Enterprise Solutions Inc.
Quantitative Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Quantitative Developer (Contract, Remote – US) offering $60–$75/hr. Requires a Master's degree, 5+ years in quantitative finance software development, and proficiency in Python, APIs, and machine learning. Financial services experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
November 6, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Illinois, United States
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🧠 - Skills detailed
#Django #Statistics #TensorFlow #Scala #Flask #NLP (Natural Language Processing) #Predictive Modeling #Python #ML (Machine Learning) #Libraries #NumPy
Role description
Hiring: Quantitative Developer (Remote – US)
Location: United States (Remote)
Type: Contract
Rate: $60–$75/hr
We're seeking a Quantitative Developer to build logic-intensive components for a digital wealth management platform. This role focuses on developing computational libraries and APIs for portfolio optimization, Monte Carlo simulations, trading algorithms, and financial health models.
Key Requirements:
• Master's degree or equivalent experience
• 5+ years in quantitative finance software development
• 3+ years building scalable Python applications and APIs
• Strong grasp of applied statistics and algorithm design
• Experience with NumPy, Scikit-learn, TensorFlow
• Familiarity with machine learning, NLP, predictive modeling
• Python frameworks: Django or Flask
• Experience with RESTful APIs and containerization
• Background in financial services or wealth management preferred
PhD and behavioral finance modeling experience are a plus.
Hiring: Quantitative Developer (Remote – US)
Location: United States (Remote)
Type: Contract
Rate: $60–$75/hr
We're seeking a Quantitative Developer to build logic-intensive components for a digital wealth management platform. This role focuses on developing computational libraries and APIs for portfolio optimization, Monte Carlo simulations, trading algorithms, and financial health models.
Key Requirements:
• Master's degree or equivalent experience
• 5+ years in quantitative finance software development
• 3+ years building scalable Python applications and APIs
• Strong grasp of applied statistics and algorithm design
• Experience with NumPy, Scikit-learn, TensorFlow
• Familiarity with machine learning, NLP, predictive modeling
• Python frameworks: Django or Flask
• Experience with RESTful APIs and containerization
• Background in financial services or wealth management preferred
PhD and behavioral finance modeling experience are a plus.
