Corporate & Investment Bank (CIB) delivers a comprehensive suite of banking, capital markets and advisory solutions, including a full complement of sales, trading and research capabilities, to corporate, government and institutional clients. We focus on our clients' overall financial needs, with consideration and respect for their total relationship with Wells Fargo.
Markets provides solutions to clients with the means to manage their exposure through various derivatives, lending and cash products across Structured Products Group, Rates, Equities, Foreign Exchange, Municipal Products Group, Credit Sales & Trading.
About this role:
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.
Required Qualifications:
- 5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 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
Job Expectations:
- This position is subject to FINRA background screening requirements. Candidates must successfully complete and pass a background check prior to hire. In accordance with FINRA rules, individuals who are subject to statutory disqualification are not eligible to be associated with a FINRA-registered broker-dealer. Successful candidates must also meet and comply with ongoing regulatory obligations, which include periodic screening and mandatory reporting of certain incidents.
- Specific compliance policies may apply regarding outside activities or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process.
