Engineering Intern-Docv & Device
Socure
Engineering Intern-Docv & Device
Socure
Digital identity verification and fraud prevention
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
This internship offers a unique opportunity to work at the intersection of Document Verification (DocV), Digital Intelligence (DI), fraud detection, and behavioral analytics. The core focus is on exploring how behavioral and device signals—such as interaction timing, motion data, and environmental context—can be leveraged to better understand user sessions and strengthen fraud detection systems. The successful intern will evaluate, prototype, and demonstrate how these signals can improve decisioning accuracy, enhance system robustness, and be integrated into DocV and RiskOS workflows. You will not just observe; you will build, analyze, and deliver a portfolio-ready prototype that informs future detection and risk capabilities.
Data Instrumentation & Collection - Instrument code to collect behavioral and device signals. Deliver a clean, structured dataset.
Signal Analysis & Feature Engineering - Analyze data and engineer features. Deliver analysis showing signal impact.
Detection Prototyping - Develop detection or scoring logic. Deliver a working proof-of-concept with metrics.
4. Integration & Documentation - Map integration points and document findings. Deliver technical documentation and presentation.
Required:
Pursuing a degree in Computer Science, Engineering, Data Science, or similar
Experience in Go, Python, or Java
Familiarity with data analysis or ML concepts
Understanding of APIs and backend systems
Ability to work through ambiguity and iterate quickly
Strong communication skills
Nice to Have:
Exposure to fraud, identity, or security domains
Experience with behavioral or event-based data
Familiarity with SQL, Spark, or large-scale data tools
Experience with dashboards or data visualization
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
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Socure provides digital identity verification and fraud prevention services for financial institutions through a subscription-based platform. It uses machine learning and advanced algorithms to analyze small amounts of customer data to predict fraud risk. A flagship feature, the Sigma Fraud Score, compares transactions against a proprietary database of known fraudulent users and traits to detect suspicious activity. Additional tools like Device Risk verify session authenticity by gathering device and browser signals, supporting seamless and secure customer experiences. Socure differentiates itself with a robust, data-driven fraud scoring system, a suite of identity verification and compliance tools, and continuous platform updates delivered as a service. Its goal is to help banks and other lenders verify customers quickly and accurately while reducing fraud and ensuring regulatory compliance (e.g., Customer Identification Programs under the Patriot Act).
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