Consumer Product Strategic Analyst III - Network Fraud Strategies
Newark, Delaware;Plano, Texas; Richmond, Virginia; Fort Worth, Texas; New York, New York; Boston, Massachusetts; Charlotte, North Carolina; Chicago, Illinois; Kennesaw, Georgia; Phoenix, Arizona
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 to identify fraud networks using graph analytics. This role is focused minimize 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 and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
Fraud is an ever-changing landscape, where determined adversaries constantly attempt to gain access to customer accounts. We are looking for an energetic, inquisitive and talented data scientist to join our team to help stop financial crime. In this role, you will be expected to work with our lead data scientist and the team executive as well as our internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud.
Some tasks that this role may be responsible for include (but are not limited to):
Link Analysis/Graph analytics to find and mitigate deeply connected fraud networks and detect new accounts being added to these networks
Presentation of work to all levels of the organization including senior leadership
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 coordination of the production of product performance reports and updates for senior management
This position is not eligible for sponsorship.
Required Qualifications:
4 years of experience in big data and analytics with experience analyzing >10 millions records
Must be proficient with SQL and one of SAS, Python or Java including ability to independently write and debug automation processes in Pyspark
Critical problem-solving skills including selection of statistical analysis (hypothesis testing) and deployment of solutions
Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also working as part of a broader team
Excellent communication and influencing skills
Thrives in fast-paced and highly dynamic environment, be comfortable working without clear directions
Comfortable with learning new technology, coding languages
Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions
Desired Qualifications:
Advanced Quantitative degree (Masters or PhD)
Tangible track records of implement process automation and improvement using Python/ Java
Strong background in statistical learning / time series/or anomaly detection
4+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cyber security or other heavily quantitative areas
Proficient with H2O or similar advanced analytical tool
Strong knowledge of graph databases such as Neo4j or Tigergraph
Skills:
Big data analytics
Process automation
Data engineering
Business Analytics
Business Intelligence
Data Quality Management
Fraud Management
Monitoring, Surveillance, and Testing
Collaboration
Data Visualization
Oral Communications
Problem Solving
Written Communications
Analytical Thinking
Critical Thinking
Data and Trend Analysis
Innovative Thinking
Research
Shift:
1st shift (United States of America)
Hours Per Week:
40
Pay Transparency details
US - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544)
Pay and benefits information
Pay range
$79,700.00 - $118,900.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This 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.
Benefits
This 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.
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .
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Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.
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This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.
