Are you passionate about building scalable software that helps organisations detect fraud, verify identity, and make better decisions using advanced analytics?
Do you enjoy collaborating across engineering, data science, and product teams to turn intelligent solutions into reliable products that deliver real-world customer value?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/
About the Role
You will join an engineering team building software for fraud and identity analytics. In this role, you will design, build, test, and operate scalable software products, working closely with data scientists, engineers, architects, product managers, and quality engineers. You will help bring machine learning and analytical capabilities into production systems, delivering secure, reliable, and maintainable solutions that create measurable customer value.
Responsibilities
- Design, build, test, and maintain production-grade backend services and APIs using Python and Java.
- Integrate machine learning models and analytical components into real-time and batch software workflows.
- Develop reusable application components for feature calculation, inference, decision support, and model output interpretation.
- Build internal and customer-facing tools that help users explore, evaluate, and understand analytical outcomes.
- Apply sound software engineering practices, including modular design, code review, automated testing, documentation, and continuous improvement.
- Improve system performance, reliability, security, observability, and maintainability across the software lifecycle.
- Work with data scientists to translate prototypes and research outputs into robust, well-defined product capabilities.
- Participate in delivery and operational ownership for the services you build, including deployment, incident analysis, and remediation.
Requirements
- Professional software engineering experience with a strong record of delivering production systems.
- Strong programming skills in Python and Java, including object-oriented design, clean interfaces, and maintainable application structure.
- Experience designing and developing APIs, backend services, distributed systems, or data-intensive applications.
- Solid understanding of software testing, version control, code review, CI/CD, secure development, and production support.
- Practical experience integrating machine learning models, statistical algorithms, or advanced analytics into software products.
- Ability to work with data stores and data platforms such as Snowflake, relational databases, or comparable technologies.
- Understanding of common machine learning concepts, feature engineering, inference, evaluation, and the limitations of analytical systems.
- Strong ownership, problem-solving, and communication skills, with the ability to execute independently and collaborate across disciplines.
Risk benefit statement
Learn more about the LexisNexis Risk team and how we work here
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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Skills Required
- 4+ years software engineering (backend, full-stack, or ML)
- Strong Python
- Strong Java
- Snowflake or similar data-platform experience
- Familiarity with ML model serving and feature engineering
- Working knowledge of DevOps and secure engineering
- Strong ownership and independent execution
- LLMs, embeddings, or vector databases
- Behavioural, graph, or anomaly detection models
- dbt, Snowpark, or Snowflake ML
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
