
Leading company in the financial services industry
Vice President, Front Office Quant Counterparty Cross Margin Model Development
**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.
Posting End Date:
27 Mar 2026
**Job posting may come down early due to volume of applicants.We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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关于Wells Fargo

Wells Fargo
PublicWells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.
10,001+
员工数
San Francisco
总部位置
$163B
企业估值
评价
10条评价
3.7
10条评价
工作生活平衡
3.8
薪酬
3.2
企业文化
3.9
职业发展
3.1
管理层
3.4
72%
推荐率
优点
Good benefits and health coverage
Flexible schedules and work arrangements
Supportive team environment
缺点
Limited career advancement opportunities
High stress and overwhelming workload
Poor management and lack of direction
薪资范围
16个数据点
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · Data Scientist L1
0份报告
$128,533
年薪总额
基本工资
-
股票
-
奖金
-
$109,253
$147,813
面试评价
4条评价
难度
3.0
/ 5
时长
21-35周
录用率
25%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
Behavioral Interview
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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