Revolution Technologies
Quantitative Data Model Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantitative Data Model Analyst in Raritan, NJ, with a 12+ month contract. Key skills include proficiency in Python, R, and statistical software, along with experience in quantitative modeling, risk assessment, and familiarity with supply chain logistics.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 10, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Raritan, NJ
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🧠 - Skills detailed
#Documentation #Python #BI (Business Intelligence) #Tableau #Programming #Spark (Apache Spark) #Mathematics #ML (Machine Learning) #Data Science #Datasets #Matlab #R #Big Data #Visualization #Microsoft Power BI #Hadoop #Statistics #Data Analysis #Predictive Modeling #Computer Science
Role description
Quantitative Data Model Analyst
Raritan, NJ
• 100% Onsite initially but expected it to transition to more of a Hybrid Onsite based on performance.
12+ Month Contract
Description:
We are looking for a strategic thinker with a passion for analytics, finance, and supply chain management.
Quantitative Model Analyst Responsibilities & Duties
· Develop and optimize mathematical models to solve complex business problems.
· Validate and back-test models to ensure accuracy and reliability.
· Analyze large, structured, and unstructured datasets.
· Collaborate with diverse teams to understand and meet their modeling needs.
· Communicate findings and insights effectively to both technical and non-technical stakeholders.
· Prepare detailed reports and documentation of model methodologies.
· Work with data scientists and engineers to integrate models into production systems.
· Identify data patterns and trends to provide actionable insights.
· Assist in risk management by quantifying potential risks and impacts.
Quantitative Model Analyst Qualifications & Skills
· Education: Master's degree or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science) or a Bachelor's with proven experience.
Experience:
o Proven experience in quantitative modeling, data analysis, and risk assessment.
o Familiarity with supply chain modeling, optimization, and logistics is a plus.
o Experience with machine learning algorithms and predictive modeling techniques.
o Strong understanding of financial markets and investment principles.
o Familiarity with big data technologies like Hadoop or Spark.
· Technical Skills:
o Proficiency in programming languages like Python, R, or MATLAB.
o Proficiency in statistical software.
o Experience with data visualization tools (e.g., Tableau, Power BI).
o Strong mathematical and statistical foundation.
· Soft Skills:
o Excellent problem-solving, analytical, and organizational skills.
o Strong communication skills to explain complex models clearly.
o Ability to work independently, manage multiple projects simultaneously, and maintain a high level of attention to detail and accuracy.
Quantitative Data Model Analyst
Raritan, NJ
• 100% Onsite initially but expected it to transition to more of a Hybrid Onsite based on performance.
12+ Month Contract
Description:
We are looking for a strategic thinker with a passion for analytics, finance, and supply chain management.
Quantitative Model Analyst Responsibilities & Duties
· Develop and optimize mathematical models to solve complex business problems.
· Validate and back-test models to ensure accuracy and reliability.
· Analyze large, structured, and unstructured datasets.
· Collaborate with diverse teams to understand and meet their modeling needs.
· Communicate findings and insights effectively to both technical and non-technical stakeholders.
· Prepare detailed reports and documentation of model methodologies.
· Work with data scientists and engineers to integrate models into production systems.
· Identify data patterns and trends to provide actionable insights.
· Assist in risk management by quantifying potential risks and impacts.
Quantitative Model Analyst Qualifications & Skills
· Education: Master's degree or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science) or a Bachelor's with proven experience.
Experience:
o Proven experience in quantitative modeling, data analysis, and risk assessment.
o Familiarity with supply chain modeling, optimization, and logistics is a plus.
o Experience with machine learning algorithms and predictive modeling techniques.
o Strong understanding of financial markets and investment principles.
o Familiarity with big data technologies like Hadoop or Spark.
· Technical Skills:
o Proficiency in programming languages like Python, R, or MATLAB.
o Proficiency in statistical software.
o Experience with data visualization tools (e.g., Tableau, Power BI).
o Strong mathematical and statistical foundation.
· Soft Skills:
o Excellent problem-solving, analytical, and organizational skills.
o Strong communication skills to explain complex models clearly.
o Ability to work independently, manage multiple projects simultaneously, and maintain a high level of attention to detail and accuracy.
