Lead Risk Analytics Consultant

Location: Bengaluru

About This Role

Wells Fargo is seeking a Lead Risk Analytics Consultant.

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:

Advanced degree in statistics/finance /engineering/economics/other quantitative disciplines
Knowledge and understanding of (consumer and small business loan) credit card lending practices, policies, procedures, and key drivers impacting credit offerings, including credit risks and regulatory requirements
Strong analytical skills with ability to turn findings into executable plans to meet business objectives
Ability to contribute to strategic decisions and coordinate with multiple stakeholders. Develop consensus and gain buy-in for strategic priorities
Proficiency in Advanced SAS, SAS macros, Python and SQL;
Tableau or BI/automation tools
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 businesses and functional areas
Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
Experience in credit and risk analytic roles
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 and risk drivers.
Expertise in few programming and statistical packages - SAS, SQL, Excel, VBA, Macros, R, Python, E-miner, Tableau, SAS VA, Power BI.
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 understanding and willingness to work hands on, using exploratory techniques which can sometimes involve advanced statistics.
Excellent communication skills for interaction/coordination/project and skill prioritization with heads of functions.
Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution

Job Expectations:

The incumbent would functionally contribute as an SME to the Auto Lending Credit Risk team and execute relatively large and complex projects with moderate to high risk for the line of business.
Lead critical initiatives and core processes, partnering closely with line-of-business leadership to influence credit culture, risk appetite, and business performance, with guidance from senior leadership; provide advisory support and counsel to leaders.
Direct and coordinate activities focused on risk and performance assessment through advanced business analysis and modeling; establish robust policies, processes, and tools for effective risk identification and management, leveraging predictive analytics to build future-ready solutions.
Lead complex, cross-functional initiatives within the Data Risk team, with broad organizational impact, and act as a key contributor to data aggregation, monitoring, and reporting for Auto Risk Analytics.
Analyze and interpret complex datasets to identify trends, key risk drivers, and emerging risk indicators.
Own and implement complex data changes driven by multiple stakeholder teams, ensuring comprehensive validation, control checks, and governance compliance prior to production deployment.
Drive high-impact, complex data initiatives from India with minimal dependency on onshore/state-side teams.
Design, write, and optimize complex SQL queries on Oracle platforms to ensure data accuracy, performance, and scalability.
Ensure strong data quality controls,…