Consumer Product Strategy Analyst III - Digital Fraud Strategies Analyst

$79,700 - $118,900/Yr

Bank of America - Boston, MA

Full-time - Mid Level

Boston, MA

Credit Intermediation and Related Activities

About the position

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. This job is responsible for performing more complex analysis and modeling to 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 databases 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. As a Client Protection Fraud Strategy Analyst, you will capitalize on your technical abilities and strategic thinking to solve business challenges and seek opportunities for improvement. The Digital Fraud team focuses on identifying criminals posing as customers who are intentionally trying to steal from the bank and deceive clients. You will join a team of fraud professionals who are dedicated to stopping criminals and protecting customers from both fraud, scams, and money mule activity. In the role, you will spend time analyzing difficult problems to effectively manage an evolving fraud attack environment. You will develop complex defenses designed to minimize the impact to good customers while maximizing fraud loss avoidance. You will work across multiple partner organizations and represent our team as a subject matter expert. We are looking for someone with strong communication skills, sound business judgment, and is results-oriented with a track record of thriving in a fast-paced entrepreneurial environment.

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
• Develops complex program models to extract data and uses multiple databases to acquire statistical and financial data
• Supports biometrics capability enhancements and strategy design
• Builds and develops logic for strategy
• Utilizes portfolio trends to propose strategy and policy changes within segmentation structure to produce optimal results
• Participates in the rollout of leading-edge machine learning technology
• Excels at risk/reward trade off
• Provides fraud requirements, testing, and development of strategies

Requirements

• 3+ years of fraud experience and/or 2+ years of analytical experience (Payment card /Retail Bank background preferred)
• Proficient in SAS/SQL and Excel
• Strong quantitative, critical thinking, and analytical skills
• Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
• Ability to work independently as well as part of a virtual team
• Innovative mindset with the ability to challenge the status quo
• Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines

Nice-to-haves

• Bachelors degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business
• Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
• Basic understanding of 1st and 3rd party fraud (claims to charge-off timing, chargeback recovery rights, etc.)
• Proven strong analytical and communication skills

Benefits

• Industry-leading benefits
• Access to paid time off
• Resources and support for employees to make a genuine impact
• Contribute to the sustainable growth of the business and the communities served