Device and Non Monetary Fraud Lead Analyst

Bank of America; Chicago (IL); On-site; USD 148,000 - 166,000; Full time

Job summary

Bank of America seeks a Device and Non Monetary Fraud Lead Analyst in Chicago. This role requires analytical expertise in fraud mitigation, focusing especially on portfolio risk and operational performance. The successful candidate will enhance fraud detection capabilities and collaborate across various functions to minimize risks and improve outcomes.

Qualifications

• 4+ years of fraud, cyber, or risk analyst experience.
• 3+ years of SQL and/or SAS coding ability.
• Ability to identify opportunities for improvement and work autonomously.

Responsibilities

• Coaches and mentors peers to improve proficiency in various systems.
• Conducting advanced reporting and drawing analytics-based insights.
• Investigation and root cause analysis of major fraud losses.

Skills

Fraud analysis

SQL

Communication

Education

B.A./B.S in Computer Science, Data Science, Statistics or related field

Tools

SAS

Tableau

Python

Job description

Device and Non Monetary Fraud Lead Analyst

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Device and Non Monetary Fraud Lead Analyst

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This range is provided by Bank of America. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$148,900.00/yr - $165,300.00/yr

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Summary:

This job is responsible for performing more complex analysis aimed at improving portfolio risk, profitability, performance forecasting, and operational performance for consumer products and related divisions, such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics, independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with business counterparts within the line of business and partner organizations (e.g.,. Risk, Product, etc.).

Account Takeover (ATO) persists as one of the most prevalent threats within the fraud landscape today. This, coupled with the expansion of our digital capabilities, and the wide array of compromised information available for purchase, has increased the scope and complexity of effectively detecting, mitigating and monitoring ATO risk within the Bank’s ecosystem.

The Fraud Prevention and Detection organization relies heavily on our understanding of current fraudster tactics to expand our capabilities, reduce customer friction, and make strategic investment decisions. Data related to customer profiles and online banking login events hold an important key to securing best-in-class fraud performance and exceptional customer experiences. The selected candidate will work closely with the Cross-Functional teams and internal stakeholders to minimize process gaps and deliver on organizational loss goals.

Device and Non Monetary Fraud and Innovation Senior Analyst-

This job is responsible for performing complex analyses of online logins, device characteristics, and other non-monetary data to minimize fraud loss exposure and negative impacts to the customer experience. Key duties include analytical support on strategy creation and optimization, proposal of policy/procedural changes, and partner engagement within a complex stakeholder matrix.

Responsibilities:

• Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics
• Supports execution of large scale projects, such as platform conversions or new project integrations, by conducting advanced reporting and drawing analytics based insights
• Deriving actionable insights from complex data
• Investigation and root cause analysis of major fraud losses and emerging trends
• Implementing incremental fraud mitigation controls in partnership with functional stakeholders
• Developing effective monitoring and oversight for cross-functional processes, inclusive of performance reporting and newly identified opportunities for collaboration across teams
• Supporting processes related to initiative management, including impact assessments, business case development, and capability roadmap development
  
  

Required Qualification:

• 4+ years of fraud, cyber, or risk analyst experience developing and/or optimizing mitigation strategies or managing large fraud programs/initiatives
• 3+ years of SQL and/or SAS coding ability
• Excellent communication and presentation skills
• Ability to identify opportunities for improvement and work autonomously with minimal direction
• Expertise in building and managing stakeholder relationships and presenting to senior leaders
• Ability to work in a fast-paced, dynamic environment
  
  

Desired Qualifications:

• B.A./B.S in Computer Science, Data Science, Statistics or related field
• Advanced degree in Computer Science, Data Science, Statistics, or related field
• Fraud or Claims background with focus on Online Banking, Account Takeover, and/or authentication
• Understanding of statistical methods for developing performance metrics
• Familiarity with data visualization tools, preferably Tableau
• Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)
• Proficiency coding in SAS and/or Python and using Hadoop Impala/Hive
• Familiarity with code automation
  
  

Shift:

1st shift (United States of America)

Hours Per Week:

40

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

• Industries

  Banking

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