About this role:

Wells Fargo is seeking a Senior Risk Analytics Consultant in Credit Risk Modeling as part of Corporate Risk. Learn more about the career areas and lines of business at wellsfargojobs.com.

Credit Abuse and First Party Fraud COE is a newly formed team under Corporate Risk Management. The team is responsible in building centralized framework of managing fraud losses across customer lifecycle driving better fraud mitigation, setting higher bar on controls and consistency across LOBs and providing speed to market in identification and mitigation of fraud attacks through use of sophisticated analytical tools and models. The team is expected to evolve from MIS providers to leading strategy and policy recommendations as well as conduct complex graph link analysis allowing us to effectively manage first and third-party fraud losses.

This is an exciting opportunity for a strong analyst to be part of this team. Incumbent is expected to understand technical skills including programming languages like SAS/SQL. He/she should be able to able to develop MIS reports, analyze trending data and share meaningful insights with senior management and stakeholders. In long run, this team is expected to evolve to lead advanced analytics like graph link analysis, ML models etc.

In this role, you will:

  • Develop expertise in data cubes, data structures and MIS managed by Credit Abuse and First Party Fraud COE team. This will go across all Consumer Lending businesses including credit card, auto, home lending and personal lending
  • Create and share monitoring reporting and diagnostics on various fraud losses across products including external benchmarking data
  • Develop data structures to drive analytics & root cause analysis of fraud attacks and trends
  • Develop strong data quality and governance checks to ensure accuracy of fraud reporting 
  • 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
  • Partner with the transaction fraud, payment fraud and portfolio risk management teams to enable a seamless view into early life credit and fraud risk management, while balancing customer experience and business value
  • Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to business requirement
  • Ability to interact with external vendors to understand, test and calibrate learnings from fraud models on an ongoing basis
  • Collaborate with broader team, influencing their decisions towards a common objective
  • Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
  • Develop new and enhance existing models for managing fraud risk, payment risk, credit bust outs, credit abuse. Evaluate new data sources and attributes, internal and external from extensive case reviews for efficacy in models

Required Qualifications, US:

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

Desired Qualifications:

  • Bachelor’s degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
  • Strong analytics skills and comprehensive understanding of P&L and risk drivers
  • Expertise in few programming and statistical packages - SAS, SQL, VBA, Macros, R, Python, E-miner, Tableau, SAS VA
  • Advanced expertise in MS office tools including Excel and Powerpoint
  • Knowledge and understanding of credit card, or auto loans lending practices, policies, and procedures
  • Understanding of complex databases and ability to navigate and build standardized data cubes and MIS
  • Ability to visualize and develop reporting and analytics serving stakeholder needs
  • Strong technical skills with ability to build large size data platforms, data cubes to support fraud analytics across the enterprise
  • Excellent communicator to a variety of audiences who seek outstanding and timely results
  • Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
  • Strong ability to develop partnerships and collaborate with other business and functional area
  • Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution 
  • Strong analytical and problem-solving skills with keen attention to detail
  • Ability to be flexible and adjust plans quickly to meet changing business needs
  • Ability to quickly learn business operations and processes

Job Expectations:

  • Ability to work at one of the approved job posting locations on a hybrid schedule

Posting Locations:

  • Charlotte, NC
  • West Des Moines, IA
  • Minneapolis, MN
  • Chandler, AZ
  • Dallas, TX
  • Wilmington, DE

Preferred location(s) listed above. Other locations within the Wells Fargo footprint may be considered for current Wells Fargo employees.

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, age, 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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Confirmed 10 hours ago. Posted 30+ days ago.

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