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About 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, implementation, and data management for all Commercial Lending portfolios.
About the Role
Commercial Credit Decision Modeling team is seeking a highly motivated individual to lead the model implementation and data services team. The manager will be responsible for managing all model implementation and data management projects. Provide guidance to the team, and effectively interact with all stakeholders.
Responsibilities
- Work on data management across all portfolios required for modeling purposes
- Creating dashboards for reporting and controls purposes
- Coordinating the various activities related to business analysis and modeling
- Work on implementation of models doing UAT, and post implementation validation
- 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
- 12+ years of experience in working on database management and/or implementation of models/strategies with a strong understanding of the business
- Exposure to working in Big Data Platforms like Hive, Spark, Hadoop, Cloudera, AWS, and so on.
- Bachelor's degree in engineering in any field
- Proficient in Python or R
- Proficient in Tableau, Power BI, or any of business intelligence tools
- Experience in producing high quality technical documentation with tools such as Excel. Word, and PowerPoint
- Excellent verbal and communication skills
Desired Skills
- Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines
- Good Python skills in performing complex data manipulation and modeling 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
Posting End Date
*Job posting may come down early due to volume of applicants.
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.
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