Friday, May 31, 2013

Advanced Analytics Cons 1, Wells Fargo - San Francisco

Advanced Analytics Cons 1, Wells Fargo - San Francisco
Requisition # 3753060

Job Description
Wells Fargo s Corporate Model Risk Management group, a part of Corporate Risk, is seeking an experienced and established quantitative analyst to play a leading role on the credit risk model validation team.

This position will be responsible for playing a leading role within a highly skilled analytic team to independently review and validate a wide variety of credit loss forecasting, and stress testing models used by the bank. This individual will help the team to develop effective model validation processes and conduct thorough model assessments toward the goal of providing a constructive effective challenge to model developers, as well as ensuring compliance with regulatory rules and the bank s model policies. Specific duties will include assessing key underlying modeling assumptions, validating the model s structure/data/code, reviewing the model s developmental process and documentation, and evaluating the model s outputs. Reviews include the completion of comprehensive validation reports that include identification of issues, development of appropriate solutions, and recommendations to business units and senior management. This individual is expected to interact intensively with model builders and stakeholders during all model life cycle stages, and to partner with other Corporate Risk teams in order to ensure the effective functioning of model build/use/evaluation processes and the provision of consistent guidance. In addition, this individual will also provide analytical and modeling support to lines of business and the corporate model community as needed, in order to promote the effective model development and uses within the organization.

The candidate must have strong leadership qualities, in-depth knowledge of and experience in loss forecasting, econometric methods, predictive hazard modeling, statistical simulation, optimization, and data sampling; good understanding of the regulatory rules  and credit risk management procedures; experience managing and working with large databases; and effective written and verbal communication skills. Strong project management skills are essential to coordinate the large number of reviews expected to be conducted and to ensure clear communications with model developers and other stakeholders. In addition to strong experience and quantitative skills, a  can-do  personal style/attitude and the ability to drive decision making through a consensus building approach are also critical to success in this role.

Basic Qualifications
Masters degree in programs such as applied mathematics, statistics, engineering,  physics, accounting, finance, economics or computer sciences with 6+ years related industry experience.  CFA pr CPA preferred.  PhD counts toward experience.

Minimum Qualifications
- Familiarity with model validation and risk measurement best practices and methodologies.
-  Demonstrated management and leadership ability.
-  Excellent project management skills.
- Capable of working on cross-organizational projects and influencing decisions by effectively partnering with business units and other related parties.
-  Strong conceptual and quantitative problem solving skills and demonstrated ability to think creatively.
-  Excellent oral and written communication skills, including the ability to document and present model validation process and results suitable for audiences of all levels.
-  Ability to interact with business units and regulators effectively and drive decision making through a consensus building approach.

Preferred Skills
- PhD preferred with an emphasis in a quantitative discipline (econometrics, operations research, statistics, finance, mathematics, etc.)
- A minimum of 4 years management experience and 7+ years related financial experience.

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