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Job Title:Wells Fargo Securities Quantitative Analytics AssociateRequisition Number:3667263Schedule Type:RegularWork Hours:40.00Telecommute Option:Not IndicatedCA-SF-South Of Market AreaNC-CharlotteNY-New YorkLocation:Job DescriptionWhether you are at the beginning of your career or looking to make your next move, you
want to work for a company that values your individual talents, skills and experience. Wells
Fargo & Company is a diversified financial services company with $1.2 trillion in assets,
providing banking, insurance, investments, mortgage and consumer finance through more
than 10,000 stores, 12,000 ATMs, and the internet across North America and the globe.
Wells Fargo Securities is a division a division of Wells Fargo specializing in full service
investment banking and capital markets products for corporate and institutional clients.Program Overview
The Market Risk Analytics and Fixed Income Analytics teams are responsible for working
with various business lines in Wells Fargo Securities to develop and validate mathematical
models for pricing and hedging complex financial instruments. These models are written in
C++, and released in a library for inclusion by IT in various pricing systems such as Calypso, Endur, etc. The models cover a variety of asset classes (commodities, interest rates, foreign exchange, etc.) and are used by the businesses for official pricing and risk management by the company.In addition to performing the responsibilities outlined below, Associates will participate in
a Wells Fargo orientation, product based training and ongoing coaching and development
to assess performance.Opportunities
As a Quantitative Analytics Associate, you will work as a full time team member and gain
comprehensive professional and industry experience. Associates may be responsible for
developing, implementing, calibrating or validating models, for educating the trading desk
in the strengths and weaknesses of models, and for providing the trading desk with any
analysis of the models they require to successfully use the models to manage their risk.
Associates are also responsible for producing required documentation to substantiate
development and/or validation.Responsibilities
Perform core mathematical model development or validation under direction of a
more experienced team member.
Contribute code to one or more analytics libraries.
Daily contact with leaders at all levels of the organization including senior
management, team members, individual contributors and vendors.
Provide customer service to all areas of management and trading.
Perform historical and/or analytical research in response to requests or
assignments.
Understand processes and work flows to make recommendations for process
improvements. Bring closure to issues, questions and requests. Solve problems
independently.
Understand business needs and provide possible solutions by explaining in a clear
verbal and/or written communication to traders and/or management.
Consistently learn new systems, applications, processes and techniques.
Lead or participate in projects or support activities, which are moderate in size and
organization span.Basic Qualifications3+ years capital markets industry experience OR a PhD in Math, Physics, Engineering or other mathematical field.Minimum QualificationsMinimum Qualifications
PhD in Math, Physics, Engineering or other mathematical field or 3+ years capital
markets industry experience
Experience and ability to demonstrate firsthand knowledge of numerical methods
such as the numerical solution of partial differential equations; Monte Carlo
methods; principal component analysis; linear algebra; stochastic calculus; and
numerical integration.
Proven experience in written and oral communication in English
Ability to explain complex mathematical concepts to an intelligent but nonmathematical
audience
No financial knowledge required, but knowledge of risk neutral pricing theory and
Fixed Income option pricing a plus. Demonstrated ability to effectively organize
tasks, manage time, set priorities and deadlinesPreferred SkillsPreferred Qualifications
Professional experience through internships, part time or full time work, and/or
demonstrated leadership experience in academics or a community setting
Demonstrated experience in successfully collaborating with others in a change
driven environment
Ability and availability to travel based on business needs