Senior Analyst, Analytics Development & Model Governance

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, finance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description The Fraud Analytics and Commercialization team drives Experian's fraud analytics business through four integrated functions: pre-sales engagement, scalable and custom solutions, consulting, and operational enablement, with the goal of becoming the industry's provider-of-choice. We're looking for a Senior Analyst, Analytics Development and Model Governance, with a foundation in statistics and applied machine learning across the full modeling lifecycle, from initial development through validation, deployment, and ongoing governance, to join our Fraud Analytics team. As the ideal candidate, you are as comfortable interrogating model performance as building and refining models, take pride in the standards that keep production models trustworthy, and communicate findings to both technical and non-technical audiences. Core skills include navigating ambiguity, an impact-focused mindset, critical thinking, empathy, humility, and an eagerness to collaborate with data scientists, engineers, and product partners. You will be curious about the latest tools and AI solutions, evaluate their potential, and help bring the best of them into the team's workflows. Candidates who have taken an unconventional path and demonstrated the curiosity to figure things out without a blueprint will find this role and this team to be a good fit. You will report to the Data Modeling Director. You'll have the opportunity to: Develop, validate, and optimize statistical and machine learning models, including regression and XGBoost, to detect and prevent fraud. Design and implement features to improve model performance and stability. Build tools and frameworks to support scalable model development, evaluation, and monitoring. Evaluate model performance and conduct comparative analyses across approaches. Perform exploratory data analysis and assess data quality across diverse datasets. Enrich and integrate data from internal and external sources. Package, deploy, and support models in production environments. Conduct model governance activities, including validation, documentation, and ongoing monitoring. Produce reports, visualizations, and summaries to support decision-making. Qualifications 2+ years of experience in data science, analytics, or a related field Degree (undergraduate or graduate) in Statistics, Applied Mathematics, Econometrics, or another quantitative discipline, or an equivalent combination of education and experience. Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas. Solid foundation in statistics and machine learning best practices. Experience with regression, XGBoost, and other core ML algorithms. Hands-on experience across the full model lifecycle: data ingestion, EDA, modeling, validation, and deployment. Experience building or supporting model development tools or pipelines. Familiarity with model governance frameworks covering validation, monitoring, and documentation. Experience communicating analytical concepts to diverse audiences. Experience working with large-scale data processing frameworks such as Spark. Proficiency in UNIX/Linux environments and scripting, including Bash. Familiarity with object-oriented programming principles. Exposure to cloud platforms (AWS preferred). Experience debugging or supporting production systems; bonus: Java familiarity. Additional Information Benefits/Perks: Great compensation package and bonus plan. Core benefits including medical, dental, vision, and matching 401K. Flexible work environment, ability to work remote, hybrid or in-office. Flexible time off including volunteer time off, vacation, sick and 12-paid holidays. Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html. At Experian, our people and culture set us apart. We're committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our careers site. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote This is a remote position. Employee Status: Regular Role Type: Hub Job Posting - Salary Range: $89,865 - $155,767 Department: Analytics Schedule: Full Time Compensation: USD 89865 - USD 155767 - yearly