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Credit Risk Data Science Manager Jobs in Thornton, CO

Sunflower Bank NA

Credit Risk Review Manager

Denver, CO · On-site

$115K - $135K/yr

The Credit Risk Review Manager directs and manages a team of credit risk review analysts to ensure ... Additional information about our data collection practices and location-specific notices is ...

Sunflower Bank NA

Credit Risk Review Manager

Denver, CO · On-site

$115K - $135K/yr

The Credit Risk Review Manager directs and manages a team of credit risk review analysts to ensure ... Additional information about our data collection practices and location-specific notices is ...

Sunflower Bank, N.A.

Credit Risk Review Manager

Denver, CO · On-site

$115K - $135K/yr

The Credit Risk Review Manager directs and manages a team of credit risk review analysts to ensure ... Additional information about our data collection practices and location-specific notices is ...

Thaloz

CO - Sr. Data Scientist - 229

Denver, CO · On-site

$150 - $200/hr

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 ...

Xcel Energy

Sr Credit Risk Reporting Analyst

Denver, CO · On-site

$84K - $120K/yr

Update views annually and report results to Commercial Operations, Risk Management, etc. * Develop ... Ability to analyze and reconcile data across multiple sources to verify reports are high quality ...

Xcel Energy Inc

Sr Credit Risk Reporting Analyst

Denver, CO · On-site

$100 - $125/hr

Update views annually and report results to Commercial Operations, Risk Management, etc. * Develop ... Ability to analyze and reconcile data across multiple sources to verify reports are high quality ...

Huntington

Credit Review Team Leader - Consumer

Denver, CO · On-site +1

$93K - $189K/yr

Serve as the departmental subject matter expert in Consumer/Scored Commercial Credit Risk, including originations, portfolio-level monitoring, risk management, credit data analysis and general ...

Cacheflow

Manager, Data Science

Denver, CO · On-site

$150 - $200/hr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning ...

Ibotta, Inc.

Manager, Data Science

Denver, CO · On-site

$150 - $200/hr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning ...

Ibotta, Inc

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Manager JobsCredit Risk Data Science Manager Jobs in Thornton, CO

Credit Risk Data Science Manager information

See Thornton, CO salary details

$88.4K

$161.9K

$244.9K

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

As of Sep 9, 2026, the average yearly pay for credit risk data science manager in Thornton, CO is $161,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $181,500.00 per year, depending on experience, location, and employer.

Senior Data Scientist - Scale Risk & Revenue with AI

Denver, CO • On-site

Thaloz
See more jobs at Thalozexternal

$150 - $200/hr

Other

Re-posted 5 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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