Sr. Data Modeling Analyst (REMOTE IN USA ONLY)

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