Senior Data Modeling Analyst (REMOTE IN USA ONLY)

Company Description

Experian is the world’s premier global information services company. We empower individuals and our clients to manage their data confidently during momentous life events, such as buying a home or a car, sending a child to college, or growing a business. We enable consumers to gain financial control and access financial services, assist businesses in making informed decisions and thriving, help lenders to lend responsibly, and aid organizations in preventing identity fraud and crime.

We employ 20,000 people spread across 44 countries, and we invest daily in emerging technologies, skilled workers, and innovation to help our clients seize every opportunity.

We are immensely proud that FORTUNE has listed us as one of The 100 Best Companies to Work For. Moreover, for the past five years, we have been included in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

In today's complex business environment, Experian Decision Analytics simplifies challenging situations into confident decisions through three expertise areas: analytics, decisioning, and fraud and identity. This blend of business lines, enriched by our extensive industry and business experience, lets us resolve real-world problems for lenders, financial institutions, and other companies worldwide.

Job Description

The Experian's Analytics Data team is seeking a Senior Data Modeling Analyst to join the Fraud and Identity Solutions (FIS) Analytics team. This person will lead and conduct analytical projects and machine learning model development for Experian clients, especially involving fraud risk score analysis for account acquisition, applicant decisioning, and account management.

Key Responsibilities:

• Lead & execute analytical projects from the design of the solution and data integrity evaluation to the documentation and implementation of the solution.
• Create & implement machine learning models, business decision strategies, and conduct statistical analysis on new and existing models.
• Communicate, explain, and deliver presentations on analytic and statistical results to clients & end users.
• Work with internal and external clients to determine the appropriate requirements, analysis parameters, and performance measures.
• Interpret the results of analyses, identify trends and issues, and suggest alternatives to support business objectives.
• Produce implementation plans and participate in audits to support the implementation of statistical models and other decision tools.
• Provide analytical expertise to the field sales force and marketing organization.
• Support the development of new analytical and data products and services, and enhance current processes and offerings.

Qualifications

• A minimum of 2 years of industry experience in statistical modeling/data analysis, including data manipulation experience, preferably using Python.
• An advanced degree in Data Science, Mathematics, Statistics, or related field.
• Proficiency to build robust predictive models and in-depth understanding of statistical requirements and limitations of training and testing data.
• Ability to perform statistical analysis in 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 for evaluating and understanding data from an internal and client perspective.
• Strong fluency in at least one programming language: SAS, Shell scripting, Python, C++, SQL, or other languages and using Linux and Microsoft office products.
• Effective communication skills, both orally and in writing, to both technical and non-technical audience.
• Excellent problem-solving, analytic, organization, communication, interpersonal, and presentation skills.
• Experience in the financial services industry is preferred.

Additional Information

Why choose us?

• We prioritize our colleagues’ health and wellbeing, which is why our rewards, benefits, and wellbeing programs are designed for you to come to work feeling your very best. Our benefits focus on health, money and lifestyle and you can tailor your benefits to suit your individual needs.
• To understand our culture and what it’s like to work with us, check out our interactive guide here: https://view.pagetiger.com/experianguideforcandidates/1
• Interested in this role? Apply now to begin your journey with Experian.
• Experian Careers - Creating a better tomorrow together

Perks

• Flexible work schedule and a relaxed dress code
• Fully remote or an in-office hybrid model, depending on location
• Competitively priced medical and dental plans
• A comprehensive 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

Our compensation reflects labor costs across various 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 like job-related skills.