Wells Fargo Senior Risk Analytics Consultant 

India, Karnataka, Bengaluru 

783224543

Job Description

Required Qualifications

• 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

Desired Qualifications:

• Advanced degree in statistics/finance/engineering/economics/otherquantitative disciplines.
• The incumbent would functionally contribute as a Senior Consultant to the Consumer Lending Credit Risk team and execute relatively large and complex projects with moderate to high risk for the line of business.
• 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.
• Assesses and predicts risk and performance through business analysis and/or modeling. Establishes effective policies, processes, and tools to identify and manage risks. Uses predictive sciences for developing future ready solutions.
• Develop predictive strategies / solutions across customer life-cycle, for example new account acquisitions across underwriting, approve/decline, limit assignment, business rules development, product development support. Analyzes big data and understand / monitor trends to provide actionable insights across a range of risk analytics initiatives.
• Develop comprehensive monitoring frameworks and dashboards and provide statistically sound diagnostic evaluation of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision making.
• Reports on asset quality, portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, industry segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics.
• Builds risk rating methodologies using advanced analytics approaches including statistical modeling and machine learning techniques, not limited to Random Forest, Decision Trees, Segmentation, and/or Time-series modeling.
• Developsquantitative/qualitativemodels for forecasting losses in supporting portfolio planning, loan loss provisioning, or new account acquisitions.
• Develop complex programming models to extract data and/or manipulate databases such as ORACLE, Teradata.
• 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.
• Bachelor’s degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics, or computer sciences
• Advanced degree in statistics/finance/engineering/economics/otherquantitative disciplines.
• 4+ years of progressive experience in credit and risk analytics roles with 4+ years of experience in leading team of data scientists, data analysts.
• Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management
• Detailed understanding of risk domain; Strong Risk analytics skills and understanding of P&L, drivers
• Expertise in few programming and statistical packages - SAS, SQL, VBA, Macros, R, Python, E-miner, Tableau, SAS VA
• 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.
• 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.

Wells Fargo Recruitment and Hiring Requirements:

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