Tech Interacts Inc
Quantitative Analytics Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantitative Analytics Specialist with 8+ years of experience, including 4+ years in Quantitative Analytics. Requires expertise in counterparty risk, proficiency in Python and SQL, and a degree in Mathematics or related field. Hybrid location in Charlotte, NC.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 17, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
-
🧠 - Skills detailed
#Model Validation #Data Analysis #Risk Analysis #Python #SQL (Structured Query Language) #Statistics #Mathematics
Role description
Role: Quantitative Analytics Specialist 3 (Contingent)
Client: Wells Fargo
Location: 301 S Tryon St., Charlotte, NC – Hybrid/Onsite
W2
Local only
Experience:
8+ years
• 4+ years in Quantitative Analytics or related functions.
• Background in counterparty risk or prime brokerage is essential.
• Should have performed risk analysis in these environments.
• Technical Skills:
• Working knowledge of Python and SQL (light to moderate level).
• Experience using Python/SQL for data analysis, not software development.
• Education:
• Bachelor’s or Master’s in Mathematics, Statistics, Computational Finance, or related field.
• Strong theoretical and mathematical understanding of data.
• Soft Skills:
• Excellent communication, analytical thinking, and problem-solving ability.
Role Responsibilities
• Support moderately complex initiatives in Quantitative Analytics.
• Analyze and resolve quantitative and risk analytics challenges.
• Develop, enhance, and maintain the PEAC model for counterparty risk in the Prime Brokerage business.
• Collaborate with Risk Management, Model Validation, and Technology teams.
Role: Quantitative Analytics Specialist 3 (Contingent)
Client: Wells Fargo
Location: 301 S Tryon St., Charlotte, NC – Hybrid/Onsite
W2
Local only
Experience:
8+ years
• 4+ years in Quantitative Analytics or related functions.
• Background in counterparty risk or prime brokerage is essential.
• Should have performed risk analysis in these environments.
• Technical Skills:
• Working knowledge of Python and SQL (light to moderate level).
• Experience using Python/SQL for data analysis, not software development.
• Education:
• Bachelor’s or Master’s in Mathematics, Statistics, Computational Finance, or related field.
• Strong theoretical and mathematical understanding of data.
• Soft Skills:
• Excellent communication, analytical thinking, and problem-solving ability.
Role Responsibilities
• Support moderately complex initiatives in Quantitative Analytics.
• Analyze and resolve quantitative and risk analytics challenges.
• Develop, enhance, and maintain the PEAC model for counterparty risk in the Prime Brokerage business.
• Collaborate with Risk Management, Model Validation, and Technology teams.
