FUNCTIONAL SPECIALIST - MODELLING

Key Responsibilities:

• Develop and implement mathematical and statistical models to solve complex business problems.
• Use C/C++ and Python to design algorithms for data analysis, simulation, and optimization.
• Collaborate with data scientists, engineers, and other specialists to integrate models into larger systems.
• Conduct statistical analyses, hypothesis testing, and predictive modeling.
• Ensure the accuracy and reliability of models by performing thorough validation and testing.
• Stay updated on industry trends and best practices in mathematical modeling and computational techniques.
• Communicate findings, results, and methodologies clearly to both technical and non-technical stakeholders.
• Optimize existing models for performance and scalability.

Qualifications:

• Bachelors or Masters degree in Mathematics, Statistics, Computer Science, or a related field. PhD preferred.
• Proven experience in mathematical and statistical modeling.
• Strong programming skills in C/C++ and Python.
• Experience with libraries such as NumPy, SciPy, TensorFlow, or equivalent.
• Familiarity with data visualization tools like Matplotlib, Seaborn, or similar.
• Proficient in handling large datasets and working with databases (SQL, NoSQL).
• Strong analytical and problem-solving skills, with an ability to work in a fast-paced environment.
• Experience with machine learning frameworks and techniques is a plus.

Preferred Skills:

• Knowledge of parallel computing, multithreading, and optimization techniques.
• Experience in one or more specialized areas, such as quantitative finance, operations research, or engineering simulations.
• Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.
• Excellent communication and collaboration skills.

Vertical:

Technology