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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A Mathematical Modeling Analyst is responsible for developing and analyzing mathematical models to solve complex problems in various industries, including finance, engineering, and healthcare. They use advanced mathematical and statistical techniques to create models that simulate real-world scenarios and provide insights to decision-makers.
Responsibilities:
- Developing and implementing mathematical models to solve complex problems.
- Analyzing and interpreting data to inform model development and refinement.
- Communicating findings and recommendations to stakeholders, including clients and management.
- Collaborating with other analysts, data scientists, and subject matter experts to ensure accurate model inputs and outputs.
- Testing and validating models to ensure accuracy and effectiveness.
- Staying current with industry trends and advancements in mathematical modeling.
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Requirements
- Bachelors or Masters degree in Mathematics, Statistics, or related field.
- Strong understanding of advanced mathematical and statistical techniques.
- Experience with mathematical modeling software, such as Matlab, R, or Python.
- Experience in data analysis and interpretation.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Attention to detail and accuracy.
- Creativity and innovation.
- Adaptability and flexibility.
- Strong work ethic and time-management skills.
Benefits
Extreme Learning and training environment.
Continuous growth every 3 months financially & in Responsibilities.
Compensation based on contribution value.
Mathematical Modeling, Analyst, Mathematics, Statistics, Advanced Techniques, Modeling Software, Matlab, R, Python, Data Analysis, Communication, Collaboration, Attention to Detail, Creativity, Innovation, Adaptability, Flexibility, Work Ethic, Time-Management, Validation, Testing.