Vice President, Front Office Quant Counterparty Cross Margin Model Development

Wells Fargo & Company•Charlotte, NC

About The Position

Wells Fargo is seeking a Lead Securities Quantitative Analytics Specialist, a Vice President position, to fill the role within the Corporate & Investment Banking (CIB) Market and Counterparty Risk Model Development team within our (CCMA) Counterparty Cross-Margining Analytics team. This position will cover researching, developing, implementing, testing, analyzing, monitoring, and documentation of market and counterparty risk management and regulatory capital models, with a focus on Prime Brokerage business and Cross-Margining initiative. The successful candidate will collaborate closely with stakeholders across risk management, model validation, and technology functions to deliver robust and effective risk analytics solutions. In this role, you will: Lead complex initiatives with broad impact and act as key participant in large-scale planning for Securities Quantitative Analytics Develop automated trading algorithms, create cutting-edge derivative pricing models and empirical models, to provide insight into market behavior Review and analyze complex multi-faceted, larger scale or longer-term business, operational, or technical challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors Use quantitative and technological techniques to solve complex business problems Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation Resolve issues and achieve goals Make decisions on complex and multi-faceted situations requiring understanding of Securities Quantitative Analytics, policies, procedures, and compliance requirements Influence and lead the broader work team to meet deliverables and drive new initiatives Lead projects, teams, or serve as a peer mentor Collaborate and consult with peers, colleagues, and mid-level to senior managers Play an integral role to the trading floor Applying advanced mathematical expertise in stochastic modeling and OTC derivatives to formulate, implement, and enhance quantitative model development strategies, supporting rigorous analysis and data-driven decision-making for products and business initiatives with significant organizational impact.

Requirements

5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

PhD degree or equivalent in mathematics, physics, engineering, computer science, economics, finance or quantitative field.
Extensive experience in OTC products pricing and risk model development, implementation, testing, documentation, validation, and maintenance.
Experience with Equities, Rates, Credit, model development for counterparty cross margin risk.
Extensive hands-on coding experience in Python, C++ and SQL with strength in AI auto coding models.
Excellent verbal, written, and interpersonal communication skills and sense of urgency.
Provide guidance, support, and mentorship to junior team members to foster their professional growth and ensure successful onboarding and skill development.
Solid knowledge of regulatory guidelines for counterparty credit risk management and regulatory requirements for market risk, e.g. Basel 2.5 and FRTB.
Strong financial modeling knowledge in financial mathematics, particularly in stochastic calculus and numerical methods.
Delivery focused with extensive experience partnering with technology to deploy models in the system.
Ability to work on multiple projects and effectively organize tasks, manage time, set priorities, work under pressure, meet deadlines, and deliver results with speed and agility.
Demonstrated experience in successfully collaborating with others in a change driven and dynamic environment and across all organizational levels, where flexibility, collaboration, and adaptability are important

Responsibilities

Lead complex initiatives with broad impact and act as key participant in large-scale planning for Securities Quantitative Analytics
Develop automated trading algorithms, create cutting-edge derivative pricing models and empirical models, to provide insight into market behavior
Review and analyze complex multi-faceted, larger scale or longer-term business, operational, or technical challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
Use quantitative and technological techniques to solve complex business problems
Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
Resolve issues and achieve goals
Make decisions on complex and multi-faceted situations requiring understanding of Securities Quantitative Analytics, policies, procedures, and compliance requirements
Influence and lead the broader work team to meet deliverables and drive new initiatives
Lead projects, teams, or serve as a peer mentor
Collaborate and consult with peers, colleagues, and mid-level to senior managers
Play an integral role to the trading floor
Applying advanced mathematical expertise in stochastic modeling and OTC derivatives to formulate, implement, and enhance quantitative model development strategies, supporting rigorous analysis and data-driven decision-making for products and business initiatives with significant organizational impact.