Sr Associate, Fraud Analytics

Avant • Chicago, IL

4d • $100,000 - $130,000 • Hybrid

About The Position

Avant is looking for knowledgeable fraud professionals to join our Fraud Analytics team in Chicago. This position is critical in utilizing data to identify fraud trends, developing and deploying strategies to fight against fraud attacks across all channels of credit card transactions, and managing the performance of fraud strategies to meet the company KPIs.

Requirements

• Bachelor's Degree in Technology, Statistics, Business Analytics, related field (Master's Or PHD preferred), or comparable experience
• 5+ years of analytical experience in the consumer finance industry (Identity or Transactional fraud experience preferred)
• 5+ years of experience leveraging data tools such as SQL, R, Python
• 5+ years of experience conducting data analytics in a lending/banking organization
• Ability to translate analysis results into clearly defined and implementable strategies/rules
• Strong quantitative and problem-solving skills with key attention to detail
• High level of inquisitiveness, initiative, and critical thinking
• Ability to independently manage small to medium projects and provide support for larger projects, ensuring implementation and team collaboration.
• Proven ability to effectively communicate with all levels of staff and management
• Prior experience in statistics and machine learning modeling techniques through coursework or professional experience
• Demonstrates sound judgment in selecting solutions and methods
• Proven ability to communicate findings clearly to both technical and non-technical audiences

Nice To Haves

• Master's Or PHD preferred

Responsibilities

• Develop and implement fraud rules using analytical methods like segmentation, predictive models, hypothesis testing, etc.
• Use visualization tools like Databricks to build dashboards and monitor key performance indicators
• Develop and implement ad hoc unsupervised learning models—including clustering algorithms (such as K-means)—to identify anomalous patterns and segment data for in-depth analysis in large, complex datasets
• Use data to understand new ways of finding impactful insights from limited data sets and develop recommendations
• Assist with data wrangling and automation of data pipelines for real time alerting and performance monitoring
• Own and run key processes to reduce fraud losses.
• Analyze data, create models/strategies, and recommend solutions for the latest fraud trends.
• Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions
• Work with the team to measure impact and make updates to the model/strategies and services as needed.
• Communicate results, explain behavior of models/strategies, and set appropriate expectations with stakeholders.
• Strategize on building models and assist with deployments into production.
• Doing ad-hoc analysis and presenting results in a clear manner to Sr. Management

Benefits

• Choice of great Medical, Dental, and Vision Insurance Plan options
• 401(k) match
• Flexible Time Off
• Flexible Work Environment - (i.e. Mon/Tues/Thurs in-person)
• Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program
• Lunch Allowance (Fooda) and In-office Snacks
• Summer Fridays
• Fun In-Office and Virtual Social Events
• Swag

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees