Model Risk Consultant

About the role

Aflac, a Fortune 500 company, is seeking a Model Risk Consultant to join our team. This role is designated as a remote position within the continental US. While primarily remote, there may be occasional office visits based on business needs.

Responsibilities

• Performs independent validations of actuarial, financial, investment, and/or predictive models
• Reviews model methodology, assumptions, and documentation to ensure alignment with ASOPs, best practices, and internal model governance
• Recreates model outputs using challenger models, simplified calculations, or benchmarking
• Assesses data inputs for appropriateness, completeness, and transformation accuracy
• Evaluates model implementation controls and change management evidence
• Validates coding logic and implementation for business management software in programming languages such as SQL, R, Python, or VBA
• Performs sensitivity testing, stress testing, and back testing to evaluate model robustness
• Identifies model limitations, risks, and potential failure points
• Prepares clear model validation reports that detail findings, issues, severity levels, and remediation recommendations
• Works with model owners and business stakeholders to ask model-related questions and perform controls reviews
• Presents results to Model Risk Management subcommittees and working groups
• Tracks issue remediation and performs follow-up validations
• Ensures adherence to internal MRM policies and regulatory requirements (e.g. SOX, BMA, NAIC)
• Develops and enhances a streamlined process for model validations

Requirements

• Strong practical knowledge of insurance, finance, investments, and/or mathematical or statistical Modeling
• Strong programming skills and modeling experience to validate various model methodologies, calculations, and processes
• Technical proficiency in SQL and cloud-based platforms (Snowflake preferred)
• Technical proficiency in programming languages (Python and R preferred)
• Ability to adapt to newer platforms that may be adopted to boost usage of ML/AI for process automation/validation
• Advanced knowledge of Microsoft Office, particularly Excel with strong VBA (spread-sheet automation) skills
• Excellent business partnering and communication skills
• Ability to dive into technical and execution level details, connect the dots while thinking Strategically
• Enthusiastic about developing and improving tools and processes, with a focus on efficiency and user friendliness
• A proactive mindset with proven ability to manage projects independently and effectively
• Ability to teach/train/onboard junior analysts to mathematical concepts, programming languages, and ML/AI adaption
• Excellent oral, written, and interpersonal communications skills to effectively interact with peers, management, and internal customers, and external vendor representatives

Qualifications

• Bachelor's Degree in Mathematics, Statistics, Computer Science, Actuarial Science, Finance, Data Science, Risk Management, or other quantitatively intensive field
• 6 years of professional job-related work experience
• Or an equivalent combination of education and experience
• Education & Experience Preferred: Fellow of the Society of Actuaries (FSA), Chartered Financial Analyst (CFA), and/or Financial Risk Manager (FRM); Insurance experience preferred

Skills

• Strong practical knowledge of insurance, finance, investments, and/or mathematical or statistical Modeling
• Strong programming skills and modeling experience to validate various model methodologies, calculations, and processes
• Technical proficiency in SQL and cloud-based platforms (Snowflake preferred)
• Technical proficiency in programming languages (Python and R preferred)
• Ability to adapt to newer platforms that may be adopted to boost usage of ML/AI for process automation/validation
• Advanced knowledge of Microsoft Office, particularly Excel with strong VBA (spread-sheet automation) skills
• Excellent business partnering and communication skills
• Ability to dive into technical and execution level details, connect the dots while thinking Strategically
• Enthusiastic about developing and improving tools and processes, with a focus on efficiency and user friendliness
• A proactive mindset with proven ability to manage projects independently and effectively
• Ability to teach/train/onboard junior analysts to mathematical concepts, programming languages, and ML/AI adaption
• Excellent oral, written, and interpersonal communications skills to effectively interact with peers, management, and internal customers, and external vendor representatives

Benefits

• Medical, dental, and vision coverage
• Prescription drug coverage
• Health care flexible spending
• Dependent care flexible spending
• Aflac supplemental policies (Accident, Cancer, Critical Illness and Hospital Indemnity offered at no costs to employee)
• 401(k) plans
• Annual bonuses
• Opportunity to purchase company stock

Total Rewards

The salary range for this job is $105,000 - $140,000. This range is specific to the job and salary offers consider a wide range of factors that are considered in making compensation decisions, including, but not limited to: education, experience, licensure, certifications, geographic location, and peer compensation. The range has been created in good faith based on information known to Aflac at the time of the posting.

In addition to the base salary, we offer an array of benefits to meet your needs including:

• Medical, dental, and vision coverage
• Prescription drug coverage
• Health care flexible spending
• Dependent care flexible spending
• Aflac supplemental policies (Accident, Cancer, Critical Illness and Hospital Indemnity offered at no costs to employee)
• 401(k) plans
• Annual bonuses
• Opportunity to purchase company stock