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Data Analyst
3 months ago
We're seeking a seasoned Data Scientist to lead the development of cutting-edge credit risk models. As a key member of our team, you'll collaborate with cross-functional teams to align business objectives with data strategies.
Key Responsibilities:
- Design, implement, and optimize Machine Learning models to tackle complex business challenges.
- Analyze large datasets to deliver actionable insights for data-driven decision-making.
- Present findings and model results to executives and stakeholders in an impactful way.
- Stay updated with the latest Data Science and Machine Learning advancements.
Qualifications:
- BSc in Mathematics, Statistics, or Actuarial Science (Honours/Masters preferred).
- 3-5 years of experience as a Data Scientist, especially within Banking, Telecommunications, or Insurance.
- Proven expertise in Machine Learning, model-building, and data analysis.
- Proficiency in Python, R, SQL, or similar statistical programming languages.
- Strong problem-solving skills, with the ability to turn data into actionable insights.
- Excellent communication skills to present complex data to non-technical stakeholders.
Apply your skills and expertise to drive innovation in credit risk solutions and make a meaningful impact.