Quant Analytics Associate

Join our dynamic team as a Quantitative Analytics Associate in the Consumer and Community Banking Fraud Prevention Optimization Strategy team. You'll play a key role in reducing fraud costs and enhancing customer experience through complex analyses and collaboration. This position offers growth opportunities and the chance to work with cross-functional partners, presenting insights to managers and executives. Be part of a team that leverages advanced analytics and innovative tools to promote impactful business improvements.

Job Summary

As a member of the Fraud Prevention Optimization team, you will focus on reducing cost of fraud, through complex analyses combined with business insights and collaboration. Our objective is reducing losses and / or operating expenses while balancing customer impact through optimizing business processes and decisioning. Team members will frequently interact and communicate with cross-functional partners and present complex analysis succinctly to managers and executives. This role provides an opportunity to be part of a dynamic team that is instrumental in protecting the bank by leveraging complex analytics and new tools like large language models to deliver sustainable, hard hitting business improvements.

Job Responsibilities

• Interpret and analyze complex data to formulate problem statement, provide concise conclusions regarding underlying risk dynamics, trends, and opportunities.
• Use advanced analytical & mathematical techniques to solve complex business problems.
• Manage, develop, communicate, and implement optimal fraud strategies to reduce fraud related losses and improve customer experience across credit card fraud lifecycle.
• Identify key risk indicators, develop key metrics, enhance reporting, and identify new areas of analytic focus to constantly challenge current business practices.
• Provide key data insights and performance to business partners.
• Collaborate with cross-functional partners to solve key business challenges.
• Assist team efforts in the critical projects while providing clear/concise oral and written communication across various functions and levels.
• Champion the usage of latest technology and tools, such as large language models, to drive value at scale across business organizations.

Required qualifications, capabilities, and skills

• Bachelor's degree in a quantitative fieldor 3years risk management or other quantitative experience
• Background in Engineering, statistics, mathematics, or another quantitative field
• Advanced understanding of Python, SAS, and SQL
• Query large amounts of data and transform into actionable recommendations.
• Strong analytical and problem-solving abilities
• Experience delivering recommendations to leadership.
• Self-starter with ability to execute quickly and effectively.
• Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives

Preferred qualifications, capabilities, and skills

• MS degree in a quantitative fieldor 2or more years risk management or other quantitative experience.
• Hands on Knowledge of AWS and Snowflake.
• Advanced analytical techniques like Machine Learning, Large Language Model Prompting or Natural Language Processing will be an added advantage.