Wells Fargo India Solutions Pvt Ltd

Lead Quantitative Analytics Specialist

Wells Fargo India Solutions Pvt Ltd
Hyderabad
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 5 yearsMin. 5 years

Job Description

Lead Quantitative Analytics Specialist

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.

Job role

Work location
Work locationHyderabad, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 5 years

About company

Name
NameWells Fargo India Solutions Pvt Ltd
Job posted by Wells Fargo India Solutions Pvt Ltd

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