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Senior Quantitative Model Solutions Specialist - Python/R or SAS

Wells Fargo

Senior Quantitative Model Solutions Specialist - Python/R or SAS

full-timePosted: Sep 2, 2026Updated: Sep 3, 2026India, Bengaluru

Job Description

About this role:Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist.In this role, you will:Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentationReview and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiativesAdvise and guide team on moderately complex model optimization and processes strategiesIndependently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirementsCollaborate and consult with peers, colleagues, and managers to resolve issues and achieve goalsRequired Qualifications:4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.Desired Qualifications:Bachelor’s degree in finance, statistics, computer science, Information Technology, or a related field with minimum of 4+ years of experienceExperience in Finance/Credit/Banking Modelling with a strong understanding of industry specific SDLC processesExperience with Python/R or SAS and ExcelStrong expertise in data engineering & analysis and ability to handle large volume of data efficiently.Demonstrated experience in Platform Migration/ Model Reengineering projects in finance sector.3+ years of experience in data visualization tools like PowerBI/ Tableau/ QlikviewProven experience in developing Automated Testing Frameworks in python using Pytest/Selenium.Good understanding of Database concepts, DB testing and writing SQL queries.Good communication skills to be able to work with Global teams.Job Expectations:Develop, execute and maintain automated test scripts, test plans and automation framework for data migration activities, ensuring data accuracy and completeness.Excellent analytical and problem-solving skills.Possess strong risk acumen and functional knowledge of procedures, risks, controls, compliance, testing, validation, assessment of findings, escalation, and reporting, while developing business acumenPartner with business partners to understand the environment and related initiatives to develop appropriate and complementary testing procedures.Work closely with finance/credit modelling teams to understand domain specific testing requirements and provide innovative solutionsThe successful candidate will be a team player and a self-starter who is accustomed to working in complex organizations, partnering with a diverse group of stakeholders, and achieving results.Posting End Date: 7 Sep 2026*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells 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.Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.Wells Fargo Recruitment and Hiring Requirements: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.

Locations

  • India, Bengaluru

Skills Required

  • Python/Rintermediate
  • data engineering & analysisintermediate
  • data visualization tools like PowerBI/ Tableau/ Qlikviewintermediate

Required Qualifications

  • 4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. (experience, 4 years)
  • 4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. (experience, 4 years)
  • Bachelor’s degree in finance, statistics, computer science, Information Technology, or a related field with minimum of 4+ years of experience (experience, 4 years)
  • Experience in Finance/Credit/Banking Modelling with a strong understanding of industry specific SDLC processes (experience)
  • Experience with Python/R or SAS and Excel (experience)
  • Strong expertise in data engineering & analysis and ability to handle large volume of data efficiently. (experience)
  • Demonstrated experience in Platform Migration/ Model Reengineering projects in finance sector. (experience)
  • 3+ years of experience in data visualization tools like PowerBI/ Tableau/ Qlikview (experience, 3 years)
  • Proven experience in developing Automated Testing Frameworks in python using Pytest/Selenium. (experience)
  • Good understanding of Database concepts, DB testing and writing SQL queries. (experience)
  • Good communication skills to be able to work with Global teams. (experience)
  • Bachelor’s degree in finance, statistics, computer science, Information Technology, or a related field with minimum of 4+ years of experience (experience, 4 years)
  • Experience in Finance/Credit/Banking Modelling with a strong understanding of industry specific SDLC processes (experience)
  • Experience with Python/R or SAS and Excel (experience)
  • Strong expertise in data engineering & analysis and ability to handle large volume of data efficiently. (experience)
  • Demonstrated experience in Platform Migration/ Model Reengineering projects in finance sector. (experience)
  • 3+ years of experience in data visualization tools like PowerBI/ Tableau/ Qlikview (experience, 3 years)
  • Proven experience in developing Automated Testing Frameworks in python using Pytest/Selenium. (experience)
  • Good understanding of Database concepts, DB testing and writing SQL queries. (experience)
  • Good communication skills to be able to work with Global teams. (experience)
  • a. Third-Party recordings are prohibited unless authorized by Wells Fargo. (experience)
  • b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. (experience)

Responsibilities

  • Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation
  • Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives
  • Advise and guide team on moderately complex model optimization and processes strategies
  • Independently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements
  • Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
  • Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation
  • Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives
  • Advise and guide team on moderately complex model optimization and processes strategies
  • Independently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements
  • Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

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