Step into an exciting role as a Quant Analytics Associate on our Point of Sale Capabilities team, where you’ll use data and technology to help stop fraud and keep payments safe. If you enjoy solving problems and working with big data, you’ll thrive in this collaborative and innovative environment.

As a Quant Analytics Associate on the Point of Sale Capabilities team you will join a forward thinking team that seeks to prevent plastics fraud through innovating analytics, advancing machine learning models, and modernizing authorization platforms. Work with cross line of business partners to drive benefits in all aspects of fraud prevention through advancing technology capabilities, identifying new data sources, and improving analytic techniques. The ideal candidate should be a self-driven problem solver that is capable of analyzing big data, understanding complex systems, identifying opportunities, creating solutions and leading large scale projects

Job Responsibilities

• Understand the full lifecycle of a point of sale transaction, identify improvement opportunities and execute on them
• Contribute to key technical projects by making design recommendations and ensuring that all business needs are met
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions
• Partner with the CCB Risk Modeling team to advance our machine learning models by improving modeling techniques, identifying new variables, and improving the model update cycle
• Seek to improve internal analytical techniques and introduce best practices to help improve on key business metric and the ability to work collaboratively with cross-functional partners to understand and address key business challenges
• Identify business opportunity by performing well thought analysis – data mining, ensuring data integrity, synthesizing, and communication findings to senior management
• Provide clear and concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management, including Interpreting large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities as well as performing ad hoc analysis and deliver updates on key projects to leadership teams

Required qualifications, capabilities, and skills

• MS degree with 3 years Risk Management or other quantitative experience or
• BS degree with minimum 5 years Risk Management or other quantitative experience
• Proven track record in solving business problems, and/or Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables
• Advanced understanding of SAS, SQL, and Python
• Proven ability to query large amounts of data and transform the raw data into actionable management information
• Strong communication and interpersonal skills with ability to interact with individuals across departments / functions and with senior-level executives

Preferred Qualifications, Capabilities, and Skills

• Strong analytical and problem-solving abilities
• Experience delivering recommendations to management
• Familiarity with risk analytic techniques preferred

This role is not eligible for visa sponsorship