Quant Analytics Associate
Aumni
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 be part of a team that leverages advanced analytics and innovative tools to promote impactful business improvements, while interacting with cross-functional partners and presenting insights to leadership.
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.
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 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 ability to interact with individuals across departments/functions and with senior level executives
Preferred qualifications, capabilities, and skills
- 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 will be an added advantage.
This is an exciting opportunity for associates looking to improve business practices and drive efficiencies across the fraud landscape