At Experian, we are seeking a highly skilled and experienced Senior Scoring Analyst to join our dynamic team. As a global leader in data and analytics, we are dedicated to helping businesses make informed decisions and drive growth. In this role, you will utilize your advanced analytical skills and expertise to develop and enhance credit scoring models. Our ideal candidate is a self-motivated and detail-oriented individual with a strong background in statistical modeling and data analysis. Join us and be a part of our mission to empower businesses with data-driven insights.
- Develop and enhance credit scoring models to drive business growth and inform decision making.
- Utilize advanced analytical skills to analyze large datasets and identify patterns and trends.
- Collaborate with cross-functional teams to understand business needs and develop appropriate scoring solutions.
- Conduct regular model performance evaluations and make necessary adjustments to ensure accuracy and effectiveness.
- Keep up-to-date with industry best practices and incorporate them into model development processes.
- Communicate complex analytical concepts and findings to non-technical stakeholders.
- Identify opportunities for process improvements and automation in model development and implementation.
- Ensure compliance with regulatory requirements and company policies.
- Train and mentor junior analysts on statistical modeling techniques and best practices.
- Act as a subject matter expert for credit scoring and provide guidance to other teams within the organization.
- Contribute to the development of new products and services by providing insights and recommendations based on data analysis.
- Participate in industry conferences and events to stay informed about the latest trends and advancements in credit scoring.
- Collaborate with external partners and vendors to leverage their expertise and data sources for model development.
- Take ownership of projects and deliver high-quality results within established timelines.
- Uphold the company's values and represent Experian in a professional and positive manner.
Extensive Experience In Statistical Modeling And Data Analysis: A Senior Scoring Analyst At Experian Should Have A Strong Background In Statistical Analysis And Modeling Techniques, As They Will Be Responsible For Building And Maintaining Predictive Scoring Models.
Proficiency In Programming Languages And Software: The Job Requires Proficiency In Programming Languages Such As Sql, R Or Python, As Well As Experience With Statistical Software Such As Sas Or Spss.
Strong Understanding Of Credit Industry And Regulations: As Experian Is A Credit Reporting Agency, A Senior Scoring Analyst Should Have A Thorough Understanding Of The Credit Industry And Regulatory Requirements Related To Credit Scoring.
Excellent Communication And Presentation Skills: The Job Involves Working With Cross-Functional Teams And Presenting Complex Data To Non-Technical Stakeholders, So Strong Communication And Presentation Skills Are Essential.
Proven Track Record Of Delivering Results: Experian Values Candidates With A Proven Track Record Of Successfully Building And Implementing Scoring Models That Have Improved Business Outcomes. Previous Experience In A Similar Role Is Preferred.
Risk Management
Data Analysis
Machine Learning
Decision Making
Trend Analysis
Statistical modeling
Predictive analytics
Business Strategy
Fraud detection
Credit risk assessment
Scorecard Development
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
Critical thinking
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Scoring Analyst in South Africa is between R 500,000 - R 700,000 per year. This can vary depending on factors such as the specific industry, location, and level of experience.
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Experian plc is an Irish-domiciled multinational consumer credit reporting company. Experian collects and aggregates information on over one billion people and businesses including 235 million individual U.S. consumers and more than 25 million U.S. businesses.
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