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Fraud Analytics and Innovation Senior Analyst

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!Job Description:This job is responsible for performing more complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems, such as Excel, SAS, SQL, Tableau, and other relational data bases, to provide analytical support on strategies, ensure goals are met, and propose policy/procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and creating mitigation strategies.As the digital landscape evolves, so too do the methods employed by criminals to perpetrate financial fraud. Money mules, individuals who unknowingly or knowingly facilitate illicit financial transactions, pose a significant threat to financial institutions. This role requires a strategic thinker with the ability to develop a deep understanding of money mule tactics and the ability to create innovative solutions to detect and prevent such activities.Responsibilities:- Strategy Development: Develop and implement comprehensive strategies to identify, prevent, and mitigate money mule activities. Stay abreast of emerging trends and tactics employed by money mules to ensure the effectiveness of detection strategies.- Data Analysis: Leverage data analytics tools and techniques to analyze large datasets, identify patterns, and uncover indicators of money mule activity. Develop predictive models and scoring mechanisms to prioritize potential cases.- Risk Assessment: Conduct risk assessments to identify vulnerabilities in the organization's systems and processes that may be exploited by money mules. Develop mitigation strategies to address these risks.- Collaboration: Collaborate with various departments, including compliance, fraud investigations, and operations, to ensure effective coordination and information sharing regarding money mule activities.- Reporting: Prepare regular reports on money mule detection efforts, including key performance indicators, trends, and recommendations for improvement.Responsibilities:• Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs• Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance• Leads the coordination of the production of product performance reports and updates for senior managementSkills:Business AnalyticsBusiness IntelligenceData Quality ManagementFraud ManagementMonitoring, Surveillance, and TestingCollaborationData VisualizationOral CommunicationsProblem SolvingWritten CommunicationsAnalytical ThinkingCritical ThinkingData and Trend AnalysisInnovative ThinkingResearchThis position is not eligible for sponsorship.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Required Qualifications:- 2+ years of SAS/SQL coding ability- Intermediate Excel and PowerPoint capability- Intermediate data science skills and working understanding of statistics and accuracy metrics- Excellent communication and presentation skills- Ability to interact effectively and build relationships with business partners at all levels- Proficiency in framing problems and developing impactful solutions with minimal oversight- Experience in managing competing prioritiesDesired Qualifications:- Fraud and/or Claims background with focus on Account Takeover a plus- Understanding of advanced data analytics and modeling techniques- Functional knowledge of multiple products and/or channels (e.g. Credit, Debit, Digital, Call Center, etc.)- Master's degree in a relevant field.- Certification in fraud examination or risk management.- Experience in the financial services industry.- Knowledge of anti-money laundering regulations.- Familiarity with developing Tableau dashboards- Experience presenting to senior leaders- Experience with hypothesis testing and/or feature prioritization.Shift:1st shift (United States of America)Hours Per Week:40Pay Transparency detailsUS - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544)Pay and benefits informationPay range$79,700.00 - $117,300.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
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$79700K
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What You Should Know About Fraud Analytics and Innovation Senior Analyst, Bank of America

At Bank of America, we believe in making financial lives better through every connection, and we're looking for a Fraud Analytics and Innovation Senior Analyst to join our Newark, OH team. In this dynamic role, you'll be at the forefront of developing strategies to combat financial fraud, particularly focusing on the emerging threat of money mules. You will utilize tools such as SAS, SQL, and Tableau to analyze and model data, ensuring that our strategies not only meet business goals but also enhance the customer experience. You'll dig deep into complex datasets to identify patterns and create predictive models that help prioritize cases of potential fraud. Moreover, your insights will be key in shaping policies and processes, all aimed at minimizing fraud loss and risk. Your analytical skills will shine as you conduct risk assessments, collaborate with various departments, and prepare reports that inform and guide our next steps. Being part of a diverse team at Bank of America means you'll also benefit from our commitment to your personal growth and well-being. We actively promote a work environment that values innovation, collaboration, and inclusivity, and we invest in our teammates through competitive benefits and career development opportunities. If you're eager to make a real impact and grow your career in fraud analytics, this role could be the perfect fit for you!

Frequently Asked Questions (FAQs) for Fraud Analytics and Innovation Senior Analyst Role at Bank of America
What are the primary responsibilities of the Fraud Analytics and Innovation Senior Analyst at Bank of America?

The Fraud Analytics and Innovation Senior Analyst at Bank of America is responsible for performing complex data analysis to minimize fraud loss, particularly evaluating risks posed by money mules. Key tasks include developing detection strategies, analyzing large datasets for patterns, conducting risk assessments, and collaborating with various departments to enhance the effectiveness of fraud prevention.

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What qualifications are needed for the Fraud Analytics and Innovation Senior Analyst role at Bank of America?

To qualify for the Fraud Analytics and Innovation Senior Analyst position at Bank of America, candidates should have at least 2 years of SAS and SQL coding experience, intermediate Excel skills, and a solid understanding of data science and statistics. Excellent communication skills and the ability to build effective relationships are also crucial, alongside a background in fraud management, if possible.

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What tools will a Fraud Analytics and Innovation Senior Analyst use at Bank of America?

As a Fraud Analytics and Innovation Senior Analyst at Bank of America, you'll use various analytical tools, including Excel, SAS, SQL, and Tableau, to perform data analysis, model risk, and visualize findings. Familiarity with these tools is essential to efficiently manage and analyze data related to fraud risk.

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What opportunities for growth are available in the Fraud Analytics and Innovation Senior Analyst position at Bank of America?

Bank of America provides a robust environment for growth within the Fraud Analytics and Innovation Senior Analyst position. Employees have access to continuous learning opportunities, mentoring, and the chance to take on new responsibilities in a supportive and inclusive workplace that prioritizes professional development.

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How does the role of Fraud Analytics and Innovation Senior Analyst contribute to Bank of America's overall mission?

The Fraud Analytics and Innovation Senior Analyst plays a critical role in Bank of America's mission to enhance financial lives by implementing strategies that prevent fraud. By developing innovative solutions to monitor and mitigate fraud risks, this position directly supports the company's commitment to Responsible Growth and customer security.

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Common Interview Questions for Fraud Analytics and Innovation Senior Analyst
Can you explain your experience with SAS and SQL as it relates to fraud analytics?

In preparing for this question, you should highlight specific projects where you've used SAS or SQL to analyze data, emphasizing any fraud-related insights you drew from your analysis. Discuss the complexities of the datasets you worked with and how your findings helped mitigate fraud risks.

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What methods do you use to identify money mule activities?

In response to this question, detail the analytical techniques you've employed to detect patterns indicative of money mule behavior, such as transaction monitoring and assessing data streams for anomalies. Be prepared to provide examples of how these methods proved effective in previous roles.

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How do you prioritize fraud cases when analyzing large datasets?

Here, discuss the criteria you use to prioritize cases, such as the potential financial impact, the likelihood of fraud, or historical data insights. Provide examples of how you've built scoring mechanisms or models to support your decision-making process.

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What is your approach to developing comprehensive strategies to mitigate fraud?

Explain how you identify vulnerabilities, collaborate with other departments for a holistic view, and leverage data analysis to inform strategy development. Use past experiences to illustrate successful strategies you've implemented.

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Can you describe your experience collaborating with cross-functional teams?

Discuss examples of when you've worked with compliance, operations, and investigation teams to ensure comprehensive fraud prevention measures. Highlight specific projects or initiatives where collaboration led to successful outcomes.

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How do you stay updated on emerging fraud trends and tactics?

Talk about the resources you use, such as industry reports, networking events, and continuous education, to keep abreast of trends. This demonstrates your commitment to ongoing learning in the fast-evolving field of fraud analytics.

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What analytical tools do you prefer for fraud detection and why?

Mention your preferred tools such as Tableau, SAS, or any other software. Discuss your reasoning based on ease of use, data visualization capabilities, or analytical depth, and provide examples of how these tools have facilitated your fraud detection efforts.

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How do you communicate analytical results to non-technical stakeholders?

Share your techniques for presenting data clearly, such as using visual aids or storytelling elements to make the data relatable and actionable. Provide examples of previous successful presentations to senior leadership or other teams.

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What analytical methods are you familiar with for fraud risk assessment?

Describe the analytical methods you have used, such as data modeling, trend analysis, or hypothesis testing, and relate them to their application in assessing fraud risks. Illustrate your answer with past experiences and outcomes.

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Can you give an example of a challenging fraud case you worked on and how you resolved it?

Be prepared to discuss a specific fraud case where you faced challenges in detection or resolution. Outline your problem-solving approach, the tools you employed, and the ultimate outcome to demonstrate your analytical and innovative thinking capabilities.

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Bank of America is one of the world’s leading financial institutions, serving individual consumers, small and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk ma...

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Full-time, on-site
DATE POSTED
December 16, 2024

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