Lead Analytics Consultant

Wells Fargo

5 - 10 years

17 - 22 Lacs

india bengaluru

Posted:None| Platform:

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Skills Required

python sas presentation skills r strategy development metadata data analysis bi business analysis fraud analytics market research qlikview bi tools tableau critical thinking predictive modeling quantitative ms office suite statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

About this role:

Wells Fargo is seeking a Lead Analytics Consultant

In this role, you will:

Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis to maximize profits and asset growth, and minimize operating losses within risk and other operating standards
Provide influence and leadership in the identification of new tools and methods to analyze data
Ensure adherence to compliance and legal regulations and policies on all projects managed
Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews
Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported
Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals
Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors
Be 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 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.

Required Qualifications:

5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of experience in one or a combination of the following: strategy development and evaluation, analytics, reporting.
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 Strategy Fraud domain understanding experience
4+ years of SAS (e.g. Enterprise Guide or Enterprise Miner or Base SAS) and/or Python or R experience
Demonstrated experience with Strategy development and evaluation.
Ability to create documentation of process flows, business analysis and metadata, and conduct root cause analysis.
Experience in Financial services or knowledge of consumer/retail financial products
Demonstrated critical thinking and problem-solving skills.

Desired Qualifications

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.
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.
Leads project and mentors junior Team Members
Serve as a valuable resource to the other members of the team while promoting knowledge sharing and team collaboration.
Knowledge and understanding of fraud detection process in banking.
Predictive modeling AI-ML basics
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.
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

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