Fraud Forecasting Expert
2 weeks ago
About Tenerity India: We are a dynamic organization seeking a seasoned Fraud Forecasting Expert with 3-5 years of experience to join our team. The ideal candidate will work on developing and implementing statistical and machine learning models to forecast trends and patterns related to fraud.
Estimated Salary:** ₹1,200,000 - ₹1,800,000 per annum (based on location)
Primary Responsibilities:
We are looking for a skilled professional who can develop and implement statistical and machine learning models to forecast trends and patterns related to fraud. The ideal candidate will have hands-on experience in working with large datasets, applying various algorithms, and creating predictive models that anticipate fraud-related metrics and outcomes.
Key Responsibilities:
Develop and implement statistical and machine learning models to forecast trends and patterns related to fraud.Apply various algorithms to create predictive models that anticipate fraud-related metrics and outcomes.Prepare and clean datasets for modeling, including data preprocessing, normalization, and feature selection.Build models to forecast potential fraud-related metrics, such as frequency, volume, or risk levels.Perform what-if analyses to predict how different variables might impact fraud-related outcomes.Utilize Python for data manipulation, modeling, and visualization.Assess model performance using appropriate metrics relevant to forecasting.Conduct cross-validation and other validation techniques to ensure model accuracy and robustness.Create and present reports and visualizations to communicate forecasting results and insights to stakeholders.Work with data engineers and business analysts to ensure data availability and quality for accurate forecasting.Stay up-to-date with advancements in data science, forecasting techniques, and relevant tools.Explore new methods and technologies to enhance the accuracy and effectiveness of forecasting models.Requirements:
To be successful in this role, you should have:
- A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- At least 3-5 years of experience in developing and implementing statistical and machine learning models.
- Strong hands-on experience in working with Python, machine learning algorithms, and statistical software.
- Excellent problem-solving skills and the ability to think critically.
- Effective communication and presentation skills.
What We Offer:
We offer a competitive salary package, comprehensive benefits, and opportunities for growth and development. If you are a motivated and detail-oriented individual who is passionate about data science and forecasting, we encourage you to apply for this exciting opportunity.
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