Wells Fargo Senior Enterprise risk specialist 

India, Karnataka, Bengaluru 

417943323

In this role, you will:

• Participate and develop, implement and monitor risk based governance programs to identify, assess and mitigate risks across lines of business and risk domains in multiple risk categories
• Review moderately complex business, operational, or technical challenges that require an in depth evaluation of variable factors
• Provide oversight, develop, implement, monitor and challenge for corporate governance risk programs and manage reporting
• Utilize risk knowledge to issue resolutions for moderate to high risk companywide projects and initiatives
• Develop, implement, monitor and interpret, risk based governance programs, create new policies and guidelines
• Resolve moderately complex issues and lead team to meet risk area, projects and process deliverables, while leveraging solid understanding of the risk policies, procedures and compliance requirements
• Guide and direct the organization in terms of policies, effectiveness of companywide initiative execution, and reporting to the Board
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals, may lead projects, teams or serve as a mentor
• Identify training opportunities, design and coordinate development of the training materials, deliver training

Required Qualifications:

• 4+ years of Risk Management experience (includes Compliance, Financial Crimes, Operational Risk, Audit, Legal, Credit Risk, Market Risk, IT Systems Security, Business Process Management) or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

• License certifications in finance and risk such as CFA, FRM, preferred
• Understanding of model risk supervisory guidance and model validation requirements for large and complex institutions, across geographies
• Knowledge of Wells Fargo systems and process, and industry standard practices for CCAR/DFAST, RRP, etc.
• 5+ years of experience in model validation or model development withminimum Masters/Phd in a quantitative fieldsuch as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
• Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics (Logistic regression, Time Series and Machine learning techniques).
• Familiarity in one or more of the following areas: Liquidity risk, Treasury, Asset Liability management, Capital models, Predictive modelling with Logistic regression, Time Series and Machine learning techniques.
• Strong mathematical, statistical, analytical, and computational skills along with programming skills
• Strong communication skills for a variety of audiences (other technical staff, senior management, and regulators) both verbally and in writing Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions.
• Ability to work independently on complex model validations from start to finish.
• Attention to detail in both analytics and documentation.

Treasury Asset Liability and Liquidity (TALL) Model Validation:

Specifically this individual will have responsibility to:

• Execute the Validation processes based on model risk supervisory guidance, Model Risk Management Policy and procedures, and current industry best-practices in one or more of the above-named areas. In particular:
  • Ensure credible challenge of models through validation process
  • Evaluate all relevant components of models and assess model soundness across lifecycle
  • Identify areas of weakness and work with model owners, risk partners, and other key stakeholders to ensure risk commensurate remediation
  • Demonstrate strong knowledge of subject matter area of focus, as well as sound validation and analysis techniques
  • Deliver high quality and timely validation reports combining intellectual rigor, analytical depth, and key model risk perspective
  • Support timely resolution of model weaknesses
• Follow reporting and escalation protocols of review results and follow up on identified risks/observations
• Continually work to improve efficiency, consistency, and quality of independent model validation
• Ensure all models within scope are independently validated per expected standards and schedule
• Build and maintain effective working relationships with key partners and stakeholders across Wells Fargo
• Understand model risk supervisory guidance, Model Risk Management Policy, and current industry best-practices

Required Qualifications and Experience:

• 5+ years of experience in model validation or model development withminimum Masters/Phd in a quantitative fieldsuch as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
• Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics (Logistic regression, Time Series and Machine learning techniques).
• Familiarity in one or more of the following areas: Liquidity risk, Treasury, Asset Liability management, Capital models, Predictive modelling with Logistic regression, Time Series and Machine learning techniques.
• Strong mathematical, statistical, analytical, and computational skills along with programming skills
• Strong communication skills for a variety of audiences (other technical staff, senior management, and regulators) both verbally and in writing Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions.
• Ability to work independently on complex model validations from start to finish.
• Attention to detail in both analytics and documentation.

Desired Qualifications:

• License certifications in finance and risk such as CFA, FRM, preferred
• Understanding of model risk supervisory guidance and model validation requirements for large and complex institutions, across geographies
• Knowledge of Wells Fargo systems and process, and industry standard practices for CCAR/DFAST, RRP, etc.

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.