Socure

Why Socure? 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. About the Role We are seeking a highly analytical and impact-driven Senior Data Scientist to join our Data Science Data team at Socure. In this role, you will work at the intersection of data, fraud risk, and identity verification, transforming raw, complex datasets into actionable insights that directly improve our products and decisioning systems. You will own high-impact projects end to end: designing scalable data pipelines, building and evaluating models, and leading analytical deep-dives that shape how we use data to detect fraud and validate identity. You will also leverage emerging approaches, including agentic AI and LLM-powered systems, to automate data analysis, accelerate insight generation, and scale how we evaluate identity data and detect fraud patterns. This is an advanced individual-contributor role (IC4 / Senior) that requires deep technical expertise, strong business judgment, and alignment with Socure's leadership competencies, including continuous learning, effective communication, accountability, team development, decision making, and managing change. What You'll Do Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems). Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation. Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases. Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems. Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escrow risks and work cross-functionally to resolve challenges. Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long term value for Socure's models and products. Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products. Conduct in depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring. Lead the end to end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post deployment monitoring where applicable. Present findings, trade offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non technical business leaders. Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure's leadership competencies. Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real world fraud and identity problems. Model Socure's embedded leadership competencies in day to day work: continuous learning, effective communication, accountability, team development, decision making, and managing change. What You Bring Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience. 5+ years of experience in data science, machine learning, or closely related roles, ideally in a high growth tech or fintech environment. Experience in fraud prevention, risk modeling, or identity verification, including working with noisy, adversarial, or high risk data environments. Proven experience working with large, messy, real world datasets to generate insights and drive measurable business impact (not limited to pure model development). Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images, and selecting appropriate modeling approaches for each. Strong proficiency in Python and SQL, with hands on experience using major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit learn) for model development and evaluation. Deep understanding of machine learning algorithms, model evaluation techniques (e.g., AUC, lift, calibration, stability), and data pipeline development for both batch and near real time use cases. Experience building and maintaining data pipelines and workflows in distributed or large scale environments (e.g., Spark, Airflow, Databricks, or similar technologies). Demonstrated ability to evaluate and work with third party data vendors or external datasets, including designing tests for data quality, coverage, stability, and incremental lift over existing signals. Experience with LLMs and agentic AI frameworks/infrastructure (e.g., LangChain, LangGraph, Ray) is strongly preferred; ability to design or extend agentic workflows for analytics and data quality use cases is a plus. Demonstrated ability to proactively deliver complex outcomes, lead technical workstreams, mentor others, and influence cross functional decisions without formal authority. Excellent written and verbal communication skills, with the ability to translate complex data problems and model behavior into actionable business insights for both technical and non technical audiences. Commitment to continuous learning, professional integrity, and high standards of business ethics, consistent with Socure's leadership expectations. Please note: we are unable to provide sponsorship now, or in the future. Applicants must be located in one of the following metros ( 45 miles) to be considered: New York, Miami, DC, Seattle, San Francisco. 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.

Socure is seeking a Senior Data Scientist in the United Kingdom to enhance identity verification and fraud risk management. This role involves building scalable data pipelines, leveraging advanced AI techniques, and collaborating cross-functionally. Candidates should have at least 5 years' experience in data science, expertise in Python, SQL, and familiarity with machine learning frameworks like PyTorch and TensorFlow. The company values continuous learning and diversity, providing an environment for impactful work.

Socure is looking for a Big Data R&D Engineer in the United Kingdom to develop graph-based algorithms for KYC and compliance products. The position requires a master's degree with relevant experience in data science and strong programming skills in Python or Scala. You will be responsible for building data pipelines, analyzing datasets, and supporting modelers with high-quality features. Socure values diversity and is committed to an inclusive work environment.

Socure is searching for a Senior Data Scientist I in the United Kingdom. This role involves designing and deploying advanced ML and graph algorithms on large-scale PII datasets. You will partner with product and engineering teams, lead projects end-to-end, and mentor junior team members. Strong skills in Python and experience with Spark are essential. Join a diverse team committed to tackling complex identity verification challenges and fraud detection while enjoying a rewarding career in a dynamic environment.

Socure is searching for a Senior Data Scientist I in the United Kingdom. This role involves designing and deploying advanced ML and graph algorithms on large-scale PII datasets. You will partner with product and engineering teams, lead projects end-to-end, and mentor junior team members. Strong skills in Python and experience with Spark are essential. Join a diverse team committed to tackling complex identity verification challenges and fraud detection while enjoying a rewarding career in a dynamic environment.

Why Socure? 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. About the Role The Big Data R&D team is responsible for building the core identity graph and entity-resolution capabilities that power Socure's KYC and compliance products. In this role, you will help develop graph-based algorithms and data pipelines on massive PII datasets, support modelers with high-quality features, and evaluate new data sources that feed our identity and fraud products. You will work closely with senior data scientists and engineers while developing your skills in large-scale ML, distributed systems, and graph analytics. What You'll Do Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms to analyze very large datasets for identity verification and anomaly detection. Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms that drive Socure's KYC and compliance solutions. Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using tools such as Spark/PySpark and AWS (e.g., EMR, S3). Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals. Help evaluate new third party and internal data sources: profile data quality, design offline experiments, and summarize impact on coverage and model performance. Implement and maintain SQL and Python/R code for data extraction, transformation, and validation; contribute to code reviews and basic testing. Provide analytical support to compliance and regulatory product teams, including ad hoc investigations, simple dashboards, and data deep dives. Communicate findings in a clear, structured way to peers and cross functional partners (Product, Engineering, Client Analysis), focusing on key insights and trade offs. Work effectively in a fast paced, cross functional environment; demonstrate ownership of well-scoped tasks and follow through to completion. What You Bring Master's degree with 2+ years of experience, or Ph.D. with 1+ years of experience in a data science or analytics role, or equivalent practical experience. Proficiency in at least one general-purpose programming language used in data science (Python, or Scala). Solid experience writing and optimizing SQL for large datasets; comfort working in data lake / warehouse environments. Hands on experience with Spark or PySpark and common ML libraries (e.g., scikit learn, XGBoost, TensorFlow/PyTorch a plus). Familiarity with UNIX environments and the AWS ecosystem (e.g., EMR, S3); Databricks experience is a plus. Working knowledge of supervised/unsupervised ML and basic statistics (similarity measures, clustering, evaluation metrics). Exposure to graph techniques or graph databases (Neo4j, AWS Neptune, GraphFrames) is a strong plus. Bonus: experience with Elasticsearch or DynamoDB; workflow tools such as Airflow for automating data pipelines. Ability to break down loosely defined problems, ask good clarifying questions, and iterate quickly with feedback. Note: sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered. 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.

Why Socure? 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. About the Role The Big Data R&D team develops cutting edge big data and graph based solutions for entity search, entity resolution, and identity matching that power Socure's KYC and compliance products. As a Senior Data Scientist I, you will lead the design and deployment of advanced ML and graph algorithms on large-scale PII datasets, own end to end projects from problem definition through production validation, and serve as a key technical partner to Product, Engineering, and Client facing teams. You will help define standards for feature engineering, experimentation, and data quality across our identity graph stack, with substantial impact on coverage, accuracy, and fairness. What You'll Do Own the design, development, and evaluation of machine learning, statistical, and graph-based algorithms for entity-resolution, identity trust scoring, and anomaly detection on massive datasets. Architect and optimize graph-based identity representations (identity graph structure, linkage rules, clustering) to improve match rates, reduce false positives/negatives, and support downstream fraud and KYC models. Build and maintain scalable data pipelines and feature stores in Spark/PySpark (or Scala), including data normalization, deduplication, and feature computation across large PII datasets in AWS/Databricks environments. Lead A/B tests and offline/online experimentation for new models, features, and data sources; define success metrics, design experiments, and ensure rigorous validation before rollout. Evaluate new internal and external data sources: explore signal quality, design backtests, quantify incremental value, and provide clear recommendations on vendor selection and integration. Partner closely with product managers and engineers to translate ambiguous business and regulatory requirements (e.g., KYC coverage, watchlist matching) into concrete modeling and data roadmaps. Provide deep analytical support to Socure's compliance and regulatory product suite, including investigative analyses, root cause analysis for anomalies, and clear narratives for internal and external stakeholders. Contribute to model governance and documentation: clearly explain model logic, data dependencies, limitations, and monitoring plans to internal risk/compliance stakeholders. Mentor junior data scientists and engineers on best practices in data exploration, feature engineering, experimentation, and code quality. Communicate complex technical concepts and trade offs in a concise, structured way to both technical and non technical audiences (e.g., product reviews, customer meetings, internal briefings). What You Bring Master's degree with 3+ years of relevant industry experience, or Ph.D. with 1+ years of experience in applied ML / data science roles; background in Computer Science, Statistics, Mathematics, or related quantitative fields preferred. Strong proficiency in Python (preferred) or Scala, including experience with ML libraries such as scikit learn, XGBoost, TensorFlow or PyTorch. Extensive experience with Spark or PySpark and distributed data systems (e.g., AWS EMR, Databricks) working on very large, messy datasets. Deep understanding of supervised and unsupervised learning, feature engineering, model evaluation, and experiment design (A/B testing, holdout strategies, stratification). Experience developing production-quality data pipelines and automated workflows using Airflow or similar orchestration tools. Practical familiarity with graph databases and/or graph frameworks (Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms for clustering, link prediction, and community detection is strongly preferred. Solid SQL skills and experience working with large-scale analytical data stores. Experience in at least one of: identity verification, fraud detection, credit risk, or adjacent high stakes domains is a plus. Demonstrated ability to lead medium to large projects end to end, make sound trade off decisions under ambiguity, and influence cross functional stakeholders with data and clear reasoning. 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. Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.

A leading identity trust firm in the United Kingdom is looking for a Senior Software Engineer to join the Workforce Verification Team. This role involves designing and developing innovative software solutions to eliminate identity fraud. The ideal candidate will have 5-7 years of experience in Golang, strong programming fundamentals, and a collaborative spirit. Responsibilities include developing distributed systems, mentoring junior engineers, and ensuring high-quality deliverables. Join a team dedicated to creating a secure digital economy.

Why Socure? 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. Socure is seeking a highly skilled and experienced Senior Software Engineer to join our Workforce Verification Team. In this critical role, you will be a technical leader, driving the design, development, and deployment of innovative software solutions that help eliminate identity fraud. You will work closely with cross-functional teams, mentor junior engineers, and ensure the delivery of high quality, scalable, and secure products. At Socure, we value teamwork, outcome driven development, and a commitment to best in class technology experiences. Key Responsibilities: Design, develop, test, and debug components for distributed systems that operate at large scale and high speed Own and drive nonfunctional requirements such as scalability, availability, and security Develop and maintain unit and integration tests, achieving robust code and functional coverage Produce enterprise class documentation for internal and external collaboration Break down complex tasks into manageable components, plan, and execute effectively Collaborate with team members to elevate technology standards and consistently apply best practices Participate actively in an agile environment to deliver high quality software solutions Job Requirements: 5-7 years of significant hands on coding experience with Golang, preferably in a product development environment Strong programming and design fundamentals, with excellent problem solving and coding skills Exceptional analytical and reasoning abilities, with a talent for visualizing processes and outcomes Passion for continuous learning and growth while building high performance systems, with a solid understanding of concurrency and multi threading Experience architecting microservices and developing RESTful APIs Prior experience with high throughput, low latency storage, cloud computing, NoSQL databases, big data analytics, machine learning services, or large scale systems is a plus 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.

A leading tech company in Greater London is seeking a hands-on Manager, Software Engineering to lead impactful backend systems development and foster engineering talent. The role emphasizes architectural design, cross-team collaboration, and mentoring while contributing to coding in a cloud-native environment such as AWS. Candidates should have extensive experience in software engineering, particularly with Golang, and possess strong leadership, communication, and operational skills. This is an opportunity to join a forward-thinking company committed to innovation and excellence.

Why Socure? 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. At Socure, we are revolutionizing digital trust by building mission critical systems that deliver high reliability and operate at global scale. As a Manager, Software Engineering, you will be a hands on technical leader who defines direction, raises engineering standards, and delivers measurable product outcomes, all while remaining deeply involved in design and development. This is not a traditional people management or delivery management role-here, you will write code, architect solutions, lead complex projects, and coach engineers to maximize their potential. This role is perfect for leaders seeking high growth, product driven environments, who are passionate about distributed systems, and who want to directly influence the design of secure, scalable, and resilient infrastructure while cultivating top engineering talent. What You'll Do: Architect and design scalable, resilient, high performance backend systems and platforms in AWS, prioritizing reliability, security, and cost efficiency. Contribute hands on to key initiatives-including design reviews, prototyping, coding, performance tuning, and debugging-typically 30% of your time, while mentoring engineers and establishing high standards. Lead cross team technical initiatives; drive design forums, establish engineering guardrails, and ensure high quality delivery via code reviews and automation. Partner closely with Product, Design, Data Science, and Platform teams to define project scope, sequence milestones, and proactively de risk execution for iterative releases. Own design of APIs and microservices, including REST and event driven patterns, and enforce best practices for versioning, contracts, and backward compatibility. Advance operational excellence by defining SLOs, improving observability and alerting, hardening on call procedures and runbooks, and leading incident response and post mortems. Solve complex distributed system challenges (such as throughput, latency, consistency, and data modeling) with pragmatic decision making and balanced tradeoffs. Document architectural decisions, service ownership, and operational runbooks to share knowledge and maintain long term scalability. Foster team growth through clear expectations, actionable feedback, and mentorship; hire, develop, and onboard diverse talent committed to a culture of ownership and collaboration. What You Bring: 7+ years of professional software engineering experience, including ownership of large scale backend systems in production. 3+ years of hands on technical leadership (as Tech Lead or Manager) with a track record of leading complex, cross team projects while contributing to code and design. 5+ years of experience with Golang (preferred) and/or Java, plus strong computer science fundamentals (data structures, concurrency, distributed systems). Deep understanding of AWS cloud native architectures and services (e.g., ECS/EKS, Lambda, OpenSearch, DynamoDB, RDS, S3) and resilience patterns. Proficiency with microservices, API design, and event driven systems, as well as experience with containerization and orchestration (Docker, Kubernetes). Strong operational mindset: expert in observability, monitoring, incident response, performance engineering, and adherence to security best practices. Familiarity with CI/CD pipelines, automated testing strategies (unit, integration, e2e), and modern DevOps workflows; comfortable with Git based trunk/branch strategies. Excellent communication, stakeholder management, and decision making skills; able to clearly frame tradeoffs and drive alignment across engineering and product teams. Applicants must have permanent right to work in the UK, as visa sponsorship is not available for this role. This position requires candidates to be based in or within a commutable distance of London, with the ability to attend the office as needed. 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. Follow Us! YouTube LinkedIn X (Twitter) Facebook

Socure is seeking a Developer Marketing Lead to strategize and own outreach to developers and technical buyers. The role requires 6-8 years of B2B marketing experience in developer marketing and a proven track record of driving pipeline through technical initiatives. The position involves collaboration with engineering and product teams and expects strong project management and analytical skills. This is a crucial position within a company committed to preventing identity fraud in the digital economy.