Quantitative Analytics Specialist
Wells Fargo is seeking a Quantitative Analytics Specialist to join the Markets Division of the Model Risk Management team. This team is responsible for 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 the enterprise. The Markets Division of Model Risk Management 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 transactions, as well as to measure the risk of possible economic loss from adverse changes in market risk factors. The team is seeking an experienced Quantitative Analytics Specialist to join a multi-asset team whose model coverage includes Commodities and Equities Derivatives, as well as Electronic Trading Signals and Strategies. The main responsibility of the successful candidate will be to provide risk assessment of models throughout their lifecycle. This requires an inquisitive mindset, a willingness to challenge 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 visible 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
- 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 :
2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following : work experience, training, military experience, educationMaster's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer scienceDesired 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-learning modelsHands-on object-oriented coding experience (Python, C++ and Java are most relevant)Knowledge of derivatives products (preferably Commodities / equity / FX) and fixed-income productsStrong 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 modelsExperience 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 trackingJob 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 postingJob Locations :
Three Wells Fargo Center, 401 S Tryon St, Charlotte, NC600 Wells Fargo, Minneapolis, 600 S 4th St, Minneapolis, MNWest Des Moines Campus, 800 S Jordan Creek Pkwy, West Des Moines, IADallas Campus, Bldg B, 401 Las Colinas Blvd W, Bldg B, Irving, TXD Building, 114 N Beaumont St - D Bldg., Saint Louis, MO1150 W Washington, Tempe, AZPay Range : $100,000.00 - $179,000.00
Benefits : Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs (https : / / www.wellsfargojobs.com / en / life-at-wells-fargo / benefits) for an overview of the following benefit plans and programs offered to employees.
Health benefits401(k) PlanPaid time offDisability benefitsLife insurance, critical illness insurance, and accident insuranceParental leaveCritical caregiving leaveDiscounts and savingsCommuter benefitsTuition reimbursementScholarships for dependent childrenAdoption reimbursementWells 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.