Information Scientist – KwaZulu-Natal Durban

Quantitative Analyst / Information Scientist – La Lucia / Durban
Key Function
To develop, handle and monitor superior and related predictive fashions, to supply superior analytical assist to enterprise items, to critically analyze and advise the enterprise on knowledge pushed worth provides, and create and keep correct knowledge, dashboards, and administration reviews.

Key Outcomes
Mannequin Improvement

  • Improvement of latest predictive fashions according to enterprise necessities.
  • Profitable deployment of predictive fashions.
  • Engagement with key stakeholders round enterprise necessities for fashions

Mannequin Administration

  • Handle month-to-month monitoring and common updates of present predictive fashions.
  • Put together evaluation/commentary for mannequin administration conferences.
  • Reporting to third get together funders on mannequin administration.
  • Guarantee mannequin administration course of is carried out in accordance with insurance policies outlined.
  • Interrogate present fashions and determine doable crimson flags
  • Analysis newest mannequin constructing methodologies

Information Analytics to assist enterprise wants

  • Advert-hoc analytics / knowledge science initiatives as required by enterprise
  • Month-to-month evaluation on key credit score threat areas (loss management/credit score)
  • Help in constructing the Information science capabilities of the analytics staff
  • Proactive enterprise engagement to know analytical requirement
  • Proactive suggestions to enterprise on worth added knowledge pushed analytics
  • Automation

Information improvement and upkeep

  • Help and advise on creating and sustaining knowledge within the optimum method

Management/Workers coaching

Minimal Necessities

  • Honours diploma in Statistics/Arithmetic
  • Most popular – Grasp’s Diploma in Statistics/Arithmetic


  • 2-5 years’ expertise in scoring system improvement and credit score threat analytics (retail)
  • Most popular: 5-8 years expertise in scoring system improvement and credit score threat analytics (retail) – 2 of which at senior degree

Most popular Trade – Monetary / Credit score threat analytics

Technical (not less than among the beneath expertise might be obligatory)

  • SQL coding
  • R
  • Superior Excel
  • Python (advantageous)
  • Denodo (advantageous)
  • SAS (advantageous)
  • Predictive modelling or monetary modelling
  • Machine studying (advantageous)
  • Publicity to IFRS9 modelling (extremely advantageous)
  • Capability to work with giant quantities of knowledge

Generic competencies

  • Analytical, important and logical thinker
  • Understands the necessity for knowledge pushed choices
  • Capability to learn and assimilate a specification of knowledge necessities
  • Proactive character
  • Tolerance to alter
  • Consideration to element
  • Accountability and possession of labor duties
  • Self motivated
  • Capability to work inside a staff and as a person
  • Adjust to venture administration protocol
  • Enthusiasm/curiosity in credit score threat administration
  • Sense of humour
  • Resilience
  • Tenacity
  • Capability to work underneath stress
  • Good time administration.

Desired Abilities:

  • Monetary Modelling
  • SQL
  • Superior Excel
  • Python
  • Predictive modelling
  • Denodo

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