Wells Fargo Senior Risk Analytics Consultant 

India, Karnataka, Bengaluru 

431996581

In this role, you will:

• Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics
• Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models
• Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
• Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements
• Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals
• Lead projects, teams, and mentor less experienced staff
• Partner with cross enterprise risk analysts in development of common modeling strategies

Required Qualifications:

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

Desired Qualifications:

• Bachelor’s degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
• 4+ years of progressive experience in credit and risk analytics
• Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / scenario analytics.
• Detailed understanding of risk domain; Strong Risk analytics skills and understanding of P&L, drivers
• Proven expertise in strategy development , scenario analysis, and performance tracking in a credit risk environment.
• Strong command of technical tools including SAS, SQL, Python, R, VBA, Tableau, and SAS Visual Analytics.
• Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques
• Ability to lead project teams and coordinate with multiple stakeholders.
• Strong analytical skills with ability to turn findings into executable plans to meet business objectives
• Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution
• Advanced degree in statistics/finance/engineering/economics/otherquantitative disciplines
• Knowledge and understanding of (consumer and small business loan) credit card lending practices, policies, procedures, and key drivers impacting credit offerings
• Ability to contribute to strategic decisions and coordinate with multiple stakeholders. Develop consensus and gain buy-in for strategic priorities
• 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

Job Expectations:

• The incumbent would functionally contribute as a Senior Risk Analytics Consultant to the Credit Card - Credit Risk team and execute relatively large and complex projects with moderate to high risk for the line of business.
• Support and deliver on significant initiatives and processes, and partners with line of business management to drive the company credit culture, appetite, and business performance with inputs from seniorleadership. Actsas a subject matter expert for senior leaders.
• Establishes effective policies, processes, and tools to identify and manage risks. Uses predictive sciences for developing future ready solutions.
• Participate in discussions with key stakeholders from business & risk functions to explain the portfolio performance numbers.
• Develop and execute Collections strategies that optimize treatments, recovery, reduce Net Credit Loss (NCL), and align with the bank’s credit risk appetite.
• Reports on portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, risk segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics.
• To be effective in this position, you will need to have a good understanding of credit, practice in the test and learn discipline and exploratory analysis, and be fluent in both the key technical tools of credit risk decisioning and sound credit judgment.
• Strong analytical mindset with the ability to connect data insights to business strategy .

Wells Fargo Recruitment and Hiring Requirements:

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