
Quantitative Analyst
3 days ago
The ideal candidate will leverage their analytical skills to drive business growth.
- Extract insights from complex data sets using strong collaboration and problem-solving skills.
- Assess, cleanse, and structure raw data for efficient processing.
- Design scalable and accurate prediction algorithms.
Required Skills
- Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- 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
Key Responsibilities Include
- Collaboration with engineering teams to transition prototypes into production systems.
- Generating actionable insights to drive business improvements and decision-making.
Benefits
- Hands-on experience with big data frameworks and cloud environments (e.g., Hadoop, Spark, GCP, AWS, or Azure)
- Familiarity with data visualization tools (Tableau, Power BI, or equivalent)
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