Quantitative Analytics Specialist 4

About the role

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package. Our client has been around for over 150 years and is continuously innovating in today’s digital age.

Responsibilities

• Consult on complex initiatives with broad impact and large-scale planning for Quantitative Analytics
• Review and analyze complex multi-faceted, larger scale or longer-term Quantitative Analytics challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
• Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables
• Strategically collaborate and consult with Client personnel

Modeling & Quantitative Analysis

• Develop, enhance, and maintain counterparty credit risk models related to cross-margin methodologies
• Derive analytical formulas, validate assumptions, and identify gaps in existing implementations
• Improve or replace outdated models using modern stochastic and capital markets modeling techniques
• Support modeling across a range of complex financial products, including:
  • Equity swaps
  • Metals
  • Energy derivatives
  • Convertible bonds

Technical Development

• Lead the build-out and integration of Python-based quantitative libraries to support model development and validation activities
• Produce robust prototype models and partner with technology teams to transition them into production
• Utilize generative AI development tools (e.g., Copilot) to increase coding efficiency and automation
• Collaborate on database queries using strong SQL expertise

Cross-Functional Collaboration

• Communicate clearly with model owners, business partners, technology teams, auditors, and project managers
• Help translate business requirements into quant/model specifications and documentation
• Provide coaching and technical guidance to junior team members on both modeling and cross-margin concepts

Operational Readiness

• Respond quickly to urgent model requests driven by high-impact cross-margin exposures in the CIB business
• Ensure timely delivery of model enhancements, documentation, and validations

Required Skills & Experience

• 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
• Python (expert level) – ability to build, structure, and maintain quant libraries
• Experience using AI-assisted coding tools (Copilot or similar)
• SQL expertise – ability to query and manipulate large datasets
• Strong numerical skills and experience with stochastic modeling and capital markets models
• Ability to derive mathematical formulas and implement them programmatically
• Strong understanding of cross-margining concepts in prime brokerage or derivatives clearing
• Ability to identify and correct model gaps, inconsistencies, or legacy issues
• Solid foundation in probability, statistics, and stochastic processes

Desired Skills & Experience

• Experience in prime brokerage or margin methodology design
• Prior work with counterparty credit exposure models (e.g., PFE, EE, EAD)
• Familiarity with equities, commodities, energy, and structured derivative products