
Senior Quantitative Analyst
5 days ago
A key role exists for an experienced quantitative professional with advanced analytics and data modeling expertise.
- Collaborate with stakeholders to identify opportunities for leveraging data to solve business challenges and improve outcomes
- Utilize tools such as Python, R, SQL, and Spark to mine and analyze structured and unstructured data
- Develop predictive models, simulations, and machine learning algorithms to optimize customer experience, revenue, and operational efficiency
- Assess and validate new data sources and collection methods for accuracy and relevance
- Design custom data models and scalable algorithms tailored to business needs
- Use Power BI to visualize insights and communicate findings effectively
- Lead the automation of data flows, reporting, and analytical processes using Python, R, Power Query, and cloud-based tools
- Coordinate with engineering, product, and business teams to deploy models and monitor performance
- Design tools and processes to track model accuracy, data quality, and business impact
- Deliver training modules and mentor junior analysts to build analytical capability across the organization
Required skills and qualifications include:
Education: Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
Experience: At least 2 years' of experience in quantitative analytics or data modeling
Key Skills: Advanced analytics, statistical modeling, machine learning, Python, R, Power BI, SQL, data visualization, process mapping, redesign, automation, stakeholder management
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