At Aristocrat, We are on a mission to find the best talent potential individuals in thirst for innovation & Knowledge evolution.
Career in Aristocrat Involves remote modality and several cutting edge stipend linked corporate certification in house programs.
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- Collaborate with clients to understand their needs and identify data sources and variables needed to build models.
- Design and test mathematical models to ensure accuracy and reliability.
- Analyze and interpret results of models and present findings to clients and stakeholders.
- Keep up-to-date with industry trends and advancements in mathematical modeling techniques.
- Develop and implement mathematical models to solve complex problems in various industries, including finance, healthcare, and engineering.
- Ensure compliance with regulatory and ethical standards for modeling and data privacy.
- Provide guidance and feedback to team members to improve their skills and performance.
- Work with cross-functional teams to integrate models into existing systems and processes.
- Maintain project timelines and budgets, and communicate progress to clients and stakeholders.
- Develop and maintain documentation of the modeling process, assumptions, and limitations.
Send you CV to (WhatsApp)
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Requirements
- Bachelors or Masters degree in Mathematics, Statistics, or a related field.
- 1+ years of experience in mathematical modeling, with a proven track record of designing and implementing successful models.
- Strong analytical and problem-solving skills.
- Proficiency in mathematical modeling software and programming languages such as Python or R.
- Excellent communication and presentation skills to convey complex information to clients and stakeholders.
- Ability to work in a fast-paced environment and handle multiple projects simultaneously.
- Knowledge of industry-specific regulations and ethical standards related to modeling and data privacy.
Benefits
Extreme Learning and training environment.
Continuous growth every 3 months financially & in Responsibilities.
Compensation based on contribution value.
Predictive Analytics, Manager, Statistics, Mathematics, Statistical Techniques, Modeling Software, SAS, R, Python, Data Analysis, Communication, Collaboration, Attention to Detail, Creativity, Innovation, Adaptability, Flexibility, Work Ethic, Time-Management, Validation, Testing, Leadership, Project Management, Resource Management, Mentorship, Training.