like CISSP, CISA, CISM, and relevant degreesCertifications like CompTIA Security+, CISSP, CEH, and related degrees
Work EnvironmentFocuses on risk management, compliance, and strategic planning across digital assetsFocuses on protecting IT infrastructure, monitoring threats, and incident response
Employer & Industry UsageUsed by financial institutions, tech firms, and corporations managing digital risksCommon in IT departments, security firms, and organizations with cybersecurity teams

Digital Risk professionals primarily focus on identifying and managing risks related to digital assets and compliance, while Cybersecurity Analysts concentrate on protecting systems from cyber threats. Both roles require similar certifications and often work within the same industry environments, but their core responsibilities differ in scope and focus.

What are popular job titles related to Digital Risk jobs in Colorado? For Digital Risk jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Digital Risk jobs? Cities in Colorado with the most Digital Risk job openings:
Senior Data Scientist - Risk & Compliance Domain

Senior Data Scientist - Risk & Compliance Domain

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Posted 16 days ago


Job description

Overview:
Job Title: Senior Data Scientist - Risk & Compliance Domain (Job ID: 2098)
Location: Remote (but need someone local to - Denver, CO 80237)
Duration: July 15, 2025 - February 27, 2026
Hire Type: Contractor (Contract Only)
Role Responsibilities:
Project Management: Leading and managing end to end data science projects, defining objectives, define requirements, and ensuring timely delivery.
Model Development & Implementation: Developing and validating machine learning and statistical models, implementing predictive models, and optimizing existing ones.
Data Analysis & Insights: Analyzing large datasets, identifying trends and patterns, and extracting actionable insights to inform business decisions.
Collaboration & Communication: Working with cross-functional teams and stakeholders, including engineering, product, and business stakeholders, to translate complex data into actionable strategies.
Mentorship & Guidance: Providing guidance and mentorship to junior data scientists, sharing expertise, and fostering their professional growth.
Staying Updated: Keeping abreast of the latest advancements in data science and AI, exploring new tools and techniques, and identifying opportunities for innovation.
Strategic Input: Contributing to the development of data-driven strategies and providing input on technical approaches for projects.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services leading in detecting and preventing digital fraud, scams and social engineering.
Able to quickly understand our current Risk Models with the goal of building a flexible AI solution that partners with our current risk tools to maintains our high standards for Risk Prevention and Compliance while providing flexibility to effectively run our business.
Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
Experience navigating difficult scenarios developing and implementing execution ideas with minimal guidance.
Proficiency in programming languages like Python or R.
Ability to create clear and concise visualizations to communicate complex data.
Ability to create clear and standard data models to communicate with the stakeholders and to capture the semantics of the data and the complex semi-structured content.
Strong analytical and problem-solving skills, with the ability to tackle complex business challenges.
Excellent communication and presentation skills to effectively convey findings to both technical and non-technical audiences.
Experience and willingness to lead and mentor a team, providing guidance and support to junior members
Skills:
Risk & Compliance