Intern, Credit Risk Analytics

Risk Analyst – Summer Internship 

About Gen:   

Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. 

Together, we share a collective passion and vision to protect consumers and help them grow, manage, and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. 

When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. 

At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation, and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. 

If this sounds like you, we’d love you to be part of Gen. 

About the Role 

• What are you doing this summer? If you’re looking for an internship that gives you hands-on experience in a fast-paced, high-impact technology environment—especially one at the forefront of cybersecurity—you’re in the right place. 
• This is an opportunity to grow your skills, build your resume, and make a real impact. 

Key Responsibilities 

• You will oversee, plan and manage an initiative to improve our transaction classification process. This project will have significant impact on important product initiatives, and require programming, analysis and collaboration across multiple teams, and culminate in the launch of the new enhanced process. 
• Develop Machine Learning Models / Rules to Identify specific types of recurring transactions and overall spending trends within bank account data. Examples include: 
• Recurring utility bills 
• Recurring telecom/cellphone bills 
• Other significant recurring trades  
• Spending habits relative to income 

About You 

• A current undergraduate or graduate student, rising junior/senior preferred 
• Experience with NLP models 
• Knowledge of AWS/cloud data platforms (Redshift, Snowflake) 
• Previous experience in building models / scores 
• Curious, proactive, and eager to learn in a dynamic, fast paced environment 
• Self-starter who’s not afraid to try innovative ideas and learn by doing 

Skills: 

• SQL: Intermediate proficiency with complex queries, joins, and window functions 
• Python: Most data modeling will be written in python 
• Ability / willingness to learn how to use various ML/DS packages 
• Data Visualization: Experience with Tableau, Looker, Periscope, or similar tools 
• Excel/Spreadsheets: Advanced skills including pivot tables, VLOOKUP, and basic modeling 
• Statistics: Understanding of basic statistical concepts, A/B testing 

Personal Attributes: 

• Visionary leader with a strategic mindset and a passion for leveraging data to drive decision making. 
• Ability to thrive in a fast-paced, high-tech environment and manage complex problem 

Internship Details 

• Start Date: June 1 
• Duration: 10 weeks 
• NYC Office 
• Pay Rate:  $30.00 

Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.

We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency. 

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.