Company Description Experian is the world’s leading global information services company. During life’s big moments – from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers – we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime. We have 20,000 people operating across 44 countries and every day we’re investing in new technologies, talented people, and innovation to help all our clients maximize every opportunity We are very proud that FORTUNE named us one of The 100 Best Companies to Work For. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine . Today’s business environment is complex. Experian Decision Analytics turns challenging situations into confident decisions through three core areas of expertise — analytics, decisioning and fraud and identity. The combination of these business lines, along with our extensive industry and business experience, helps us solve real-world problems for lenders, financial institutions and other companies and institutions across the globe. As a thought leading organization, it is essential we effectively communicate our vision to clients, employees, and a myriad of other stakeholders so they understand where we are going and how we are advancing our big data and analytics capabilities to solve problems across industries. Job Description Experian’s Analytics Data team is looking for a Senior Data Modeling Analyst to join the Fraud and Identity Solutions (FIS) Analytics team. This person would lead and execute analytical engagements and machine learning model developments for Experian clients, primarily involving fraud risk score analysis for account acquisition, applicant decisioning, and account management. Key Responsibilities: Lead & execute analytical projects from solution design and data integrity evaluation through solution documentation and implementation. Create & implement machine learning models and business decision strategies and perform statistical analysis on new and existing models Communicate, explain, and deliver presentations to clients & end users on analytic and statistical results. Collaborate with internal and external clients to determine the appropriate requirements, analysis parameters, and performance measures Interpret results of analyses, identify trends and issues, and recommend alternatives to support business objectives. Produce implementation plans and participate in audits to support the implementation of statistical models and other decision tools. Support field sales force and marketing organization by providing analytical expertise. Support the development of new analytical and data products and services, and the enhancement of current processes and offerings. Qualifications Minimum of 2 years of statistical modeling / data analysis industry experience including data manipulation experience preferably using Python Advanced degree in Data Science, Mathematics, Statistics, or related field Have the knowledge and experience to build robust predictive models and intimately know the statistical requirements and limitations of training and test data. Be able to perform statistical analysis in a Linux or cloud computing (e.g. AWS) environments and manipulate various modeling tools with python notebook, shell scripting, Linux command line, or SAS Expert analytical skills to evaluate, understand, and interpret data from both an internal and client perspective Use best coding practices and strong fluency in at least one programming language: SAS, Shell scripting, Python, C++, SQL, or other languages Strong knowledge of Linux and Microsoft office products Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to both a technical and non-technical audience Excellent problem solving, analytic, organization, communication, interpersonal and presentation skills Financial services industry experience preferred Additional Information Why choose us? Our colleagues’ health and wellbeing are a top priority for us, that’s why our reward, benefits and wellbeing programs are designed so you can come to work feeling your very best self. Our benefits focus on health, money, and lifestyle so you can tailor your benefits to your own personal needs. Whether it’s your physical and mental wellness, getting to work or preparing for the next big milestone in your life, we have a range of flexible options to have you covered! To learn more about our culture and what it’s really like to work here, check out our interactive guide here: Could this be the role for you? Apply now to start your journey with Experian. To learn more about our culture and what it’s really like to work here, check out our LinkedIn and social media channels using the hashtags #UniquelyExperian Youtube video link: Experian Careers – Creating a better tomorrow together Find out what its like to work for Experian by clicking here Perks Flexible work schedule and relaxed dress code Fully remote or in-office hybrid model, depending on location Competitively priced medical and dental plans Well-rounded employer-matched 401(k) plan Free/discounted benefits and services, such as tax-free commuter passes and free credit monitoring A well-balanced work-life balance that includes generous sick and vacation time Experian is an Equal Opportunity Employer Anyone needing accommodation to complete the interview process should notify the talent acquisition partner 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. This position is also eligible for a variable pay opportunity and a comprehensive benefits package which includes health, life and disability insurance, generous paid time off including paid parental and family care leave, an employee stock purchase plan and a 401(k) plan with a company match. Experian is proud to be an Equal Opportunity and Affirmative Action employer. We’re passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses, and society. For more than 125 years, we’ve helped people and economies flourish – and we’re not done. We take our people’s agenda very seriously. We focus on what truly matters; diversity and inclusion, work/life balance, flexible working, development, collaboration, wellness, reward & recognition, volunteering, making an impact… the list goes on. See our DEI work in action! The power of YOU. We are building a culture where everyone is comfortable bringing their whole self to work. A place where we not only respect our differences and values but celebrate them in a positive and supportive environment. Find out what is like to work for Experian and discover the Unexpected! #J-18808-Ljbffr
C++ data-modeling SAS statistics SQL shell Python Machine Learning Amazon Web Services (AWS) Analytics Linux