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Remote Credit Risk Modeling Jobs in Denver, CO (NOW HIRING)

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... Thorough understanding of and hands-on experience with Medicare risk adjustment and CMS-HCC models

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... and credit unions. It is the responsibility of our Remote Associates to communicate with our ... Appointment-based work model. Opportunities for Growth: * Manager training program available for ...

Product Data Scientist

Denver, CO · On-site +1

$100K - $140K/yr

Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ... Build pricing, promo, and refund-risk models that quantify the financial impact of monetization ...

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Remote Credit Risk Modeling information

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

To thrive as a Remote Credit Risk Modeler, you need a strong background in statistics, data analysis, and financial risk assessment, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical modeling tools such as SAS, R, Python, and experience with credit risk platforms or regulatory frameworks like Basel II/III are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are crucial for interpreting complex data and collaborating with remote teams. These skills ensure accurate risk assessments, regulatory compliance, and sound decision-making in credit portfolios.

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

AspectRemote Credit Risk ModelingRemote Credit Analyst
Required CredentialsDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficialDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficial
Work EnvironmentDeveloping models, analyzing data, using statistical softwareAssessing creditworthiness, reviewing financial documents, communicating with clients
Industry UsageFinancial institutions, credit bureaus, fintech companiesBanks, lending institutions, credit agencies

Remote Credit Risk Modeling focuses on creating statistical models to predict credit risk, requiring strong analytical skills and technical expertise. Remote Credit Analysts evaluate individual credit applications and assess risk based on financial data. While both roles operate remotely within the finance industry, they differ in daily tasks and skill emphasis, with modeling being more technical and analysis more client-focused.

How does a remote Credit Risk Modeling professional typically collaborate with cross-functional teams?

As a remote Credit Risk Modeling professional, collaboration with cross-functional teams—such as data analysts, IT specialists, and business stakeholders—is usually facilitated through virtual meetings, shared project management tools, and version-controlled code repositories. Clear communication and regular updates are essential, as you'll often need to translate complex modeling outcomes into actionable insights for non-technical colleagues. Building strong relationships remotely can be a challenge, but utilizing video calls and collaborative documentation helps ensure alignment on project goals and timelines.

What is remote credit risk modeling?

Remote credit risk modeling involves analyzing and predicting the likelihood that borrowers will default on their loans, all while working from a location outside of a traditional office setting. Professionals in this role use statistical techniques and data analysis tools to assess creditworthiness and help financial institutions minimize risk. They often collaborate with teams virtually, utilizing secure platforms to access data and build predictive models. This remote setup allows for flexibility and efficiency while still upholding high standards of data security and accuracy.
What are the most commonly searched types of Credit Risk Modeling jobs in Denver, CO? The most popular types of Credit Risk Modeling jobs in Denver, CO are:
What are popular job titles related to Remote Credit Risk Modeling jobs in Denver, CO? For Remote Credit Risk Modeling jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in Denver, CO look for? The top searched job categories for Remote Credit Risk Modeling jobs in Denver, CO are:
What cities near Denver, CO are hiring for Remote Credit Risk Modeling jobs? Cities near Denver, CO with the most Remote Credit Risk Modeling job openings:
Actuary - Value-Based Care

Actuary - Value-Based Care

Ennoble Care

Denver, CO • Remote

$150/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Ennoble Care rating

4.2

Company rating: 4.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

About Us

Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today!

Position Overview

We are seeking an experienced Actuary (5+ years of experience) for our value-based care (VBC) team. This role requires a seasoned professional in medical economics, actuarial, or equivalent data analytics experience who can navigate the complex landscape of Medicare risk models, value-based care arrangements, and population health analytics. The ideal candidate will play a critical role in optimizing our organization's performance under CMS total cost of care models while ensuring sustainable financial outcomes. Candidates will ideally have their ASA certification or have passed at least the first three exams.

This role is currently scoped as an individual contributor, with a growth trajectory toward leadership over time.

Key ResponsibilitiesData Management & Medicare Analytics
  • Analyze VBC performance under various CMS and CMMI total cost-of-care models.
  • Monitor and forecast financial performance across assigned patient populations.
  • Conduct comprehensive claims analysis using CCLF (Claims and Claims Line Feed) and BCDA (Beneficiary Claims Data API) datasets.
  • Refine key reporting and projection methodologies, including IBNR and Risk Score projections.
  • Process and analyze large healthcare datasets, combining multiple data sources including EHR systems and Medicare claims data.
  • Ensure data quality and integrity across all analytical processes.
  • Develop and maintain SQL-based data structures to support population experience studies and VBC program analytics.
Business Intelligence & Reporting
  • Create fit-for-purpose analytical reports that translate complex actuarial findings into actionable business insights.
  • Develop executive dashboards and performance metrics aligned with organizational strategic goals.
  • Present findings and recommendations to leadership teams and clinical stakeholders.
  • Support budget planning and financial forecasting processes.
Regulatory Compliance & Process Improvement
  • Stay current with evolving CMS and CMMI program requirements and quality measures.
Required QualificationsEducation & Certification
  • Bachelor's degree in Actuarial Science, Statistics, Mathematics, Data Science, or related quantitative field
  • ASA credentials preferred for Actuarial candidates
Experience Requirements
  • Strong healthcare data analytics experience in Medicare-focused or Medicare Advantage environments (5+ years of experience)
  • Thorough understanding of and hands-on experience with Medicare risk adjustment and CMS-HCC models
  • Experience working with CMS and CMMI total cost of care (ACO) programs
  • Proven track record spearheading claims analytics using Medicare claims data
  • In-depth knowledge of healthcare billing processes from both provider and CMS perspectives
Technical Proficiency
  • Advanced proficiency in Microsoft Excel and model building
  • Strong SQL skills with the ability to write complex queries
  • Experience with the Microsoft Azure cloud platform and related analytics tools preferred
  • Experience with integrating data across multiple large, nuanced data sources (e.g., integration of EHR data with claims datasets)
  • Experience developing/integrating AI-forward workflows into analytics
Core Competencies
  • Exceptional analytical and problem-solving capabilities
  • Strong business acumen with the ability to translate technical findings into strategic recommendations
  • Excellent written and verbal communication skills for both technical and non-technical audiences
  • Proven team player with a collaborative approach to cross-functional projects
  • Demonstrated capability to understand and respond to evolving business needs
Compensation
  • The salary range is $150- 170k with a $30- 40k bonus range

Full-time employees qualify for the following benefits:

  • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
  • Paid Time Off
  • Paid Office Holidays

All employees qualify for these benefits:

  • Paid Sick Time
  • 401(k) with up to 3% company match
  • Referral Program
  • Payactiv: pay-on-demand. Cash out earned money when and where you need it!

Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.

Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.