Risk Data Scientist
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Risk Data Scientist - BigTalent | Career Page
Risk Data Scientist
Cape Town, Western Cape, South Africa
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Job Openings Risk Data Scientist
About the job Risk Data Scientist
You'll join a high-impact analytics team supporting an SME lending (Merchant Cash Advance) business, where your work directly influences credit decisioning and portfolio performance.
This is a hands-on role for a true data scientist—someone who can pull, prep, and analyse their own data, build robust models (beyond reporting), and partner closely with the business in a fast-moving, lean environment. The team is primarily Cape Town-based and typically works in a hybrid setup (around 2–3 days in office).
- Build and refine quantitative models to support SME lending decisions, including credit risk and cash flow modelling approaches.
- Develop and evaluate machine learning models (e.g., tree-based/boosted models) and translate findings into clear, actionable recommendations.
- Pull, clean, and prepare data independently using SQL and/or Python, ensuring analysis is reproducible and fit for purpose.
- Partner closely with business stakeholders (e.g., credit, operations, collections) to understand problems, define success metrics, and deliver analytical solutions.
- Support model handover to engineering for production deployment by documenting assumptions, features, and performance considerations.
- Own and drive analytical workstreams end-to-end, operating effectively in a fast-moving, lean team environment.
Qualifications and Skills Requirements
- Bachelors or Masters degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.
- 4+ years of experience in data science, with expertise in predictive modeling and machine learning.
- Strong proficiency in Python or R, SQL (BigQuery), and data visualization tools (Tableau, Looker Studio).
- Experience with machine learning algorithms and big data technologies (GCP, Hadoop, Spark).
- Excellent communication, problem-solving, and analytical skills.
- Strong business acumen and ability to work independently or within a team.
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Skills
- Machine Learning
- SQL
- Python
- R
- BigQuery
- Tableau
- Looker Studio
- GCP
- Hadoop
- Spark
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