Quantitative Analytics Manager

About this role:

Wells Fargo is seeking a leader for Decision Modelling team in India, as part of the overall Decision Sciences and Analytics organization. This individual will lead the Model Monitoring team for all consumer decision models, provide guidance in business monitoring and also effectively interact with all stakeholders, ensuring end to end top quality model monitoring delivery.

In this role, you will:

• Manage a team responsible for the creation and implementation of low to moderate complex financial areas
• Determine scope and prioritization of work in consultation with experienced management
• Participate in the development of strategy, policies, procedures, and organizational controls with model users, developers, validators, and technology
• Make decisions and resolve issues regarding operational risks and enable decision making in business, product, marketing, or other functional areas
• Manage a team comprised of quantitative analysts and credit risk analysts
• Interact with internal and external audit or regulators
• Manage allocation of people and financial resources for Quantitative Analytics
• Mentor and guide talent development of direct reports and assist in hiring talent

Required Qualifications:

• 10+ years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of leadership experience, with formal or informal reportees
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, or computer science
• Expertise in SAS and Python based modeling pipelines. Excellence in Python processes will be an advantage.
• Experience working hands-on credit and/or fraud risk model development and monitoring, across core consumer products such as Credit Cards, Personal Loans, Home Loans, Auto Loans
• Experience in producing high quality technical documentation with tools such as Excel, Word, PowerPoint

Desired Qualifications:

• Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines
• Good SAS skills in performing complex data manipulation and modeling in SAS and pivot table skills
• Exposure to machine learning techniques and model development in Python
• Excellent analytical ability in interpreting data, analytical results to draw insights to develop credit scoring models and help business manage the credit risk effectively.
• Familiarity with U.S Credit Bureau Data
• Excellent problem solving skills and ability to connect dots, see big picture and find solutions and articulate in a clear manner.
• Understanding of process, methodologies used in credit/fraud scoring model development, implementation, validation and monitoring
• Ability to effectively manage multiple assignments with challenging timelines
• Experience in statistical modeling techniques
• Strong writing skills necessary for the review of highly detailed model documentation and reporting.
• Flexibility and ability to thrive in a fast-paced, rapidly changing, highly complex environment

Job Expectations:

• Work on modeling and data analysis, credit risk scoring and/ or risk management.
• Manage end to end model monitoring across all portfolios in consumer lending
• Coordinating the various activities related to business analysis and model monitoring
• Participate in the development and testing of various analytical models for business unit.
• Develop methods to enhance the existing process to add efficiency, transparency and consistency while maintaining quality and responsiveness standards.
• Trouble-shoot issues and pro-actively enact solutions in real time.