Quantitative Analyst

SUMMARY:
Data Scientists Extraordinaire: Fuel Innovation with Machine Learning!

POSITION INFO:

Are you a driven Data Scientist with expertise in machine learning and experience in the Banking, Telecommunications, or Insurance sectors? Eager to apply your model-building skills to fuel innovation? Join the team and make an impact!

Key skills: Machine Learning, K-Means, Linear Regression, Logistic Regression, Decision Trees, and NLP.

Key Responsibilities:

• Develop, implement, and optimize machine learning models to tackle complex business challenges.
• Analyze large datasets to deliver actionable insights for data-driven decision-making.
• Collaborate with cross-functional teams to align business objectives with data strategies.
• Present findings and model results to executives and stakeholders in an impactful way.
• Continuously improve models to meet evolving data and business needs.
• Stay updated with the latest data science and machine learning advancements.

• 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.