Wells Fargo Lead Risk Analytics Consultant - Credit SQL Power-Bi 

India, Telangana, Hyderabad 

409927624

In this role, you will:

• Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics.
• Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported.
• Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line.
• Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives.
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals.
• Lead projects, teams, and mentor.

Required Qualifications:

• 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

• Contribute as a Subject Matter Expert (SME) to the Commercial/Consumer Lending Credit Risk team and execute on deliverables for projects with moderate to high risk for the Credit Risk organization.
• Partners with Finance/Controller, Audit, Control Oversight, Line of Business, Technology, and Testing teams for researching and explaining questions related to data and controls.
• Responsible for production process execution, data reconciliation, and documentation in alignment with governance policies.
• Research and remediate data, production, and control issues in partnership with other SMEs and teams.
• Meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies , Credit Risk procedures, regulatory reporting , and compliance requirements.
• Lead project teams and mentor less experienced staff.
• Develop complex programming models to extract data and/or manipulate databases such as SQL Server, Oracle, Teradata, and Hive.
• Knowledge and understanding of the key factors impacting credit offerings, including credit risks and regulatory requirements .
• Understanding of risk management practices, extensive knowledge of financial data
• Demonstrated proficient SQL experience.
• Experience in Python (Good to have).
• Demonstrated experience leading project teams.
• Proficient experience in identifying and evaluating data trends, isolating root cause, and providing swift/thorough resolution.
• Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment.
• Strong ability to develop partnerships and collaborate with other business and functional area.
• Strong communication, interpersonal and leadership abilities.

Job Expectations:

• Master’s/Bachelor’s degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
• Relevant experience in the Banking & Financial Services Industry domain.
• Relevant experience creating artifacts such as procedure documents, flow charts, and control evidence.
• 6+ years of experience in SAS & SQL and one of the visualization tools like Power BI or Tableau .
• 6+ years of Risk experience.
• Strong analytics skills and comprehensive understanding of financial services products and risk drivers
• Ability to lead project teams and coordinate with multiple stakeholders.
• Shift Timings: 1:30 PM to 10:30 PM

.

Wells Fargo Recruitment and Hiring Requirements:

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