Quantitative Analytics Cons 1
The Corporate Credit & Market Risk group is responsible for independently overseeing the management of credit risk exposures (including monitoring and reporting on aggregate credit exposures across groups, legal entities, geographies, and jurisdictions) and the quality of credit risk management practices across the company. This oversight extends to all phases of a loan's life cycle, including origination, underwriting, risk analysis, approval, documentation, boarding, monitoring, loss recognition, modification, and collection activities. Corporate Credit & Market Risk is responsible for delegating and/or removing credit and investment approval authorities to the lines of business.
More specifically, Corporate Credit & Market Risk develops, maintains and ensures adherence to enterprise-wide credit risk frameworks, policies, and procedures that are aligned with Board-approved risk appetite.
The Market Risk Analytics Group (RA) within Corporate Credit & Market Risk is responsible for design and specification of market risk and capital models, such as General and Stressed VaR, Specific Risk and Incremental Risk Charge as well as supporting trading desk risk management, stress test system and scenario design and implementation. RA models are mainly used for trading desk risk oversight, economic capital and regulatory capital reporting, and cover five broad product categories: interest rates, structured and credit, equities, foreign exchange and commodities. RA works collaboratively with Front Office model developers, market risk oversight officers, model validators and market risk technology to develop, implement, review, test and on-going monitor these models in the whole model development and usage cycle.
The main job responsibilities will include, but not be limited to:
- Write technical specifications and coordinate with risk technology on implementation of enhancements to models.
- Provide analytical support and ongoing monitoring for the models in production.
- Assess limitations and gaps in production models
Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through our many locations, ATMs, the internet (wellsfargo.com) and mobile banking.
- 2+ years of experience in an advanced scientific or mathematical field
- A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science
- A PhD in a quantitative discipline
- Excellent verbal, written, and interpersonal communication skills
- Knowledge and understanding of stochastic calculus, stochastic processes, and derivatives valuation
Other Desired Qualifications
- 2+ years in Risk Management or Quantitative Modeling
- Significant expertise in quantitative risk methodologies
- Expertise in derivative products, their risk and valuation methodologies
- Strong programming skills, including Matlab, C/C++ or statistical programming in SAS and/or R
- Ability to communicate with individuals at all levels, across various lines of business
- Ability to manage relationships with lines of business and colleagues in Market Risk Oversight.
- Experience in trading or market risk measurement
All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.
Relevant military experience is considered for veterans and transitioning service men and women.
Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.
0161930 CORP RISK/CORPORATE RISK
Meet Some of Wells Fargo's Employees
Lauren audits Wells Fargo’s financial reports to assess accuracy and risk. She reviews processes in place, analyzes management controls, and communicates calculations and findings with business partners.
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