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Specialist Actuarial Data Scientist, Financial Services Sector/Banking

EXECUTIVE SEARCH STATUS: Current
POSITION: Specialist Actuarial Data Scientist/ Assistant Vice President – Specialist level
NATURE OF BUSINESS: Financial Services Sector/Banking
JOB LOCATION: Johannesburg, South Africa
REPORTS TO: Senior Manager: Actuarial Pricing Manager

 

SUMMARY OF EXECUTIVE OPPORTUNITY:

We have an opportunity for a short-term insurance actuary to join one of the “Big Four” banks. Within the short-term insurance environment, we are seeking an individual to fill a critical role in enhancing predictive pricing models, improving risk segmentation, and driving data-led commercial decision-making. The successful candidate will bridge actuarial rigor with modern data science techniques to deliver measurable business value. The person must have practical, applied modelling experience within a live insurance environment.

 

ROLE RESPONSIBLITY:

  • Lead the design, development, and deployment of predictive models across underwriting, claims, and customer segmentation. 
  • Integrate alternative and emerging data sources (e.g., geospatial, behavioural, and external risk datasets) to strengthen pricing accuracy and risk differentiation. 
  • Champion model transparency and governance, ensuring ethical data use, strong documentation, and a rigorous peer review framework. 
  • Collaborate closely with cross functional teams - including underwriting, claims, product, IT, and distribution - to deliver high impact analytical and pricing solutions.
  • Partner with enterprise wide analytics and data science teams to align on modelling best practices and adopt cutting edge techniques and tools.
  • Mentor junior analysts’ experience

KEY EXECUTIVE ATTRIBUTES REQUIRED:

  • Nearly qualified actuary with 5+ years of actuarial or data science experience in pricing, risk, or analytics. Minimum 10 actuarial exams completed.
  • Confirm current exam status and professional body membership (e.g. Actuarial Society of Sout Africa or Institute and faculty of Actuaries)
  • Clarify pricing vs reserving vs capital focus
  • Built pricing models using first principles
  • Ability to us various modelling techniques
  • Demonstrate (using examples) measurable business impact 
  • Machi8ne Learning application:- Advanced modelling expertise, including GLMs, decision trees, machine learning, and ensemble methods. (Gradient Boosting, XGBoost). Please elaborate on what Libararies where used (e.g. pandas, scikit-learn, XGBoost)
  • Emblem Software Essential
  • Nature of use (automatio0n, ML, deployment)
  • Strong technical proficiency in R, Python, SQL, Power BI, and actuarial platforms such as Emblem, Radar, and ResQ. (Experience with Earnix is a plus)
  • Commercial Translation Ability: - Demonstrated ability to transform complex datasets into actionable insights that drive business outcomes. 
  • Excellent analytical, problem solving, and communication skills, with the ability to influence stakeholders and explain complex concepts clearly.
  • Exposure to regulatory frameworks (e.g. SAM) or IFRS 17 will be advantageous

 

Send your details in confidence to: nicole.sindelman@amropwoodburnmann.co.za 


Note: Amrop Woodburn Mann will verify the qualifications of candidates prior to final client interview. Should you be interviewed by Amrop Woodburn Mann you will be asked to sign a consent form to permit us to verify your qualifications. Scanned copies of your degrees and diplomas may be asked for and can be sent to us when sending us your educational and career details.

Actuarial Data ScientistFinancial Services SectorBanking

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