13 Senior actuarial analyst Jobs and Work

Junior Actuarial Analyst
King Price Group —Pretoria, Gauteng
Actuary/Senior Actuarial Analyst
Badger Holdings —George, Western Cape
- Full-time
Actuarial Analyst
Badger Holdings —George, Western Cape
- Full-time
Junior Actuarial Analyst
Nedbank —Johannesburg, Gauteng
6d
Commercial Analyst - National
Frogfoot Networks (Pty) Ltd —Cape Town, Western Cape
Actuarial Analyst
Discovery Ltd. —Sandton, Gauteng 2196
6d
SENIOR DATA ANALYST / ANALYTICS LEAD
Ntiyiso Consulting Group —Midrand, Gauteng
- Full-time
Quick Apply
Accelerated Management Training Programme
Cartrack —Johannesburg, Gauteng
Senior Data Analyst (Banking)
Sanlam —Cape Town, Western Cape
1d
Chief Financial Officer (CFO)
Chubb —Johannesburg, Gauteng
- Full-time
5d
Senior Actuarial Analyst
Hannover Rück SE —South Africa
- Full-time
8d

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Junior Actuarial Analyst

King Price Group -
Pretoria, Gauteng

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Job Details

Permanent

Full Job Description

We’ve got a position available for a junior actuarial analyst

Company: Porcupine Union, part of the King Price Group

Purpose of position:

The Junior Actuarial Analyst supports our pricing and rating work: building and maintaining the models that determine what our clients charge, deriving and testing rating factors, and running the analyses that show whether a rate is adequate. Alongside that core, the role contributes to predictive modelling and general analytical work as demand requires.

Responsibilities:

Pricing and rating (core focus)

Assist in building, maintaining and testing pricing models for insurance and other client products.
Analyse claims and exposure experience to derive and validate rating factors and relativities.
Build and maintain rating tables and rating structures; test them for correctness before they go live.
Run rate reviews, rate adequacy assessments, sensitivity tests and scenario analyses under the guidance of senior colleagues.
Investigate the profitability of segments within a book and flag where rates appear inadequate or uncompetitive.
Support the implementation and testing of rating logic in client systems, including reconciling model output against system output.
Monitor how rates perform after implementation and contribute to periodic experience reviews.
Document model logic, assumptions, rating bases and limitations so that work is reviewable and repeatable.

Predictive modelling and data science:

Extract, clean and structure data from client systems and internal sources.
Build and test predictive and statistical models (for example propensity, retention, claims or collections models) under supervision.
Assess model performance and help monitor deployed models for drift and deterioration.
Contribute to the automation of recurring analysis so that manual effort is reduced over time.

General analytical support and delivery:

Turn around ad hoc analytical requests from internal teams and clients accurately and on time.
Produce clear tables, charts and short written summaries that a non-technical reader can act on.
Investigate data quality issues and flag them, with a proposed course of action, rather than working around them silently.
Support senior colleagues in preparing client-facing material and in meetings.

Requirements:

A completed (or final-year) Bachelor’s degree in Actuarial Science, Mathematics, Applied Mathematics, Statistics, Engineering, Econometrics or a closely related quantitative field.
Strong academic record in quantitative subjects.
Demonstrable ability to write code for data analysis in Python or R — through coursework, projects, internships or self-directed work.
Advanced Microsoft Excel skills.
Sound written and verbal communication in English, including the ability to explain a technical result to a non-technical audience.
Able to work from our Pretoria office.
0–2 years’ work experience. Graduates with no formal work experience are welcome to apply.

Skills and attributes:

Analytical rigour — checks their own work, understands why a number is what it is, and is uncomfortable presenting a result they cannot explain.
Intellectual honesty — says when they are unsure or when they have made an error; does not defend a result they no longer believe.
Curiosity and independent thinking — asks why the conventional approach is the right one, and is willing to voice a different view.
Learning agility — picks up unfamiliar techniques and tools quickly and applies them without extensive hand-holding.
Ownership and reliability — delivers what was agreed, on time, and communicates early when something is at risk.
Collaboration — works well within a small, busy team and shares knowledge rather than hoarding it.
Clear communication — translates technical work into language a commercial audience can use.

Should you not receive any feedback within ten (10) working days after the closing date, please accept your application as unsuccessful.

Apply Now

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