Company Description
Experian is a global data and technology company that empowers people and businesses around the world. We help redefine lending practices, discover and prevent fraud, simplify healthcare, create marketing solutions and gain deeper market insights in the automotive sector, all using our unique combination of data, analytics and software. We also help millions of people achieve their financial goals and help them save time and money.
We operate in a variety of markets, from financial services to healthcare, automotive, agribusiness, insurance and many other industrial segments.
We invest in people and cutting-edge technologies to unlock the power of data. As a member of the FTSE 100 index, listed on the London Stock Exchange (EXPN), we have a team of 22,500 people in 32 countries. Our corporate headquarters is in Dublin, Ireland. Find out more at experianplc.com.
Job Description
Specialized technical role that carries out data preparation, programming, development, calibration, validation, automation, documentation and model monitoring under the functional leadership of the Analytics Consultant. It does not include direct client management, supervision of staff, team leadership or commercial responsibility.
Purpose of the role:
The purposes of this role include:
ü Carry out the technical component of the assigned analytics projects, from understanding the data and building samples through to the development, validation, documentation and monitoring of solutions, under the functional leadership of the Analytics Consultant.
ü Develop statistical, econometric and machine learning models for the credit cycle, including origination, account management, collections, recovery, fraud, expected loss, provisions and macroeconomic forecasting.
ü Apply the methodological, regulatory and business specifications defined for each project, product and context, turning them into reproducible and verifiable technical developments.
ü Implement controls over data, samples, code, calculations, results and documentation, ensuring consistency, traceability and quality between inputs and outputs.
ü Automate repetitive processes and build reusable components that allow the development and maintenance of solutions to scale within the regional Hub.
ü Use artificial intelligence tools as authorized technical support in accordance with organizational policies and under human validation, information protection and traceability.
Qualifications
Qualifications
- Education: Professional degree in statistics, mathematics, actuarial science, data science, computer science, economics, finance, systems, industrial engineering or related fields, with solid training in statistics, probability, programming and data analysis.
- Experience: Minimum of three years' experience in developing statistical models and analytical solutions. Must demonstrate hands-on involvement in data preparation, programming, modeling, validation, automation and documentation. Experience in credit risk, financial services or provisioning systems is desirable.
- Required technical skills: Knowledge of Python and proficiency in SQL and Spark or PySpark. Knowledge of regression, classification, trees, segmentation, clustering, time series, survival analysis, machine learning, calibration, validation and monitoring. Experience with Git, reproducible notebooks, Azure Databricks or equivalent environments, testing, automation, visualization and processing of large volumes of information.
- Competencies: quantitative rigor, critical thinking, attention to detail, programming discipline, analytical and problem-solving skills, autonomy, organization, prioritization, collaborative work, written technical communication, continuous learning, quality orientation and responsible handling of confidential information.
Additional Information
Our uniqueness is that we celebrate what makes us different. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what really matters: DEI, work-life balance, development, authenticity, engagement, collaboration, wellbeing, reward and recognition, volunteering... and the list goes on. Experian's strong people-first approach has been recognized with Great Place To Work™ in 24 countries, FORTUNE Best Companies to Work For, and Glassdoor Best Places to Work (4.4 stars globally), to name a few. Take a look at Experian Life on social media or at our careers site to understand why.
Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a fundamental part of Experian's DNA and practices, and the diversity of our workforce drives our success. Everyone can succeed at Experian and bring their whole self to work regardless of gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know as early as possible.
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