Lead Quantitative Analytics Specialist
Wells Fargo is hiring a Lead Quantitative Analytics Specialist in Hyderabad, India. Level rates it ; you can apply on Wells Fargo.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Python, Machine Learning Models and risk management.
- Level classifies it as a lead role.
- Level lists 1,500+ other open roles at Wells Fargo.
- The role was posted within the past two weeks.
AI in this role
Lead AI/ML model validator specializing in fraud risk models within Wells Fargo's Model Risk Management Group.
About this role:
Wells Fargo is seeking a Lead Quantitative Analytics Specialist to work as an AI/ML model validator with Model Risk Management Group, primarily focussing on fraud risk models.
In this role, you will:
- Perform and lead highly complex activities related to identification and quantification of model risk, test and challenge model development, implementation, and documentation
- Use highly complex statistical, machine learning or AI related theories to quantify, analyze and manage fraud risks related to business processes handled by related models to ensure adequate risk management and provide a high quality technical report
- Assess, review, and validate models predicting fraudulent activities and lead various risk management related activities along with providing insights regarding a wide array of business initiatives
- Utilize data science and business domain expertise and perform high quality risk management assessments based on theory and mathematics behind the data
- Manage traditional and emerging risk vectors in financial fraud space through various activities like validation, monitoring, and identification of risks related to model development
- Contribute, lead and participate in the discussion related to analytical strategies, fraud prevention modeling, and the steps along model development lifecycle
- Identify structure to influence risk assessments, inclusive of technical, audit and market perspectives and contribute to discussions on emerging technologies around this space
- Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills
- Review and assess models inclusive of technical, audit, and market perspectives
- Identify structure and scope of review
- Enable decision making for fraud prevention or mitigation efforts with broad impact and act as key participant to develop and document analytical models
- Collaborate and consult with regulators and auditors
- Present results of analysis and strategies to multiple stakeholders
Required Qualifications:
- 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- Prior model development or model validation related exposure to Machine Learning models specifically in Fraud detection and fraud prevention space.
- Prior exposure to regulatory framework related to model risk management.
- Ability to utilize and enhance or tweak generative AI tools or Large language models for efficient handling of day-to-day activities.
Posting End Date:
28 Oct 2026*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.
How we rate this
Lead Quantitative Analytics Specialist at Wells Fargo rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where model validation was part of your work. What did you do?
- Tell me about a project where quantitative analytics was part of your work. What did you do?
- Tell me about a project where fraud risk was part of your work. What did you do?
- Tell me about a project where statistical analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Risk Management, Model Validation, Quantitative Analytics, Fraud Risk, and Statistical Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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