Description

You will leverage statistical modeling and data analysis to optimize operational processes, capital allocation, and pricing strategies.

Responsibilities

• Develop predictive and descriptive models using linear regression, Bayesian analyses, and other advanced statistical procedures.
• Manipulate large datasets and navigate various servers, data types, and structures to perform complex analyses.
• Provide insights into growth and profitability through historical business analysis and forecasting of industry trends.
• Act as a liaison between consumer, network, and finance stakeholders to communicate model impact to senior leaders.
• 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