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Credit Risk Monitor Jobs in Colorado (NOW HIRING)

Review client financials and perform sensitivity analysis to evaluate credit risk in connection ... Monitor loan disbursements to ensure compliance with Bank regulations. What you'll need: * 2+ years ...

Model Risk Analyst

Denver, CO · Hybrid

$85K - $95K/yr

... monitoring of quantitative models. This role ensures that models-used for credit risk, liquidity risk, market risk, capital planning, and BSA/AML-are conceptually sound, documented according to ...

Market Risk Reporting Analyst

Denver, CO · On-site

$73K - $104K/yr

The analyst will partner with Trading, Commercial Operations, Valuation, Accounting, and Credit ... Monitor and analyze daily market risk exposures across physical and financial commodity portfolios.

Market Risk Reporting Analyst

Denver, CO · On-site

$73K - $104K/yr

The analyst will partner with Trading, Commercial Operations, Valuation, Accounting, and Credit ... Monitor and analyze daily market risk exposures across physical and financial commodity portfolios.

The analyst will partner with Trading, Commercial Operations, Valuation, Accounting, and Credit ... Monitor and analyze daily market risk exposures across physical and financial commodity portfolios.

Loan Portfolio Analyst

Rifle, CO · On-site

$70K - $100K/yr

Responsible for the development and execution of credit portfolio risk monitoring activities, including analytics and process enhancements as required by regulatory guidance. * Responsible for ...

Develop, evaluate, and iterate on predictive models for credit/risk scoring, revenue forecasting, and policy performance. * Own model performance and monitoring: define success metrics, investigate ...

Showing results 21-40

Credit Risk Monitor information

See Colorado salary details

$91K

$166.5K

$251.8K

How much do credit risk monitor jobs pay per year?

As of Aug 17, 2026, the average yearly pay for credit risk monitor in Colorado is $166,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,400.00 and $186,600.00 per year, depending on experience, location, and employer.

What is a credit risk monitor?

A Credit Risk Monitor is a professional responsible for analyzing and assessing the credit risk associated with lending or extending credit to individuals or organizations. They monitor financial statements, payment histories, and market trends to evaluate the likelihood of default. Credit Risk Monitors help financial institutions and businesses minimize losses by providing recommendations on credit limits, terms, and risk mitigation strategies. Their work is essential for maintaining the financial health and stability of organizations that rely on credit transactions.

What are the key skills and qualifications needed to thrive as a credit risk monitor?

To thrive as a Credit Risk Monitor, you need strong analytical skills, financial acumen, and a background in finance, accounting, or economics, often supported by a relevant degree. Familiarity with risk assessment tools, credit scoring models, and platforms such as Moody’s Analytics or S&P Global Market Intelligence is typically required. Attention to detail, effective communication, and sound judgment help in interpreting data and conveying risk findings to stakeholders. These skills are essential to accurately evaluate creditworthiness and support informed decision-making that protects organizational assets.

What are some common challenges faced by credit risk monitors in their day-to-day work?

Credit Risk Monitors often contend with the challenge of evaluating complex financial data from multiple sources to assess a borrower's creditworthiness. They must stay updated on changing market conditions and regulatory requirements, which can impact risk assessments. Another frequent challenge is balancing the need for thorough analysis with tight reporting deadlines. Collaboration with other departments, such as loan officers and compliance teams, is essential for obtaining accurate information and ensuring company policies are followed.

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

AspectCredit Risk MonitorCredit Analyst
Required credentialsTypically requires finance, economics, or related degrees; certifications like CFA are a plusSimilar educational background; certifications like CFA or CPA can be advantageous
Work environmentFinancial services, credit risk assessment, often in corporate or agency settingsBanking, lending institutions, or corporate finance departments
Employer and industry usageUsed by credit rating agencies, financial institutions, and risk management firmsCommon in banks, investment firms, and credit departments

While both roles involve financial analysis and risk assessment, Credit Risk Monitors focus on monitoring and analyzing credit risks at a broader level, often involving data aggregation and industry trend analysis. Credit Analysts typically evaluate individual creditworthiness of clients or companies to inform lending decisions. Understanding these distinctions helps in choosing the right career path or job search focus.

What are popular job titles related to Credit Risk Monitor jobs in Colorado?

For Credit Risk Monitor jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Credit Risk Monitor jobs in Colorado look for?

The top searched job categories for Credit Risk Monitor jobs in Colorado are:

What cities in Colorado are hiring for Credit Risk Monitor jobs?

Cities in Colorado with the most Credit Risk Monitor job openings:

Infographic showing various Credit Risk Monitor job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $166,468 per year, or $80 per hour.

Senior Data Scientist - Scale Risk & Revenue with AI

Thaloz

Denver, CO • On-site

Other

Posted 11 days ago


Job description

Clearco is a leader in AI and data-driven eCommerce funding, providing non-dilutive capital that helps founders grow without sacrificing equity. We are hiring a Senior Data Scientist to shape the models, experiments, and analytics that drive our risk, underwriting, and revenue decisions.

This hands-on senior role sits at the intersection of Data Science, Machine Learning, and Product. You will partner with Engineering, Product, Risk, and Finance to turn ambiguous problems into production-grade models and measurable outcomes that responsibly scale funding for eCommerce businesses.

Responsibilities
  • Design and execute data science experiments, including causal analysis, A/B tests, and offline evaluation.
  • Develop, evaluate, and iterate on predictive models for credit/risk scoring, revenue forecasting, and policy performance.
  • Own model performance and monitoring: define success metrics, investigate drift, and drive improvements to data quality and feature reliability.
  • Partner with Product Engineering to productionize models and analytics with emphasis on reliability, reproducibility, and maintainability.
  • Perform exploratory data analysis, feature engineering, and robust validation on real-world, messy data.
  • Communicate insights and recommendations clearly to technical and non-technical stakeholders through documentation and presentations.
  • Improve analytical standards, code review practices, and documentation to raise technical quality.
  • Mentor and support team members through pairing, feedback, and sharing best practices.
  • 5+ years of professional experience in data science, applied machine learning, or a related quantitative role.
  • Strong foundations in statistics and experimentation, including hypothesis testing, causal reasoning, and evaluation design.
  • Proven experience building and shipping predictive models (classification, regression, time series) and measuring real-world impact.
  • Strong proficiency in Python and SQL and comfort working with production data workflows.
  • Experience defining success metrics, aligning with stakeholders, and delivering end-to-end outcomes.
  • Strong written communication skills and a pragmatic approach to fast-moving environments.
  • Experience owning model performance, monitoring for drift, and improving feature reliability.
Nice to Have
  • Experience with credit risk, underwriting, fraud/risk signals, or financial forecasting.
  • Experience with modern data tooling and warehouses such as BigQuery or Snowflake and transformation frameworks like dbt.
  • Familiarity with MLOps patterns (model deployment, monitoring, feature stores, orchestration) and cloud environments.
  • Experience working with messy third-party data sources (banking data, eCommerce platforms, marketing signals).
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