Lead Quantitative Analytics Specialist - Model Validation - Markets Division: Commodities and Equities Derivatives

141753-NC-Three Wells Fargo Center, Charlotte, United States

Wells Fargo

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About this role:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist to join the Markets division of Model Risk Management team.

Wells Fargo’s Model Risk Management (MRM) team is responsible for independently overseeing the management of model risk exposures across the enterprise (including governing, monitoring, and reporting on aggregate model risk exposures, model validations, and model oversight across enterprise). This oversight extends to all phases of a model’s life cycle, including identification, development, validation, implementation, finding resolution, usage, performance monitoring, documentation, and retirement.

Model Risk Management (MRM): The Model Risk Management team is responsible for end-to-end oversight and risk management of models used across the enterprise. This includes the assessment and mitigation of risk created by models throughout the model lifecycle including Development, Validation, Usage and Ongoing Monitoring. 

Markets division of MRM is responsible for the validation, performance monitoring and oversight of models used in trading, market and counterparty risk management. These models are used to price and hedge trading (including derivatives and fixed income) transactions, as well as to measure the risk of possible economic loss from adverse changes in market risk factors such as equity and commodity prices, interest rates, credit spreads, foreign exchange rates, mortgage rates, market liquidity dynamics, or counterparty defaults. Markets MRM is also responsible for models specifically designed for electronic trading activities including signal models and order execution strategies.

Markets MRM is seeking an experienced Lead Quantitative Analytics Specialist to join a multi-asset team whose model coverage include Commodities and Equities Derivatives, as well as Electronic Trading Signals and Strategies.  Our diverse coverage offers a world of opportunity to expand your capabilities and advance your career. We invest in our people and provide a supportive environment in which to learn and grow.

The main responsibility of the successful candidate will be to provide risk assessment of models throughout their lifecycle. This requires an inquisitive mindset and a willingness to challenge (even established) modeling choices and assumptions, to design relevant testing scenarios, to numerically implement model components, to conduct and analyze comprehensive testing, and to develop alternative models. Each of these steps needs to be executed and documented with risk-based rationale to support or invalidate modeling choices, assumptions and adequacy in the context of the model purpose and usage.

This highly visibly position will provide interaction with various key model stakeholders and therefore requires someone with the ability to develop and maintain strong strategic partnerships.  The ability to communicate with different audiences (technical staff, senior management, regulators) both verbally and in writing is very important.  The team operates in a fast-paced environment and the ability to multi-task and meet strict timelines is critical.

In this role, you will be:

  • Performing model validations and clearly documenting narrative of validation perspective

  • Providing effective challenge to models developed in the lines of business (LOB)

  • Developing alternative benchmarking models or replicating LOB models

  • Reducing model risk to meet or exceed regulatory and industry standards

  • Identifying conceptual weaknesses in a model and understanding tradeoffs with other approaches

  • Communicating model issues and limitations to key stakeholders

  • Contributing to improvement of model building and use practices

  • Providing leadership and consultation to less experienced validators

  • Providing analytical support and offering insights regarding a wide array of business initiatives

  • Interacting with senior management and regulators on key modeling issues, including the identification, management and mitigation of model risk

  • Communicating to different audiences (other technical staff, senior management and regulators) both verbally and in writing

  • Managing relationships with key model stakeholders


Required Qualifications:

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

  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science


Desired Qualifications:

  • PHD in quantitative field such as Mathematics, Statistics, Engineering, Physics, Economics or Computer Science.

  • Relevant experience in model development, research, or validation in the areas of financial derivatives, electronic trading, market risk, or counterparty credit risk at financial institutions, software companies, teaching/research institutions, or other related entities.

  • Knowledge of stochastic processes, stochastic calculus, Monte Carlo methods, numerical methods (finite differences, optimization…)

  • Familiarity with statistical data analysis and machine-leaning models

  • Hands-on object-oriented coding experience (Python, C++ and Java are most relevant)

  • Knowledge of derivatives products (preferably Commodities/equity/FX) and fixed-income products

  • Strong experience as quantitative analyst of financial models.

  • Excellent understanding of derivatives pricing theory and strong hands-on experience in development, validation or research in derivatives pricing models, volatility and/or curve and dividend models

  • Experience with and fundamental understanding of Electronic and Algo trading. Equities market microstructure and trading workflows: order execution algorithms (seeking liquidity while minimizing market impact and volatility risk); trading venues, order types, order routing; market signal events with statistical analysis and machine learning; tools for trade cost analysis, benchmark tracking


Job Expectations:

  • Ability to travel up to 15% of the time.

  • This position offers a hybrid work schedule.

  • Willingness to work onsite at stated location on the job posting

Job Locations:

  • Three Wells Fargo Center, 401 S Tryon St, Charlotte, NC

  • 600 Wells Fargo, Minneapolis, 600 S 4th St, Minneapolis, MN,

  • West Des Moines Campus, 800 S Jordan Creek Pkwy, West Des Moines, IA,

  • 250 E John Carpenter Frwy, Irving, TX

  • D Building, 114 N Beaumont St - D Bldg., Saint Louis, MO

  • 1150 W Washington, Tempe, AZ

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

$144,400.00 - $300,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

26 May 2025

*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.

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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Tags: Computer Science Credit risk Data analysis Economics Engineering Java Machine Learning Mathematics ML models Monte Carlo PhD Physics Python Research Statistics Teaching Testing Travel

Perks/benefits: Career development Equity / stock options Health care Insurance Medical leave Parental leave Team events

Region: North America
Country: United States

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