Sr Associate, Fraud Analytics

Avant • Chicago, IL

23h • Hybrid

About The Position

Avant is seeking knowledgeable fraud professionals to join its Fraud Operations team in Chicago. This position is crucial for leveraging data to identify fraud trends and for developing and deploying strategies to combat fraud attacks throughout the entire customer lifecycle, including application and synthetic identity fraud, as well as first and third-party fraud. At Avant, the company values Authenticity, Collaboration, Problem-Solving, Customer focus, and Initiative. They believe in fostering an environment where great ideas come from anywhere, everyone is an owner driving change, and teamwork leads to more enjoyment. Avant is a high-growth financial technology company that prides itself on problem-solving and collaborating with intelligent, highly-motivated individuals to innovate digital banking. The company offers perks, benefits, social events, and a flexible growth environment that encourages new projects and career ownership. Since 2012, Avant has connected over 1.5 million customers to over $7.5 billion in loans and 1 million credit cards, building a strong work culture. They have been featured in major publications like The Wall Street Journal and The New York Times, and have raised over $600 million in equity capital.

Requirements

• Bachelor's Degree in Technology, Statistics, Business Analytics, related field, or its equivalent
• 5+ years of analytical experience in customer risk management at a consumer banking financial institution.
• 5+ years of experience leveraging data tools such as SQL, R, Python
• Knowledge of check, ACH, wire transfer, debit/credit card and other payment channels operating rules
• A highly motivated individual with a fraud strategy background, the ambition to drive change, a strong eagerness to learn, and the ability to communicate and collaborate effectively in complex and evolving environments.
• Strong quantitative and problem-solving skills with key attention to detail
• High level of inquisitiveness, initiative, and critical thinking
• Prior experience in statistics and machine learning modeling techniques through coursework or professional experience

Nice To Haves

• Master's preferred

Responsibilities

• Train, test and deploy supervised and unsupervised machine learning models using algorithms such as XGBoost and Isolation Forest.
• Build fraud strategies around outbound and inbound ACH transactions, check deposit and debit card transactions.
• 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
• Use data to understand new ways of finding impactful insights from limited data sets and develop recommendations
• 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 the 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 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: Senior