Senior Product Manager

Posted 10 Hours Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Information Technology • Legal Tech • Analytics
The Role
Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.
Summary Generated by Built In

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

LexisNexis Risk Solutions is seeking a Senior Product Manager to help grow our fraud analytics proposition and support our mission to provide essential insights that advance and protect people, industry and society. As a Product Owner within a global team, you will collaborate across product, development and data science to solve customer problems and deliver valuable fraud analytics products.


Responsibilities

  • Customer discovery, product delivery and development lifecycle: understand customer needs, experiment and collaborate to find answers to customer problems, define and prioritize incremental value, lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development teams, data science, fellow product managers and wider organization
  • Design and own product suite strategy and define it through collaboration and analysis of the right market, customer and business insights
  • Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction
  • Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support, Professional Services) to gather and assess product needs in the marketplace, manage customer feedback providing input and expertise to the marketing and other customer materials
  • Due to the global nature of the role flexible working hours will be required (split between UK and US working hours)

Requirements

  • A passionate problem solver focused on customer needs with a Product Management and/or Product Owner experience
  • Experience with managing analytics products within the fraud space is essential
  • Domain knowledge in fraud prevention, statistical modelling and AI/machine learning is a must
  • Ability to understand and analyze complex data in association with machine learning and AI algorithms
  • Committed to delivering high quality to the users, keeping the customers at heart of every product decision
  • Great organizational and prioritization skills and attention to details with the ability to make decisions under pressure
  • Excellent verbal and written communication skills and ability to connect and communicate with a wide range of stakeholders at various levels of seniority
  • Understanding of Agile methodologies and frameworks (e.g., Scrum and Kanban) is nice to have; experience with Spec-Driven Development (SDD) methodologies and practices is highly desirable

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.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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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

  • Product Management and/or Product Owner experience
  • Experience managing analytics products within the fraud space
  • Domain knowledge in fraud prevention
  • Knowledge of statistical modeling and artificial intelligence or machine learning
  • Ability to analyze complex data associated with machine learning and AI algorithms
  • Strong organizational, prioritization, decision-making, and attention-to-detail skills
  • Excellent verbal and written communication skills with diverse stakeholders
  • Understanding of Agile methodologies and Scrum or Kanban frameworks
  • Experience with Spec-Driven Development methodologies and practices

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

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.

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