Product Intern — Watchlist & AML

Product Intern — Watchlist & AML

Department: Product

Duration: Summer Internship

Location: US Remote / Hybrid

Reports To: Head of Watchlist

About Socure

Socure is a leader in digital identity verification and fraud prevention, leveraging AI and machine learning to verify identities in real time. Serving over 3000 customers across fintech, banking, gaming, and payments, Socure is focused on reducing fraud while enabling seamless and inclusive user experiences.

About the Watchlist Team

The Watchlist team builds Socure’s AML (Anti-Money Laundering) compliance product — identity-centric screening and monitoring that helps financial institutions meet their regulatory obligations under OFAC, FinCEN, and global sanctions frameworks. Our system screens individuals and businesses against sanctions lists, Politically Exposed Persons (PEP) databases, enforcement records, and adverse media signals, then assigns match scores using a dual-scoring architecture: a deep-learning Name Match Score and a multi-signal Entity Correlation Score (ECS).

Customers like Chime, SoFi, Albert, FIS, Fanatics, and Kalshi rely on Watchlist to screen millions of transactions per month, stay in compliance during ongoing customer monitoring, and clear false-positive alerts through our AI-powered Case Analyst. The team is building toward a full-stack AML platform — and AI and agentic automation are central to where we are headed.

Position Overview

We are seeking a Product Intern to join the Watchlist team for the summer. This role sits at the intersection of product strategy, compliance research, and AI — giving you the opportunity to do work that directly shapes both our roadmap and the internal tools our team uses every day. You will work closely with Product, Data Science, and Engineering across four core projects described below.

Job Responsibilities:

Project 1: Shared Context, Automations, and Watchlist Selection LLM

Knowing which watchlists to use and how to configure them is genuinely hard — for our customers and for our own internal teams. You’ll build the AI system that solves it: structuring our full list catalog into machine-readable context, developing the prompt and retrieval logic that powers a Watchlist Selection assistant, and designing the automations that put it in the hands of Sales, DSCA, Support, and customers. This is a real product, built from scratch, that the team will use.

Project 2: Internal Documentation into a Shared LLM-Readable System

A huge amount of Watchlist knowledge lives in people’s heads, old Slack threads, and documents no one can find. You’ll fix that — auditing what exists, recreating it with LLMs into a consistent and AI-readable format, and building the shared knowledge system the team actually uses day-to-day. The goal is a living, queryable OS for Watchlist institutional knowledge that AI can easily read and that 10X the team’s productivity.

Job Requirements:

• Currently pursuing a Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Information Science, Law, or a related field
• Strong analytical and problem-solving skills with an ability to structure ambiguous problems
• Excellent written communication skills — able to turn complex, technical or regulatory material into clear, structured documentation
• Interest in AI/LLM applications, compliance technology, financial crime prevention, or fintech more broadly
• Comfortable working with data and doing independent research (SQL or Excel/Sheets experience is a plus)
• Detail-oriented, thorough, and self-directed — able to own a workstream and drive it to completion

Additional Information

Nice to Have

• Familiarity with LLMs, prompt engineering, or AI-assisted workflows
• Exposure to identity systems, KYC/AML, fraud detection, or legal research
• Experience with technical writing, API documentation, or knowledge management systems
• Comfort with Python or data analysis notebooks
• Interest in regulatory compliance, financial regulation (OFAC, FinCEN, BSA), or sanctions law

What You’ll Gain

• Hands-on experience across four distinct workstreams — data strategy, compliance research, AI product development, and knowledge infrastructure — giving you rare breadth for a single internship
• Deep exposure to the AML and sanctions compliance space, one of the fastest-evolving areas at the intersection of regulation, identity, and AI
• Lasting impact: the tools, documentation, and LLM systems you build will be used by the Watchlist team and its customers long after the summer
• Mentorship from experienced product managers, data scientists, and engineers working on cutting-edge match accuracy and agentic automation problems
• Participation in roadmap planning, product reviews, and cross-functional strategy discussions