Quantitative Model Developer – Risk Analytics & Capital Markets

Location: Charlotte, NC - Onsite
Duration: Long-Term Contract
Industry: Financial Services / Capital Markets

About the Opportunity

We are seeking an experienced Quantitative Model Developer to join a high-performing Risk & Analytics team supporting enterprise-level capital markets and exposure management initiatives. This role is ideal for a quantitative professional who enjoys solving complex mathematical problems, developing sophisticated risk methodologies, and building scalable analytical solutions in a fast-paced financial environment.

You will work closely with quantitative analysts, risk managers, technology teams, and senior business stakeholders to enhance critical risk analytics frameworks used across complex financial products and portfolios.

This position offers excellent visibility, challenging analytical work, and the opportunity to contribute directly to strategic decision-making across the organization.

Key Responsibilities

Quantitative Modeling & Analytics

• Develop, enhance, and maintain quantitative models used for exposure measurement, risk assessment, and portfolio analytics.
• Analyze existing methodologies and identify opportunities for optimization and performance improvement.
• Apply advanced statistical, probabilistic, and stochastic modeling techniques to solve complex business and risk management challenges.
• Validate assumptions, derive mathematical models, and evaluate model performance.
• Support model governance, documentation, testing, and validation activities.

Python Development & Analytical Solutions

• Design and develop Python-based analytical libraries, quantitative tools, and reusable modeling frameworks.
• Build prototypes and collaborate with technology teams to support production implementation.
• Leverage automation and modern development practices to improve efficiency and scalability.
• Utilize SQL to extract, analyze, and validate large datasets used in quantitative models.

Stakeholder Collaboration

• Partner with risk management, quantitative research, technology, and business teams to deliver analytical solutions.
• Translate business requirements into technical and quantitative specifications.
• Communicate complex quantitative concepts to both technical and non-technical audiences.
• Support strategic initiatives through data-driven analysis and model enhancements.

Operational Excellence

• Deliver model enhancements, analytics, and documentation within established timelines.
• Support evolving business priorities and analytical requests.
• Ensure compliance with internal controls, governance standards, and risk management frameworks.
• Mentor junior analysts and contribute to knowledge-sharing initiatives.

Required Qualifications

• 5+ years of experience in Quantitative Analytics, Quantitative Modeling, Financial Engineering, Risk Analytics, or a related field.
• Strong Python programming skills with experience developing scalable analytical solutions.
• Advanced SQL skills and experience working with large and complex datasets.
• Solid foundation in:
  • Mathematics
  • Statistics
  • Probability Theory
  • Stochastic Modeling
  • Quantitative Analysis
• Experience developing, enhancing, implementing, or validating quantitative models.
• Strong analytical thinking and problem-solving abilities.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience supporting:
  • Risk Analytics
  • Exposure Analytics
  • Capital Markets
  • Trading Analytics
  • Counterparty Risk
  • Market Risk
  • Credit Risk
• Experience working with derivatives, structured products, or other complex financial instruments.
• Familiarity with modern software development practices and AI-assisted development tools.
• Prior experience mentoring analysts or developers.
• Advanced degree in:
  • Mathematics
  • Statistics
  • Financial Engineering
  • Physics
  • Economics
  • Computer Science
  • Related quantitative discipline

Desired Technical Skills

• Python
• SQL
• Quantitative Modeling
• Statistical Analysis
• Stochastic Processes
• Risk Analytics
• Financial Engineering
• Data Analysis
• Model Validation
• Capital Markets
• Exposure Modeling
• Financial Mathematics