Strategic Analytics - Associate

We are seeking motivated individuals interested in analytics and problem solving to join the Digital Fraud Strategy team . The Digital Fraud Strategy team is responsible for leveraging advanced analytical tools to protect customers from fraud and scams in the digital payments space (Zelle, bill pay, wire transfers, ACH, funds transfers, and real time payments). We leverage machine learning fraud models, overlain with vendor and in-house data as well as an array of analytical techniques to develop risk rules and strategies.

The primary objective of the team is to act as the end to end owner of fraud loss management of digital activity. The team focuses on three main areas: i.) Reducing fraud losses through identification of trends and development of strategies/business rules, ii.) reducing the cost of fraud alerts, by improving the efficiency of the alerts and/or automating review processes, and iii.) reducing negative customer experience and complaints by understanding points of friction and brainstorming solutions to resolve common pain points.

We are seeking individuals with intellectual curiosity and strong critical thinking and problem-solving skills. The candidate should possess a natural curiosity to explore the unknown.

A successful candidate in this role will be strong analytically, while also able to convey trends, changes, and strategies to senior leadership both verbally and through text/PowerPoint. They should be an outside the box thinker with a desire/ability to work as a part of team towards a common goal.

The key skills for the job are:

• Ability to develop new creative solutions to challenges presented by fraud activity leveraging outside the box thinking.
• Manipulate and understand large amounts of complex data to monitor and uncover behaviors and trends in fraudulent activity.
• Experience with SAS and SQL or other analytical programming
• Strong communication skills with the ability to communicate complex data into a clear story to team members as well as senior leaders.
• A desire to work as part of a team, and ability to work with cross functional teams
• The ability to develop new fraud fighting products by designing requirements and working with technical business partners to implement these products using agile design methodology
• The ability to work on diverse tasks and respond to emerging issues
• Candidate should have a passion for problem solving

Qualifications

• At least 2 years of professional experience, experience in risk management, strategic analytics, or data science preferred
• Strong analytical, interpretive and problem solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas
• Ability to compress large amounts of data into short and concise presentations with sound business conclusions
• Ability to develop elegant and common-sense solutions to complex business challenges
• Excellent analytical skills with the ability to comprehend and explain data / concepts in a clear and concise manner
• Strong knowledge of programming language like: Python, SAS, R and SQL
• Proficient in Excel & PowerPoint
• Demonstrated experience with data analysis, designing & analyzing experiments, and simplifying/communicating complex topics
• Strong P&L knowledge and understanding of drivers of profitability