Quantitative Analytics Specialist 4
Anveta
Quantitative Analytics Specialist 4 - Wells Fargo
Cross-Margin Quantitative Model Developer
Rate is $81.78/hr w2 (On Prime Vendor's W2)
Location: 550 S Tryon St, Charlotte, NC Hybrid - 3 days per week in-office
Local candidates strongly preferred
Duration: 12 months with potential to extend
Interview: 30 min MS Teams call, possible 2nd round Overview:
Modeling & Quantitative Analysis:
Equity swaps:
First Middle Last Name
Skill Highlights- please indicate the # of years on each of the following skills:
Cross-Margin Quantitative Model Developer
Rate is $81.78/hr w2 (On Prime Vendor's W2)
Location: 550 S Tryon St, Charlotte, NC Hybrid - 3 days per week in-office
Local candidates strongly preferred
Duration: 12 months with potential to extend
Interview: 30 min MS Teams call, possible 2nd round Overview:
- Client is seeking a highly analytical Quantitative Model Developer with strong Python engineering skills and deep familiarity with cross?margining concepts within prime brokerage and capital markets.
- This role focuses on enhancing and maintaining counterparty credit risk models-not pricing or market risk models-with an emphasis on mathematical rigor, cross?product methodology development, and hands-on coding.
- The ideal candidate has a strong mathematical foundation, the ability to derive formulas, identify methodological gaps, and improve model implementations.
- Candidates will work closely with junior team members, business partners, model owners, technology stakeholders, and project management groups.
- Because cross?margin exposure plays a significant and high-impact role in CIB markets, this position requires a strong sense of urgency and responsiveness to ad hoc model requests.
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- Improve or replace outdated models using modern stochastic and capital markets modeling techniques .
Equity swaps:
- Metals
- Energy derivatives
- Convertible bonds
- 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.
- 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.
- 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.
- 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.
- Cross?margin expertise: ~50%
- Mathematics/modeling: ~30%
- Coding (Python/SQL): ~20%
- 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.
- Candidates located in Charlotte are strongly preferred; two existing team members are based here.
- 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
- 5 plus years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- Team: Contingent Solutions - Counterparty Credit Risk Modeling
- OFFER BACKOUT, NEED IMMEDIATE BACKFILL
First Middle Last Name
Skill Highlights- please indicate the # of years on each of the following skills:
- Cross-margin expertise: ~50%
- Mathematics/Data modeling: ~30%
- Coding (Python/SQL): ~20%
- 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.
Vacancy posted 2 days ago
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