Quantitative Analyst
Title: Quantitative Analyst
6 Month Contract with likelihood of extensions and potential to convert.
Location: REMOTE
About the Role: We are seeking a skilled "Quantitative Analyst" to join our team. You will work closely with a dynamic team of data professionals, including Data Scientists, ML DevOps Engineers, and other Quantitative Analysts, to provide data-driven insights that support decision-making within our organization. This role focuses on developing models to optimize operations, improve predictive maintenance, and support key business initiatives.
Key Responsibilities:
• Develop and implement quantitative models to address business problems, including predictive maintenance, lease pricing, and component failure.
• Collaborate with cross-functional teams to gather requirements, design solutions, and present actionable insights.
• Analyze large, complex datasets to identify patterns, trends, and opportunities for operational improvements.
• Conduct data mining and investigation to support AI modeling and other AI-based project solutions.
• Support and coordinate meetings for various efforts identified on the roadmap, including literacy programming and data science advisory board initiatives.
Skills and Qualifications:
• Advanced knowledge in data governance and data quality standards.
• Exceptional presentation and analytical skills.
• Python and SQL: Hands-on experience in data wrangling using Python and SQL, including data cleaning, transformation, and integration.
• Data Manipulation: Proven ability to handle large datasets and perform complex data manipulations using Python and SQL.
• Data Analysis: Perform data wrangling tasks to support analytical projects, ensuring data quality and consistency.
• Ability to articulate the complexities of findings to a wide range of audiences and design intuitive visualizations to illustrate and support analysis and recommendations.
• Team player with the ability to work collaboratively and comfortably with employees who have diverse skills and experience and are in different geographies and levels within the organization.
• Possess an affinity for rigorous data analysis and present data in a manner that provokes thought and new insights, adding value to clients.
• Use granular and detailed data to build a holistic view of the world and identify outliers within massive datasets.
• Adept at prioritization and project management with attentiveness to detail and consistent follow-through.
Preferred Qualifications:
• Experience in developing and implementing machine learning models.
• Knowledge of AI and its applications in business.
• LLM or Azure experience is a plus
• Experience in the rail transportation industry or similar fields.
Title: Quantitative Analyst
6 Month Contract with likelihood of extensions and potential to convert.
Location: REMOTE
About the Role: We are seeking a skilled "Quantitative Analyst" to join our team. You will work closely with a dynamic team of data professionals, including Data Scientists, ML DevOps Engineers, and other Quantitative Analysts, to provide data-driven insights that support decision-making within our organization. This role focuses on developing models to optimize operations, improve predictive maintenance, and support key business initiatives.
Key Responsibilities:
• Develop and implement quantitative models to address business problems, including predictive maintenance, lease pricing, and component failure.
• Collaborate with cross-functional teams to gather requirements, design solutions, and present actionable insights.
• Analyze large, complex datasets to identify patterns, trends, and opportunities for operational improvements.
• Conduct data mining and investigation to support AI modeling and other AI-based project solutions.
• Support and coordinate meetings for various efforts identified on the roadmap, including literacy programming and data science advisory board initiatives.
Skills and Qualifications:
• Advanced knowledge in data governance and data quality standards.
• Exceptional presentation and analytical skills.
• Python and SQL: Hands-on experience in data wrangling using Python and SQL, including data cleaning, transformation, and integration.
• Data Manipulation: Proven ability to handle large datasets and perform complex data manipulations using Python and SQL.
• Data Analysis: Perform data wrangling tasks to support analytical projects, ensuring data quality and consistency.
• Ability to articulate the complexities of findings to a wide range of audiences and design intuitive visualizations to illustrate and support analysis and recommendations.
• Team player with the ability to work collaboratively and comfortably with employees who have diverse skills and experience and are in different geographies and levels within the organization.
• Possess an affinity for rigorous data analysis and present data in a manner that provokes thought and new insights, adding value to clients.
• Use granular and detailed data to build a holistic view of the world and identify outliers within massive datasets.
• Adept at prioritization and project management with attentiveness to detail and consistent follow-through.
Preferred Qualifications:
• Experience in developing and implementing machine learning models.
• Knowledge of AI and its applications in business.
• LLM or Azure experience is a plus
• Experience in the rail transportation industry or similar fields.
