Wells Fargo & Company

CSBB ORBO - Lead Risk Analytics Consultant

Bengaluru, India Full time

About this role:

Wells Fargo is seeking a Lead Risk Analytics Consultant


In this role, you will:

  • Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
  • Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
  • Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
  • Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives
  • Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
  • Lead projects, teams, and mentor


Required Qualifications:

  • 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education


Required Qualifications for Europe, Middle East & Africa only:

  • Experience in Risk Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education


Desired Qualifications:

  • Perform highly complex analytics leveraging data across areas such as Risk & Control, Operational Risk Events/Losses, Issue Management etc. and other business specific data to understand pockets of high concentration of operational risk for ORBOs team.
  • Build routines to proactively track and analyze key metrics and bring forward actionable insights in a timely manner.
  • Utilize advanced analytical techniques/decision sciences to answer complex questions by leveraging a wide array of risk and business data.
  • Translate highly complex analysis into simple/actionable insights and create compelling stories in power point for effective decision making.
  • Leverage technology tools to automate repeatable tasks to drive efficiencies/strengthen controls.
  • Adept at leveraging Artificial Intelligence tools to deliver sharper and faster results.
  • Knowledge and understanding of Consumer & Small Business in US Banking world
  • Own analytical process supporting the team and ensure good documentation exists across core processes.
  • Build connections with the data and reporting teams across the enterprise, keep up with the data knowledge and influence data/reporting needs


Job Expectations:

  • Lead or participate in moderately complex initiatives and delivering insight and decision strategies within analytics and reporting and contribute to large-scale planning related to Risk Analytics.
  • Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models.
  • Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
  • Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements.
  • Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals.
  • Lead projects, teams, and mentor less experienced staff
  • Partner with cross enterprise risk analysts in development of common modeling strategies 

Posting End Date: 

23 Nov 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

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.

Applicants with Disabilities

To 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.