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Quantitative Analytics Specialist

  • Artificial Intelligence & Quantitative Analytics
  • Full time
  • R-230038

About this role:

Wells Fargo is seeking a Quantitative Analytics Specialist...

About this role:

Wells Fargo is seeking a team member who will be part of the Emerging Risk and Innovation team based out of Bengaluru, as an extension of its functional team in the US, working closely with the Emerging Risk, Deposit Account, and Payment Fraud teams within DA. The team member will be responsible for the fraud model monitoring and performance evaluation across the three work areas.


This position will be responsible for performing various complex activities related to post-fraud risk detection efforts for online money movement products including: optimization of existing rules, creating new detection rules to increase overall detection rates, and having the end-to-end mind set for managing controls for a given set of money movement products.  The position will communicate regularly with team members and management both internally and the broader Wells Fargo enterprise fraud community to share trends or analysis, facilitate strategy development, or drive mitigation work streams. An ideal candidate must be able to communicate effectively and efficiently to large audiences, including senior management, and be proactive in the development and partnership related to fraud strategy creation and fraud analysis.

Responsibilities include, but are not limited to:

  • End-to-End model monitoring of fraud models
  • Support annual model review and (re)validation efforts
  • Support model implementation, monitoring, and documentation
  • Provide analytical support for different types of fraud identification and prevention strategies
  • Perform ad-hoc analysis to understand portfolio trends and develop actionable solutions
  • Support analysis and development of strategies, methods, and other fraud- related projects
  • Establish mechanisms to manage and mitigate fraud risks for all portfolios
  • Mentors junior Team Members
  • Serve as a valuable resource to the other members of the team while promoting knowledge sharing and team collaboration

Essential Qualifications

  • 5+ years of experience in one or a combination of the following: reporting, analytics, or predictive modeling with at least one year of modelling experience or theoretical knowledge
  • BS/BTech degree or higher in a quantitative field such as applied math, statistics, engineering, physics
  • Strong analytical skills with high attention to detail and accuracy
  • Model development or model monitoring experience
  • 3+ years of SAS (e.g. Enterprise Guide or Enterprise Miner or Base SAS) and/or Python or R experience
  • Demonstrated experience with statistical modelling techniques and AI-ML techniques
  • Ability to create documentation of process flows, business analysis and metadata  
  • Experience in Financial services or knowledge of consumer/retail financial products

Desired Qualifications

  • Knowledge and understanding of fraud detection process in banking
  • Strong analytical skills with high attention to detail and accuracy
  • Dedicated, enthusiastic, self-driven and performance-oriented and capable of handling multiple projects simultaneously
  • Possesses a strong work ethic and thrives in a collaborative team environment
  • Excellent verbal, written, and interpersonal communication skills and demontratable strong presentation skills
  • Engage with cross culture team members and stake holders
  • Experience working on BI Tools like QlikView or Tableau
  • Experience with MS Office Suite (PowerPoint, Excel, Word)

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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 US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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.

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