Wells Fargo
Hyderabad, India
Wells Fargo is seeking a Quantitative Model Solutions Specialist
In this role, you will:
Required Qualifications:
2+ 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
Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines
Good Python skills in performing complex data manipulation and modelling 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 modelling 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
Work on data management across all portfolios required for modelling purposes
Creating dashboards for reporting and controls purposes
Coordinating the various activities related to business analysis and modelling
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
Posting End Date:
22 Sep 2026
*Job posting may come down early due to volume of applicants.
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
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 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.
To request a medical accommodation during the application or interview process, visit
Disability Inclusion at Wells Fargo
.
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.