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Assistant Director, Treasury Planning (Hybrid) - Financial Services - Treasury Planning & Operations
Qualifications: Exceptional Excel skills: financial modeling and forecasting, complex formulas, scenario analysis, automation and data management using VBA and Python. Five to seven years of relevant experience
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Questionnaires, Body Weights). · Data analysis and visualization skills (Power BI, Excel, R, Python, etc.). · Previous interdisciplinary work and communication within a comprehensive high-performance environment
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institution Demonstrated proficiency in R, Python, or another data science language Familiarity with data visualization, statistical analysis, or machine learning concepts Genuine enthusiasm for working with
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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of the company. Basic Qualifications BSc in Computer Science, Engineering, ICT or related fields. Solid hands-on experience with Python and familiarity with major deep learning libraries such as PyTorch
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with databases including database and/or API design. Proficiency in high-level object-oriented programming and scripting languages, such as Python, C++, C#, Java, JavaScript, etc. Interest in Computer
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engineering or a related discipline Strong programming skills (e.g., Python, R) Experience with data processing and analysis Knowledge of statistics, or a strong willingness to learn A genuine interest in
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for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching
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Python and/or R. Experience with workflow managers (Nextflow/Snakemake), HPC environments (SLURM, LSF), and containerization (Docker, Singularity/Apptainer) is a plus. Working knowledge of AI/ML models and
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures Knowledge in the field of ML security is desirable. Good Python skills, especially with