Quant Analytics Associate

Join our dynamic team as a Quantitative Analytics Associate on the Consumer and Community Banking Fraud Prevention Optimization Strategy team. This role offers a chance to reduce fraud costs and enhance customer experience through complex analyses and collaboration. You'll engage with cross-functional partners, presenting insights to promote impactful business improvements while protecting the bank. In this role, your responsibilities will include: - 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. Qualifications required for this role: - Bachelors degree in a quantitative field or 3 years 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 the ability to interact with individuals across departments/functions and with senior-level executives If you are interested in this role, preferred qualifications and skills include: - MS degree in a quantitative field or 2 or 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.,