
Lead Quantitative Analyst
6 days ago
As a skilled Data Scientist, you will be responsible for extracting valuable insights from large and complex data sets to drive business improvements.
This role involves analyzing raw data, cleansing, and structuring it for downstream processing. You will design accurate, scalable, and efficient algorithms to meet business needs, collaborating with engineering teams to transition analytical prototypes into production systems.
Key responsibilities include developing and maintaining dashboards and reports for stakeholders to inform decision-making.
- Analyze and assess the quality of raw data.
- Design prediction algorithms that meet business requirements.
- Collaborate with engineering teams to implement analytical prototypes.
- Develop and maintain data visualization tools and reports.
Requirements
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering.
- 3–5 years of professional experience in quantitative analytics, data modeling, or applied machine learning.
- Strong understanding of predictive modeling, machine learning, clustering, classification techniques, and algorithms.
- Proficiency in programming languages such as Python, R, or SQL.
- Familiarity with big data frameworks and cloud environments like Hadoop, Spark, GCP, AWS, or Azure.
- Hands-on experience with data visualization tools like Tableau, Power BI, or equivalent.
- Strong problem-solving skills and ability to communicate complex concepts to non-technical stakeholders.
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