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Senior Hcc Risk Adjustment Coder Jobs in Decatur, GA

Pwc

Senior Manager, Internal Investigations

Atlanta, GA · On-site

$91K - $321K/yr

Industry/Sector Not Applicable Specialism IFS - Risk & Quality (R&Q) Management Level Senior ... Firm's code of conduct and independence requirements - Collaborating on compliance program ...

Tokio Marine HCC

Claims Attorney

Alpharetta, GA · On-site

Senior Claims Operations Manager Employment Type: Full time Job Req ID: 2026 Req Begin Date: 5/12 ... Oversee all aspects of the litigation process for claims to minimize company risk of loss.

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Senior Hcc Risk Adjustment Coder information

See Decatur, GA salary details

$16

$28

$69

How much do senior hcc risk adjustment coder jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for senior hcc risk adjustment coder in Decatur, GA is $28.60, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $28.41 per hour, depending on experience, location, and employer.

What does a Senior HCC Risk Adjustment Coder do?

A Senior HCC Risk Adjustment Coder reviews medical records and assigns appropriate ICD-10 codes to ensure accurate risk adjustment for healthcare organizations. Their work supports proper reimbursement and compliance by identifying and coding Hierarchical Condition Categories (HCCs) based on clinical documentation. Senior coders typically have advanced knowledge of coding guidelines, risk adjustment models, and relevant regulations such as Medicare Advantage requirements. They may also audit coding work, provide training, and help implement best practices within their teams.

What are some common challenges faced by Senior HCC Risk Adjustment Coders, and how can they be addressed?

Senior HCC Risk Adjustment Coders often encounter challenges such as keeping up with frequent coding guideline updates, navigating complex electronic health record systems, and ensuring accurate documentation to support risk adjustment scores. To address these, staying current with industry training and certification requirements is essential, as is developing strong communication skills to collaborate effectively with providers and other coding professionals. Regular auditing and feedback can also help maintain high accuracy and compliance, contributing to both individual and team success.

What are the key skills and qualifications needed to thrive as a Senior HCC Risk Adjustment Coder, and why are they important?

To thrive as a Senior HCC Risk Adjustment Coder, you need in-depth knowledge of ICD-10-CM coding, risk adjustment methodologies, and a relevant credential such as CPC, CRC, or CCS. Familiarity with coding software, EHR systems, and risk adjustment analytics platforms is essential. Attention to detail, analytical thinking, and strong communication skills distinguish top performers in this role. These skills ensure accurate documentation and coding, directly impacting healthcare organizations' compliance and financial outcomes.
What cities near Decatur, GA are hiring for Senior Hcc Risk Adjustment Coder jobs? Cities near Decatur, GA with the most Senior Hcc Risk Adjustment Coder job openings:
Senior Hcc Risk Adjustment Coder jobs near you
Senior Data Scientist I

Senior Data Scientist I

Lexisnexis Risk Solutions

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Develop and enhance statistical and machine learning models using structured and unstructured data to generate predictive insights and attributes.

  • Design and build data pipelines and analytical solutions that support risk segmentation and insurance use cases.

  • Provide actuarial expertise and recommendations to inform model development, risk segmentation, and support rate filings.

Job description

Would you like to apply advanced actuarial science and machine learning to build predictive models that directly influence underwriting, pricing, and risk decisions for insurers at scale?

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within Insurance, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics toassistthem in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below.

https://risk.lexisnexis.com/insurance

About our Team

The Insurance Analytics team are the trusted leaders in analytics excellence, delivering innovative, data-driven solutions throughcutting-edgedata science and strategic risk solutions to drive market leadership, impactful change, and lasting value for our customers and stakeholders.The teamis responsible fornew product innovation, model development, and creating actionable insights for our customers. We work closely with the Vertical and Product teams to design and implementnew solutionsforthe insuranceand OEMmarkets. By harnessing the power of data, our analytics team empowers insurers to make informed decisions,optimizerisk segmentation, and enhance underwriting strategies,ultimately drivingsuccess in an ever-evolving insurance landscape.

About the Role

We are seeking a Senior Data Scientist I to join our Insurance Analytics team, with a strong foundation in actuarial science, statistical modeling, and data science. In this role, you will contribute to the development of innovative insurance products, advanced predictive models, and data-driven insights that inform key business decisions.

You will partner closely with Product and Vertical teams to design and deliver analytical solutions that address complex insurance challenges and support evolving market needs. This role is ideal for someone who combines deep actuarial expertise with strong modeling intuition, is comfortable working with complex datasets, and can effectively translate analytical findings into clear, actionable recommendations that drive business and product outcomes.

Responsibilities:

  • Developing and enhancing statistical and machine learning models using structured and unstructured data to generate predictive insights and attributes.
  • Design and building data pipelines and analytical solutions that support risk segmentation and insurance use cases.
  • Providing actuarial expertise and recommendations to inform model development, risk segmentation, and support rate filings.
  • Researching and applying innovative data science methodologies to solve complex business problems.
  • Managing and analyzing large, complex datasets, including data storage, processing, and quality assurance.
  • Applying best practices for data validation, testing, and model performance monitoring.
  • Collaborating with team members to share knowledge, strengthen capabilities, and contribute to a strong analytical culture.
  • Identifying and leveraging new data sources to improve and validate existing models.
  • Partnering with internal stakeholders to understand business needs, troubleshoot challenges, and deliver actionable insights.
  • Maintaining a strong understanding of team tools, technologies, and evolving industry trends.
  • Applying business and domain knowledge to drive effective, practical solutions.
  • Communicating progress, insights, and outcomes clearly to stakeholders.
  • Supporting team excellence by upholding high standards of quality, accountability, and execution.

Requirements:

  • Minimum undergraduate degree in relevant field and 4+ years of relevant work experience
  • Or a master's degree in a relevant field and 2+ years of relevant work experience.
  • Or a PhD in a relevant field.
  • Strong expertise in Python. Coding skills in R, SQL, ECL are a plus.
  • Good foundation in actuarial science, including experience applying actuarial principles to pricing, risk segmentation, or model development.
  • Strong foundation in statistical and mathematical modeling, including model assumptions, diagnostics, and interpretability. This includes linear and non linear models along with ML techniques.
  • Extensive programming skills in Python and/or R, with extensive experience with their standard data manipulation and ML packages. pandas, scikit-learn, NumPy, XGBoost, PyTorch in Python and rpart, party, caret in R) and/or Scala.
  • Strong ability as a self-starter to learn new technologies (Pyspark, ECL, Azure/AWS ML Services) and to share cross-functional knowledge across the teams nice to have.

Technical/Professional Experience

  • Able to build or test new processes with senior guidance. Domain expert in Data Science, Actuarial Science and/or Statistical Analysis to build advanced models and roll into production.
  • Scopes and execute analytical approaches for moderately complex problems, seeking input where needed.
  • Supports, maintains, and enhances existing models (e.g., GLM and tree-based methods).
  • Applies statistical, mathematical, predictive modeling and analytical techniques to work with large, complex datasets from diverse sources.

Data Skills

  • Independently prepares, cleans, and transforms data for analysis and modeling.
  • Applies a range of data processing techniques and explores new methods to improve data quality and usability.

Project Management Skills

  • Owns and delivers components of projects independently, including planning and execution of key tasks.
  • Contributes to larger, more complex projects by executing defined workstreams and meeting timelines.

Domain/Industry Skills

  • Applies core data science and statistical methods within an insurance context.
  • Strong foundation in actuarial science, including experience applying actuarial principles to pricing, risk segmentation, or model development.
  • Understands and applies machine learning techniques, including hypothesis testing, sampling methods, model development (linear and non-linear), validation, and data pipelines.

Behavioral Competencies

  • Takes initiative and ownership of work, proactively addressing challenges and identifying opportunities for improvement.
  • Collaborates effectively with teammates, supporting a positive and accountable team environment.
  • Balances innovation with practical business needs and team priorities
  • Demonstrates accountability, follows through on commitments, and maintains high standards of work.
  • Shows willingness to stretch beyond core responsibilities and support team success.

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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