Short-Term Pricing Actuarial Analyst

Recruiter:

Network Recruitment

Job Ref:

NFP016671/ZG

Date posted:

Thursday, March 12, 2026

Location:

Johannesburg, South Africa

Salary:

Annually

SUMMARY:
Are you a nearly qualified Actuary with a strong technical background in pricing, modelling, and advanced analytics? This opportunity is ideal for an actuarial professional who enjoys building models from first principles, applying modern machine-learning techniques, and turning complex data into meaningful commercial insights.

POSITION INFO:
A leading organisation is looking to appoint a nearly qualified Actuary to support its actuarial and analytics teams through advanced model development, technical pricing work, and cross-functional collaboration. This role offers the opportunity to work on sophisticated actuarial platforms while contributing to strategic decisions that directly impact profitability and long-term risk management.

If you thrive in a technically challenging environment and enjoy taking ownership of end-to-end actuarial modelling, this could be the perfect next step in your career.

Key Responsibilities

Develop pricing models from first principles and enhance existing actuarial models.
Apply advanced modelling techniques including GLMs, decision trees, machine learning models, and ensemble methods such as Gradient Boosting and XGBoost.
Build and maintain modelling workflows using tools and libraries such as Python, pandas, scikit-learn, and XGBoost.
Work extensively with Emblem to design, calibrate, and implement actuarial pricing models.
Develop actuarial models across pricing, reserving, or capital modelling, depending on your area of expertise.
Evaluate model performance, document methodologies, and translate outputs into clear business insights.
Support automation initiatives and contribute to machine learning deployment processes.
Collaborate with actuarial, analytics, and product teams to ensure robust modelling and strong commercial outcomes.
Present technical findings and insights to key stakeholders and decision-makers.

Job Experience & Skills Required

Education:

Nearly qualified Actuary with a minimum of 10 actuarial exams completed.

Experience:

5+ years’ experience in actuarial or data science roles (pricing, risk, or analytics).
Demonstrated experience building actuarial models from first principles.
Clear exposure to at least one core actuarial discipline: pricing, reserving, or capital modelling.
Proven ability to deliver measurable business impact through modelling and analytics.

Technical Skills:

Strong proficiency in Emblem (essential).
Experience with Python, R, SQL, and Power BI.
Exposure to actuarial modelling platforms such as Emblem, Radar, or ResQ.
Earnix experience would be advantageous.
Knowledge of machine learning techniques, including GLMs, decision trees, gradient boosting, and ensemble modelling.
Experience building automated analytical workflows and deploying models.

Commercial Skills:

Ability to translate complex datasets into clear, actionable business insights.
Strong communication skills with the ability to engage and influence stakeholders.
Excellent analytical thinking and problem-solving ability.
Regulatory Advantage
Exposure to regulatory frameworks such as SAM or IFRS 17 would be beneficial.

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