Job Details

Credit Risk & Data Science Internship

About

Description

We are seeking a detail-oriented and analytically minded intern with a numerical degree/diploma to join our team. This role is ideal for candidates passionate about data-driven decision-making, problem-solving, and applying mathematical/statistical skills in a business or technical environment. You’ll gain hands-on experience in data analysis, financial modeling, or operational research, depending on the team’s focus

Responsibilities

  • Data Analysis & Reporting: Collect, clean, and analyze large datasets using tools like Excel, SQL, Python, or R
  • Generate reports, dashboards, and visualizations (Power BI, Tableau) to support business decisions
  • Assist in identifying trends, patterns, and insights from data
  • Financial/Quantitative Modeling (if applicable): Support financial forecasting, budgeting, or risk assessment tasks
  • Assist in building and validating statistical/econometric models
  • Conduct market research and competitive analysis
  • Process Optimization & Problem-Solving: Use analytical skills to identify inefficiencies and propose solutions
  • Collaborate with teams to automate repetitive tasks (e
  • g
  • , via Excel macros or scripting)
  • Research & Documentation: Compile research on industry trends, benchmarks, or regulatory changes
  • Document methodologies and present findings to stakeholders

Qualifications

  • · A completed Numerate Degree / Diploma (BSc, BCom, Bus Sci, BEng) · Examples of numerate Degrees / Diplomas: Engineering, Mathematics, Statistics, Computer science, Accounting, Finance, Economics, Business Studies, Actuarial science, Banking, Chemistry, Physics, Information technology or any other degree which equips students with the ability to manipulate data and to apply math skills

Application instructions:

  • Click on the link..

Hiring organization

Hiring organization image

homechoice

Employment Type: internship

Job Location: Cape Town, South Africa

Base Salary: market related

Closing Date:

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