4 Dynamic Modelling Jobs

As a Senior Financial Analyst specializing in Dynamic Modelling & Data Analytics, you will be responsible for leveraging your expertise in financial modelling, data analysis, and strategic insights to contribute to the success of our high-performing team. With over 5 years of experience post CFA Level III, you will play a crucial role in developing advanced financial models, extracting actionable insights from large datasets, and supporting key strategic decisions. Your primary responsibilities will include building, enhancing, and maintaining dynamic financial models in tools like Excel, Power BI, Google Sheets, or Python. These models will encompass integrated 3-statement forecasts, DCF valuations, cash flow waterfalls, and cohort analysis for various revenue streams and customer segments. Your ability to ensure transparency, scalability, and adaptability of these models to changing assumptions will be essential. In addition, you will conduct in-depth data analysis using tools such as Excel, SQL, and Python to identify performance patterns, KPIs, and predictive drivers. Clear communication of these insights to stakeholders through data visualization tools like Power BI or Tableau will be a key aspect of your role. Furthermore, you will collaborate with business leaders on financial planning, unit economics analysis, and strategic scenario testing, as well as support fundraising processes and M&A deal evaluations. To excel in this position, you must possess a CFA Charter (or equivalent) along with expertise in dynamic financial modelling, advanced Excel skills, and proficiency in data analytics tools. Your strong grasp of financial fundamentals, valuation techniques, and capital structuring, coupled with exceptional communication skills to translate complex financial insights into strategic narratives, will set you up for success in this role. Overall, your ability to collaborate with senior leadership, investors, and cross-functional teams to drive value creation, make data-backed strategic choices, and support financial decision-making will be instrumental in shaping the future growth and success of our organization.,

A Senior Power Systems Modelling Engineer plays a crucial role in advancing electrical and power systems modelling tools. You will be responsible for developing and optimizing dynamic models for power systems, with a focus on Wind farm, HVC, and hybrid systems. Conducting rigorous simulation tests to evaluate model performance and ensure reliability will also be a key part of your role. Collaboration with multiple teams to leverage data for detailed system modelling is essential, as well as creating comprehensive documentation outlining model methodologies and studies. Additionally, you will provide technical leadership by offering guidance and mentorship to junior engineers and supporting grid connection projects. The ideal candidate should have a Bachelor's or Master's degree in Electrical/Electrical & Electronics/power systems engineering or a related field with 8 to 10+ years of experience. Proven experience in modelling inverter-based resources and working with tools like PSCAD, ETAP, ATP, DIgSILENT, and PSS/E is required. Strong foundational knowledge of electrical engineering principles and the ability to work independently are essential skills for this role. Excellent communication skills are also necessary for discussing and negotiating technical standards with stakeholders.,

Sr. Technologist (CoE: Process Automation) ~ Position overview / Objective~ Responsible for conceptualizing, developing, implementing, and maintaining Process Automation / Digitalization solutions to streamline and optimize Technology business processes. Skilled in process automation applications and ability to work closely with cross-functional teams are the primary job requirements. Job Requirements & Responsibilities Key Responsibilities: Process Assessment: Collaborate with CTS , Tech CoE, Ops, IT departments to assess current business processes, identify bottlenecks, and evaluate opportunities for automation and optimization.Document existing processes and gather requirements for automation projects. Automation Development: Conceptualize and develop automation solutions using industry-standard tools and technologies. Create automation workflows, scripts, and bots to automate repetitive and manual tasks. Integration and Testing: Integrate automation solutions with existing systems, applications, and databases.Conduct thorough testing and quality assurance to ensure the accuracy and reliability of automated processes. Monitoring and Maintenance: Establish monitoring and alerting mechanisms to track the performance of automated processes. Provide ongoing maintenance and support for automation solutions, including troubleshooting and resolving issues. Process Documentation: Document automation workflows, procedures, and configurations for reference and training purposes. Maintain up-to-date documentation and make it accessible to relevant stakeholders. Continuous Improvement: Stay updated with emerging automation technologies and best practices. Identify opportunities for process optimization and automation enhancements . Qualifications: Bachelor's degree in Chemical Engineering with 8 to 13 years of experience. Proven experience in monitoring various Process Automation applications like Process data historian, Laboratory data management system, Data reconciliation, Data Analytics, Data reconciliation, Optimization, or related applications. Strong analytical and problem-solving skills. Familiarity / Expertise in various Automation tools IP.21, Sigmafine, LIMS, Basic and advanced data analytics tools. Excellent communication and teamwork skills to collaborate with cross-functional teams. Attention to detail and commitment to data accuracy. Knowledge of business process analysis and optimization. Results-oriented and a strong commitment to improving operational efficiency. KEY SKILLS Data analysis & modeling skills. Mathematics and Statistics Database Knowledge Basic Programming Tools. Good understanding of data analytics tools. Project Management Stakeholder Management.

Technologist (CoE: Process Automation) ~ Position overview / Objective~ Responsible for conceptualizing, developing, implementing, and maintaining Process Automation / Digitalization solutions to streamline and optimize Technology business processes. Skilled in process automation applications and ability to work closely with cross-functional teams are the primary job requirements. Job Requirements & Responsibilities Key Responsibilities: Process Assessment: Collaborate with CTS , Tech CoE, Ops, IT departments to assess current business processes, identify bottlenecks, and evaluate opportunities for automation and optimization.Document existing processes and gather requirements for automation projects. Automation Development: Conceptualize and develop automation solutions using industry-standard tools and technologies. Create automation workflows, scripts, and bots to automate repetitive and manual tasks. Integration and Testing: Integrate automation solutions with existing systems, applications, and databases.Conduct thorough testing and quality assurance to ensure the accuracy and reliability of automated processes. Monitoring and Maintenance: Establish monitoring and alerting mechanisms to track the performance of automated processes. Provide ongoing maintenance and support for automation solutions, including troubleshooting and resolving issues. Process Documentation: Document automation workflows, procedures, and configurations for reference and training purposes. Maintain up-to-date documentation and make it accessible to relevant stakeholders. Continuous Improvement: Stay updated with emerging automation technologies and best practices. Identify opportunities for process optimization and automation enhancements . Qualifications: Bachelor's degree in Chemical Engineering with 4 to 10 years of experience. Proven experience in monitoring various Process Automation applications like Process data historian, Laboratory data management system, Data reconciliation, Data Analytics, Data reconciliation, Optimization, or related applications. Strong analytical and problem-solving skills. Familiarity / Expertise in various Automation tools IP.21, Sigmafine, LIMS, Basic and advanced data analytics tools. Excellent communication and teamwork skills to collaborate with cross-functional teams. Attention to detail and commitment to data accuracy. Knowledge of business process analysis and optimization. Results-oriented and a strong commitment to improving operational efficiency. KEY SKILLS Data analysis & modeling skills. Mathematics and Statistics Database Knowledge Basic Programming Tools. Good understanding of data analytics tools. Project Management Stakeholder Management.