Analytics Manager

• About this role:

  Wells Fargo is seeking an Analytic Manager ​

  This position will manage and lead the team responsible for performing various complex activities related to fraud, claims and scam, risk prevention and detection efforts for fraud analytics including Deposits (Check, MRDC, ACH), credit card, debit card, wires, and online money movement products including optimization of existing strategies, creating new detection or prevention strategies/rules to increase overall detection rates, and managing controls for a given set of money movement products.  Team member must be able to work and align with operations and the broader fraud and scam mitigation strategy.

  The leader 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.

  In this role, you will:

• Manage and develop a team of individual contributors in planning, coordinating, and executing data research projects or results oriented intelligence that supports line of business or companywide business objectives
• Manage the team’s day to day responsibilities and delivery activities, collaborate across lines of business including operations on fraud and scam mitigation efforts.
• Provide analytical support for different types of fraud identification and prevention/detection strategies, methods, and other fraud- related projects
• Identify and recommend strategies for developing and utilizing technical or analytic resources to enable initiatives that predict, improve, support, and measure business success
• Interpret and develop strategies that maximize profits or asset growth and minimize credit losses, operating losses and other risk exposures
• Ensure adherence to data management and data governance regulations, and policies and compliance requirements
• Collaborate and consult with peers, colleagues and multiple level managers to ensure effective consultation and recommendations based on data analysis
• Provide leadership to the department in the identification and development of innovative research concepts and designs
• Work with clients to define issues and information needs and translate them into specific data and technical requirements to support business initiatives and projects
• Manage allocation of people and financial resources
• Mentor and guide talent development of direct reports and assist in hiring talent
• Lead and support the End-to-End model monitoring of fraud models. Support model implementation, monitoring, and documentation
• Support analysis and development of strategies, methods, and other fraud-related projects
• Establish mechanisms to manage and mitigate fraud risks for all portfolios
• Assess current state of capabilities and bring on board, manage the right talent to achieve plan goals
• Stakeholder management with the objective of improving the effectiveness of the team
• Performance evaluation for team members along with building the career maps for the team
• Serve as a valuable resource to the other members of the team while promoting knowledge sharing and team collaboration

• Required Qualifications:

• 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2+ years of leadership experience
• 4+ years' experience in one or a combination of the following: data analytics, or predictive modeling with at least one year of modelling experience or theoretical knowledge, strategy development and evaluation, reporting.
• 2+ years of managerial experience
• Experience with partnering and collaborating across lines of business and with operations to deploy prevention and detection strategies.
• 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
• Fraud domain understanding experience
• Demonstrated experience with Strategy development and evaluation.
• Demonstrated experience with statistical modelling techniques and AI-ML techniques
• SAS (e.g. Enterprise Guide or Enterprise Miner or Base SAS) and/or Python or R experience
• Ability to create documentation of process flows, business analysis and metadata  
• Experience in Financial services or knowledge of consumer/retail financial products
• Demonstrated critical thinking and problem-solving skills.

• 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 demonstratable strong presentation skills; ability to tell the story to an executive audience.
• Engage with cross culture team members and stakeholders, and other lines of business with competing priorities.
• Engage with cross culture team members and stakeholders
• Understanding of retail branch, phone, and digital customer experience
• Experience working on BI Tools like QlikView or Tableau
• Experience with MS Office Suite (PowerPoint, Excel, Word) – intermediate at a minimum

Posting End Date: 

*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.