Description

Develop and maintain statistical models to optimize operational processes, capital allocation, and pricing strategies.

This role is on-site.

Responsibilities

• Develop predictive and descriptive models using linear regression, Bayesian analyses, and advanced statistical procedures.
• Manipulate large datasets across various servers and structures to perform complex analyses.
• Provide growth and profitability insights through historical business analysis and industry trend forecasting.
• Communicate model impact to senior leaders as a liaison between consumer, network, and finance stakeholders.
• Maintain model risk metrics, repositories, and scorecards while driving remediation of oversight issues.

Required Skills

• 5+ years of experience developing and implementing statistical models.
• Proficiency in Python for statistical analysis and programming.
• Strong experience with SQL in an RDBMS environment.
• Hands-on experience with SSMS.
• Expertise in data management, mining, and manipulation.
• Ability to perform complex data analysis from multiple disparate sources.
• Strong written and oral communication skills for stakeholder engagement.

Preferred Skills

• Graduate or Ph.D. degree in applied mathematics, physics, computer science, or operations research.

Key Skills

Education

Any Graduate