

Collabera
Quantitative Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Quant Developer/Quantitative Modeler for a banking client, hybrid in Charlotte, NC, with a 12-month contract at $75-80/hr. Requires 5+ years in quantitative analytics, expertise in cross-margin methodologies, and advanced Python skills.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
640
-
ποΈ - Date
June 16, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Charlotte, NC
-
π§ - Skills detailed
#Programming #GitHub #Statistics #AI (Artificial Intelligence) #SQL (Structured Query Language) #Data Science #Mathematics #Python #Calculus #Model Validation
Role description
Position Details:
Client: Banking
Job Title: Senior Quant Developer / Quantitative Modeler
Location: Hybrid role in Charlotte, NC 28202 (3 day onsite)
Schedule: Mon-Fri: Basic Business hours
Duration: 12 Months + Possible Extension
Start Date: ASAP - Apply Now !
Pay-range: 75-80/hr
Job Description:
This appears to be a Bank - Quantitative Analytics Specialist 4 (Contingent) opening focused on Counterparty Credit Risk (CCR) modeling, specifically cross-margin methodology development within Capital Markets.
Role Focus Area:
Counterparty Credit Risk modeling (not pricing models)
Cross-margin methodologies in prime brokerage/derivatives businesses
Quantitative model development and enhancement
Heavy Python development
Market risk modeling (VaR) without CCR exposure.
Pricing model development without margin methodology experience.
Pure Python development without quantitative finance.
Data science backgrounds lacking derivatives knowledge.
Skill Weighting (Very Important)
1. Cross-Margin Expertise - 50%
Prime Brokerage margin methodologies
Cross-product margin offsets
Clearing/CCP margin concepts
Counterparty exposure management
1. Mathematics & Quantitative Modeling - 30%
Probability & Statistics
Stochastic Processes
Analytical formula derivation
Model validation and gap analysis
1. Programming - 20%
Python (expert)
SQL
AI coding tools (GitHub Copilot or similar)
Additional Details:
5+ years in quantitative analytics
Counterparty Credit Risk experience
Prime Brokerage or Clearing experience
Cross-margin methodology knowledge
Advanced Python development skill
Strong mathematical background (Statistics, Stochastic Calculus, Financial Engineering)
Experience with exposure models (PFE/EPE/EAD)
Note:Β The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - ASΒ Applicable)
Position Details:
Client: Banking
Job Title: Senior Quant Developer / Quantitative Modeler
Location: Hybrid role in Charlotte, NC 28202 (3 day onsite)
Schedule: Mon-Fri: Basic Business hours
Duration: 12 Months + Possible Extension
Start Date: ASAP - Apply Now !
Pay-range: 75-80/hr
Job Description:
This appears to be a Bank - Quantitative Analytics Specialist 4 (Contingent) opening focused on Counterparty Credit Risk (CCR) modeling, specifically cross-margin methodology development within Capital Markets.
Role Focus Area:
Counterparty Credit Risk modeling (not pricing models)
Cross-margin methodologies in prime brokerage/derivatives businesses
Quantitative model development and enhancement
Heavy Python development
Market risk modeling (VaR) without CCR exposure.
Pricing model development without margin methodology experience.
Pure Python development without quantitative finance.
Data science backgrounds lacking derivatives knowledge.
Skill Weighting (Very Important)
1. Cross-Margin Expertise - 50%
Prime Brokerage margin methodologies
Cross-product margin offsets
Clearing/CCP margin concepts
Counterparty exposure management
1. Mathematics & Quantitative Modeling - 30%
Probability & Statistics
Stochastic Processes
Analytical formula derivation
Model validation and gap analysis
1. Programming - 20%
Python (expert)
SQL
AI coding tools (GitHub Copilot or similar)
Additional Details:
5+ years in quantitative analytics
Counterparty Credit Risk experience
Prime Brokerage or Clearing experience
Cross-margin methodology knowledge
Advanced Python development skill
Strong mathematical background (Statistics, Stochastic Calculus, Financial Engineering)
Experience with exposure models (PFE/EPE/EAD)
Note:Β The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - ASΒ Applicable)





