Consumer Product Strategic Analyst III - Network Fraud Strategies
Company: Disability Solutions
Location: Newark
Posted on: October 25, 2024
Job Description:
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 leadershipResponsibilities:
- 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 managementThis 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 solutionsDesired
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
TigergraphSkills:
- 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
- ResearchShift: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 - $118,900.00 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.
Keywords: Disability Solutions, Newark , Consumer Product Strategic Analyst III - Network Fraud Strategies, Professions , Newark, Delaware
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