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Insurance · Mid level

Actuarial Analyst job description

An Actuarial Analyst supports the actuarial function with pricing, reserving, valuation and data analysis. They build and run models, prepare experience studies, and turn numbers into clear analysis for the actuaries and product teams. The role reports to the Appointed Actuary or an actuarial manager. A good actuarial analyst produces accurate, well documented models, meets valuation and pricing deadlines, spots errors and odd results before they go up, explains findings clearly, and steadily clears actuarial exams while learning the business behind the numbers.

DetailFor this role
DepartmentInsurance
LevelMid level
Reports toAppointed Actuary
Direct reportsNone
Experience1 to 4 years in an actuarial role

Actuarial Analyst job description template

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Job title: Actuarial Analyst

Department: Insurance

Reports to: Appointed Actuary

Location: [City], [office, branch or site]

About the role

An Actuarial Analyst supports the actuarial function with pricing, reserving, valuation and data analysis. They build and run models, prepare experience studies, and turn numbers into clear analysis for the actuaries and product teams. The role reports to the Appointed Actuary or an actuarial manager. A good actuarial analyst produces accurate, well documented models, meets valuation and pricing deadlines, spots errors and odd results before they go up, explains findings clearly, and steadily clears actuarial exams while learning the business behind the numbers.

Key responsibilities

  • Build and run pricing models for new and existing insurance products.
  • Support the valuation of liabilities and reserves at each financial close.
  • Prepare experience studies on mortality, morbidity, lapse and expenses.
  • Clean and analyse policy and claims data for actuarial work.
  • Check model results for errors and odd outputs before they are used.
  • Document models, assumptions and methods clearly for review and audit.
  • Prepare analysis and exhibits for regulatory and management reports.
  • Support product profit testing and sensitivity analysis for new and repriced products.
  • Respond to queries from product, finance and underwriting teams.
  • Keep learning the business and progress through actuarial exams.

Requirements

  • Graduate in actuarial science, statistics or mathematics
  • Cleared several actuarial exams
  • Progressing toward actuarial associateship
  • 1 to 4 years in an actuarial role

KRAs and KPIs for a Actuarial Analyst

Key result areas for the appraisal form, each with a KPI you can measure every month or quarter.

Key result areaHow to measure it
Model accuracyModel and calculation errors found in review kept below the agreed level
TimelinessValuation and pricing deliverables completed by the due dates
DocumentationModels and assumptions documented to the agreed standard
Data qualityData checks completed so results rest on clean data
Analysis clarityAnalysis accepted by reviewers without major rework above target
Exam progressActuarial exams cleared against the agreed study plan

Skills and tools

Actuarial modellingPricing and reservingExperience analysisData analysisAdvanced ExcelR or PythonStatistical methodsDocumentationAttention to detailClear explanation

Tools used day to day: Prophet or actuarial software, R or Python, Advanced Excel, SQL, Valuation models.

Reporting line and career path

Appointed ActuaryActuarial Analyst
Moves up from: Actuarial Trainee, Data Analyst, Statistics Graduate
Next roles: Senior Actuarial Analyst, Actuarial Manager, Appointed Actuary

Interview questions for a Actuarial Analyst

  1. How do you check a pricing model for errors before it is used?
  2. How do you run an experience study on lapses?
  3. How do you explain a technical result to a product manager?
  4. How do you keep model documentation clear enough for audit?
  5. How do you clean and validate data for a valuation?
  6. How do you plan your actuarial exams alongside work?

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Frequently asked questions

What does an Actuarial Analyst do?

An Actuarial Analyst supports the actuarial function with pricing, reserving, valuation and data analysis. They build and run models, prepare experience studies, check results for errors and document methods clearly. They turn data into analysis for the actuaries and product teams while progressing through actuarial exams.

What qualifications does an Actuarial Analyst need?

Most roles ask for a graduate degree in actuarial science, statistics or mathematics and several cleared actuarial exams, with progress toward associateship. Employers value strong data and modelling skills, careful checking, and the ability to explain results clearly to non actuaries.

How do you become an actuary in India?

You clear the actuarial exams of the Institute of Actuaries of India while working in an actuarial role, moving from student to associate and then fellow. Most people start as actuarial analysts or trainees, gaining pricing, reserving and valuation experience alongside their exams over several years.