Intern – Credit Risk & Yield Analytics – FinTech (Summer )

Intern – Credit Risk & Yield Analytics – FinTech (Summer )

Location: New York City – onsite 5 days per week
Duration: 10 weeks (starting June 1)
Compensation: $30.00 per hour

Eligibility - Please clearly state your current U.S. work authorization status at the top of your CV or in your cover letter for example: U.S. citizen, permanent resident/green card holder, F‑1 with CPT, F‑1 with OPT, etc.)

About Gen

This internship is part of the MoneyLion (ML) team within Gen, focusing on analytics that support MoneyLion’s credit and yield decisions

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.

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

Are you ready to make an impact? 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.

From product innovation to data science, marketing, engineering, and beyond—you’ll work on real projects, solve real problems, and contribute to meaningful work that supports our mission.

As a Yield Analytics Intern, you’ll help the team understand how our models and signals perform across key business metrics like conversion, approvals, default and yield, and where we can optimize performance.

What You’ll Do

Offline Performance Analysis of Engine Models

• Analyze model scores against core performance metrics (conversion, approval, default, revenue, yield, etc.).
• Conduct score band analysis and performance segmentation.
• Evaluate model stability and performance consistency across cohorts.

Third‑Party Data Overlay & Signal Evaluation

• Integrate external data attributes into offline datasets.
• Assess signal strength and incremental predictive value.
• Identify which signals provide the strongest delineation between high‑ and low‑performing cohorts.
• Support feature performance comparisons using statistical and business‑impact frameworks.

Yield Reporting Framework Development

• Build structured reporting views in SQL/Looker (or similar BI tools).
• Create reusable dashboards that:
  • Segment performance by score band
  • Compare internal vs. external signals
  • Highlight incremental lift
  • Identify optimization opportunities
• Document methodology and metric definitions.

Analytics Framework & Documentation

• Partner with Product Analytics to align on standardized evaluation frameworks.
• Create documentation outlining:
  • Data sources
  • Methodology for signal comparison
  • Definitions of performance metrics
  • Guidelines for future model evaluation

Who You Are

• A current undergraduate or graduate student (rising junior/senior preferred) in Data Science, Statistics/Mathematics, Computer Science, Business Analytics, Economics/Finance, Applied Mathematics or a related field.
• Curious, proactive, and eager to learn in a dynamic, fast‑paced high‑tech environment.
• A self‑starter who’s not afraid to try innovative ideas and learn by doing.
• A visionary thinker with a strategic mindset and a passion for leveraging data to drive decision making.

Skills

• Analytics background: Strong analytical thinking and ability to translate data findings into business recommendations.
• Clear written and verbal communication skills, particularly in explaining technical findings to non‑technical stakeholders.
• Strong proficiency in SQL and experience working with large, structured datasets.
• Familiarity with BI tools such as Looker (or Tableau/Power BI) for reporting and dashboard development.
• Understanding of statistical concepts including regression, classification, lift analysis, AUC/ROC, and segmentation.

Why Join Us?

Our internship program is designed to be more than just a summer position—it’s a launchpad for your career. You’ll walk away with:

• Experience collaborating on impactful, real‑world projects alongside experienced professionals.
• Exposure to real‑time business challenges and the chance to contribute to innovative solutions.
• Learning sessions, workshops, and networking events with leaders across the company.
• Ongoing mentorship, feedback, and career development support.

Internship Program Details

• Start Date: June 1
• Duration: 10 weeks
• Location: Onsite NYC office, 5 days per week
• Pay Rate: $30.00 per hour

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.