Job Description

About Wells Fargo

Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $2.0 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more than 8,500 locations, 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 42 countries and territories to support customers who conduct business in the global economy. With approximately 273,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 25 on Fortune's 2017 rankings of America's largest corporations. Wells Fargo's vision is to satisfy our customers' financial needs and help them succeed financially. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories .

About Wells Fargo India

Wells Fargo India enables global talent capabilities for Wells Fargo Bank NA., by supporting business lines and staff functions across Technology, Operations, Risk, Audit, Process Excellence, Automation and Product, Analytics and Modeling. We are operating in Hyderabad, Bengaluru and Chennai locations.

Department Overview:

The Commercial Credit Decision Modeling team is responsible for model development, strategy and data management for all Commercial Lending portfolios.

About the Role

Commercial Credit Decision Modeling team is seeking a highly motivated individual to support model development, origination strategy, risk reporting, analytics and data management to improve the auto-decision rates for all Commercial Lending portfolios.

Responsibilities:

• Work on modeling and data analysis, credit scoring and/ or risk management.
• Determining business rules and strategies that maximizes profits and/or asset growth and minimizes credit and/or operating losses and other risk exposures
• Coordinating the various activities related to business analysis and modeling
• 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.

Essential Skills:

• 8+ years of scorecard development, risk analytics experience, or a combination of both.
• Masters in a quantitative field such as Mathematics, Economics, or Statistics
• 8+ years of SAS experience with exposure to Python
• 8+ years of credit risk experience
• Experience with Credit Scoring, risk modeling, application scorecard development
• Experience in producing high quality technical documentation with tools such as Excel, Word, PowerPoint.
  Excellent verbal and written communication skills

Desired Skills:

• 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 based 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 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

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.