Senior Data Analyst
5 days ago
Experian is a global data and technology company that empowers individuals and businesses worldwide by providing innovative solutions to redefine lending practices, prevent fraud, simplify healthcare, create marketing strategies, and uncover deeper insights into the automotive market.
We operate in various sectors, including financial services, healthcare, automotive, agribusiness, insurance, and more. Our team of 22,500 people across 32 countries is dedicated to unlocking the power of data through advanced technologies.
As a Senior Scoring Analyst at Experian, you will be part of the model building team responsible for developing logistic regression and machine learning models. Your key responsibilities will include:
Key Responsibilities- Complex data preparation for model development
- Building models using Paragon Modeller/SAS and Python
- Presenting models to stakeholders
You will lead analytics project delivery efforts and provide project management to develop descriptive solutions that deliver benefits to clients and their customers. Key areas of focus include:
Data Analysis & Model Development- Building scorecard models, i.e., PD models
- Testing bureau models on different portfolios
- Calibrating models to recent populations, bad definitions, and/or portfolios
- Validating internal and external models
- Reviewing modelling processes to optimize current model building and ensure quality control measures are in place
- Aligning the team's objectives with Experian's model building strategy
- Ensuring quality and accuracy of your work and analysts' work on specific projects
- Developing new bureau and bespoke client models
- Analyzing results from monitoring packs to identify trends
- Up-skilling junior team members to enhance technical skills and modelling interpretation
- Maintaining process and product documentation for internal and external stakeholders
- Participating in sales enablement for new analytics products and attending client meetings for pre-sales and post-sales discussions
- Staying up-to-date on relevant legislation and regulation affecting Experian's analytical solutions
To excel in this role, you should possess a degree or equivalent standard with high mathematical content, such as Mathematics, Statistics, Economics, Business Mathematics and Informatics, Engineering, Actuarial Science, Scoring Specialist or Data Science.
We celebrate individuality and take our people agenda seriously, focusing on DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering, and more. Experian is an Equal Opportunity and Affirmative Action employer, committed to innovation and diversity driving success. Everyone can succeed at Experian and bring their whole self to work, irrespective of gender, ethnicity, religion, colour, sexuality, physical ability, or age.
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