4441 Hrsd Jobs - Page 18

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

Associate Process Manager Roles and responsibilities: Leadership and Mentorship Team LeadershipLead and mentor a team of data scientists and analysts, guiding them in best practices, advanced methodologies, and career development. Project ManagementOversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results. Innovation and Continuous LearningStay at the forefront of industry trends, new technologies, and methodologies, fostering a culture of innovation within the team. Collaboration with Cross-Functional Teams Stakeholder EngagementWork closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions. Communication of InsightsPresent complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions. Advanced Data Analysis and Modeling Develop Predictive ModelsCreate and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting. Quantitative ResearchConduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets. Statistical Analysis:Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk. Business Impact and ROI Performance MetricsDefine and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance. Cost-Benefit AnalysisPerform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI). Algorithmic Trading and Automation Algorithm DevelopmentDevelop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques. Back testing and SimulationConduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions. Advanced Statistical TechniquesExpertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics. Machine Learning and AIProficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP). Programming LanguagesStrong coding skills in languages like Python, commonly used for data analysis, modeling, and automation. Data Management:Experience with big data technologies, and relational databases to handle and manipulate large datasets. Data VisualizationProficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders. Cloud ComputingFamiliarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions. Quantitative AnalysisDeep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics. Algorithmic TradingExperience in developing and back testing trading algorithms using quantitative models and data-driven strategies. Technical and Functional Skills: Bachelor's degree in a related field, such as computer science, data science, or statistics. Proven experience of 5 to 7 years in programming languages, machine learning, data visualization and statistical analysis.

About The Role Maintenance of respective portfolio in Web collect (AR tool) Liaise with Account Managers to expedite payment from customers Sending out periodic reports to respective stakeholder/s Coordinate with cash applications team to get the paid invoices applied in the system Need to be excellent with Excel Primary Skills: Answering queries through e-mails and calls in timely manner Making collection calls to external customers chasing overdue invoices Skills (competencies)

About The Role Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules. Skills (competencies) Verbal Communication

Role Overview Would you like to join a truly international, talent driven company that values Safety, Ethics, Quality, Innovation and Employee Opportunity? You will work alongside a qualified elevator mechanic to learn about the elevator mechanic trade. This is your chance to discover and train for a job with a future! On a typical day you will: Work on a daily basis with an experienced tutor, who will support you as you learn the job. Familiarize yourself with the basic workings of an elevator through site visits and formal learning Learn how electronic and mechanical systems work, connecting components to form complex systems Learn digital tools such as IoT and its function in elevators Carry out preventive maintenance on contracted equipment: regular visits, checking safety devices. What you will need to be successful You are at least 18 years old. You are comfortable using electronic and digital tools You are willing to study to become a qualified elevator mechanic You have an interest to pursue a career as an elevator mechanic/installer You are hardworking, loyal and flexible You are a good communicator, excellent team player, optimistic and show initiative Benefits We offer you remuneration in accordance with local standards plus: Prospects for career development professionally and financially Free work clothes and high-quality safety equipment You'll join a team on a human scale, available and passionate, whose aim is to help you progress and join Otis on a long-term contract!

SUMMARY Job Title: Financial Operations Analyst About the Company: Our client is a prominent global professional services firm that specializes in digital, cloud, and security solutions. They provide a wide array of services, including Strategy and Consulting, Technology, and Operations Services across various industries. Job Role: We are in need of a Financial Operations Analyst who will be instrumental in driving financial results by gathering operational data and reports, conducting analysis, and reconciling transactions within the finance operations division. The role entails addressing and resolving issues of lower complexity, following moderate-level instructions for daily tasks, and receiving detailed guidance for new assignments. Requirements Requirements: Recent graduates holding a Bachelor of Commerce degree with exceptional communication skills Willingness to work in the Accounting field Capability to work in rotational shifts, including night shifts, and on 3rd-party payroll Immediate availability is preferred Benefits Salary: 20,000 /- CTC ( Including PF and ESI) BOTH WAY CAB PROVIDED

Key Responsibilities: Manage end-to-end recruitment process: job posting, screening, interviewing, and onboarding new employees. Maintain employee records and update HR databases. Assist in payroll processing and administration. Coordinate employee benefits, leave management, and attendance tracking. Support performance management processes including appraisals and training. Handle employee grievances, disciplinary actions, and conflict resolution. Ensure compliance with labor laws and company policies. Organize employee engagement activities and events. Prepare HR reports and maintain documentation for audits. Assist in developing and updating HR policies and procedures. Support training and development initiatives. Coordinate with various departments to address HR-related needs.

Transport is at the core of modern society Imagine using your expertise to shape sustainable transport and infrastructure solutions for the futureIf you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match Whats it like to work with Volvo Group ?The Volvo Group culture is defined by a set of five carefully chosen valuesCustomer success, Trust, Passion, Change, and Performance These values guide our day-to-day behavior and drive our decision-making at all levels of the organization They express our shared beliefs across countries and entities to form the basis for a high-performing culture that can help maximize the full potential of the organization Our company values help guide us on that journey? You will be part of our true global team that creates great results through amazing people, strong relationships, and a high-performance culture We are on our Digital transformation journey, ready to create the future What will you be doing Partner with business as a strategic HR partner to drive Digital & IT transformation and organizational change Anchor HR Processes such as merit reviews, promotional assessments, talent management and action plans resulting from employee feedback Use HR analytics and AI-driven insights to support workforce planning, performance trends, and decision-making Partner with business leaders to understand current and future skill/capability needs, including digital skill gaps Champion change initiatives, organizational values and culture; Improve organizational leadership and effectiveness Provide guidance and coaching to business unit management that will enable them to be more successful as they lead their teams Liase with recruiting team to get the right talent on board for the business unit Develop and support retention strategies for critical talent using data-backed insights Collaborate with the Talent Management team to design and implement strategies for identifying and developing high-potential, diverse talent Advise and act on any performance or employee relations issues at a senior level Integrate and partner with HR colleagues in the COE teams You will also lead and participate in cross-group and company wide assignments What are we looking for 10+ years of strong HR experience with a proven track record as an HR Business Partner Strategic thinker and proactive problem solver with experience using data analytics and AI tools in HR (e-g , for engagement, attrition, performance) Strong ability to engage and influence senior business leaders and stakeholders Experience of working cross functionally within all specialist HR functions with demonstrated collaboration & teamwork Capable of operating across the full HR spectrum?strategic, operational, and tactical Ability to set high personal goals and work independently Open to challenging the status quo; eager to learn, unlearn, and relearn in a digital HR landscape Experience working with Global teams and managing cross cultural dimensions will be an added advantage Exposure to HRIS systems, AI-enabled tools, and predictive HR models is preferred Ready for the next move If you are curious to explore how we put our words into actions, follow us on LinkedIn and volvogroup, Last Application Date 4th July 2025 We value your data privacy and therefore do not accept applications via mail Who We Are And What We Believe In We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions Fulfilling our mission creates countless career opportunities for talents across the groups leading brands and entities Applying to this job offers you the opportunity to join Volvo Group Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation We are passionate about what we do, and we thrive on teamwork We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment Group Digital & IT is the hub for digital development within Volvo Group Imagine yourself working with cutting-edge technologies in a global team, represented in more than 30 countries We are dedicated to leading the way of tomorrows transport solutions, guided by a strong customer mindset and high level of curiosity, both as individuals and as a team Here, you will thrive in your career in an environment where your voice is heard and your ideas matter

Purpose Key Responsibility About The Business: Tata Electronics Private Limited (TEPL) is a greenfield venture of the Tata Group with expertise in manufacturing precision components. Tata Electronics (a wholly owned subsidiary of Tata Sons Pvt. Ltd.) is building Indias first AI-enabled state-of-the-art Semiconductor Foundry. This facility will produce chips for applications such as power management IC, display drivers, microcontrollers (MCU) and high-performance computing logic, addressing the growing demand in markets such as automotive, computing and data storage, wireless communications and artificial intelligence. Tata Electronics is a subsidiary of the Tata group. The Tata Group operates in more than 100 countries across six continents, with the mission 'To improve the quality of life of the communities we serve globally, through long term stakeholder value creation based on leadership with Trust. Job Responsibilities: This role requires a Lead who has a good understanding of IT systems/Processes, applications of AI/ GenAI in HR systems, employee experience able to work with multiple central and vertical Teams and bring in emerging technologies in HR Minimum of 14 years' experience managing HR Landscape and 18 years of experience in overall IT HR Has worked as Lead managing HR core and related systems Has good knowledge of SuccessFactors and Kronos Has worked on creating employee experience platforms Has good understanding of HR processes Has good understanding of applying AI/ML and GenAI in HR processes Has worked on SuccessFactors or related core applications Has good understanding of emerging trends in HR Has worked on applications such as Time and Attendance in a manufacturing set-up Has worked in a manufacturing/electronics domain that has Office workers, plant workers and plant contractors Has worked in a manufacturing/electronics domain that has multiple business units and manufacturing plants Has worked on integrations with HR applications with other enterprise applications Has good experience in Automation tools such as CI/CD and Test automations Has worked on cloud technologies Has ability to evaluate best fit tools for the platform Can guide the development teams in solutioning and development Ability to collaborate across various departments to align technology solutions with organizational goals Is still hands on creating solutions and PoCs in emerging technologies Able to bring emerging technologies to the platform being built Proficiency in cybersecurity measures for the IT platforms Demonstrated ability to lead, mentor, and motivate a team of professionals, fostering a collaborative and innovative environment. Strong project management skills to plan, execute, and oversee the implementation of new systems and upgrades while adhering to timelines and budgets. Excellent verbal and written communication skills to effectively liaise with cross-functional teams, stakeholders, and senior management. Qualification Graduate Bachelors or Masters degree in engineering, Computer Science, Information Technology, or a related field. Additional Technical Requirements As a HR IT Lead, able to work with business, product partners and development partners to create/enhance a HR that will bring in efficiencies to the business and enhance overall employee experience Define, modify and review HR solutions standards and policies Define, modify and review HR solutions roadmap with clear benefits mapped Able to track benefits as per the HR Solutions roadmap Adopt and adapt emerging technologies into the platform, including AI and GenAI technologies Support development teams in realizing the benefits from an design and implementation perspective Ensure adherence to cybersecurity standards Mentor the development teams in the HR technologies Drive continuous improvement initiatives in technologies. Certifications in Analytics/GenAI and HR solutions Competencies Teamwork Agility Customer Empathy Purposeful Pursuit of Goals Pioneering Deep Domain Knowledge Future Ready

The ideal candidate will have a strong background in IT Services & Consulting, particularly in Oracle Fusion HCM functional consulting. Roles and Responsibility Collaborate with clients to understand their business requirements and provide tailored solutions using Oracle Fusion HCM. Design, implement, and maintain complex HR processes and systems using Oracle Fusion HCM modules such as Core HR, Absence Management, Time & Labor, Benefits, Compensation, Recruiting, Performance Management, Succession Planning, and Learning Management. Provide training and support to end-users on Oracle Fusion HCM functionality. Troubleshoot and resolve technical issues related to Oracle Fusion HCM implementation. Develop and maintain documentation of system configurations, customizations, and user procedures. Work closely with cross-functional teams to ensure seamless integration of Oracle Fusion HCM with other systems and applications. Job Requirements Strong knowledge of Oracle Fusion HCM functional modules and their applications. Experience working with clients in the IT Services & Consulting industry. Excellent communication, interpersonal, and problem-solving skills. Ability to work independently and collaboratively as part of a team. Strong analytical and troubleshooting skills. Familiarity with industry-standard HR processes and best practices.

About the role "Train people well enough so they can leave. Treat them well enough so they dont want to." Sir Richard Branson summed it up well. At BiteSpeed, we're obsessed with talent density . This role is about helping our team grow into the best versions of themselves, while being the go-to support system for the entire company. We dont see HR as just a value-protection function. Were designing it to be a value-creating onedeeply involved in helping our people do the best work of their lives . What youll do Tl;dr being an invisible support layer for the entire company as we scale from 60 to 100 people within a year, doing everything we can to help people reach their potential. Managing onboarding for new team members, everything it takes to make the new folks comfortable & kicked to get started from paperwork to onboarding checklists & even sending some cool BiteSpeed swag to welcome them. Managing employee data & compliances for things like health insurances, salary slips so they don't have to worry about this. Assisting in payroll management & reimbursements , basically getting everyone paid on time (we tried the work for free model & didnt quite work out). Overseeing all people operations - from picking the right gifts on occasions for the team to planning our quarterly off-sites & even managing our inventory(read: Macbooks). Regular one-on-ones with the team to understand how theyre doing personally & professionally, enabling them to become successful by teaming up with peers & managers. What makes you a good fit You like the challenge of taking BiteSpeed from total chaos to less chaos as we scale from to 100+ employees , with smart processes & diligent execution. You have 2+ years of experience driving the people function at an early stage startup (50+ employees). Youre a people custodian , its all about people for you & you get a kick out of creating a workspace with enviable talent density.

About The Role This is a full cycle recruitment role which involves working in partnership with internal stakeholders, senior managers and HR on all aspects of internal and external recruitment. You'd manage end to end recruitment for GTM and tech roles. What Youll Do Look at full cycle hiring process - post open roles on job boards, social networks, and our careers page to attract the right candidates. You'd primarily be responsible for managing talent acquisition operations, interview coordination, talent sourcing, resume screening, cross functional collaboration, etc. Screen resumes and applications based on key criteria. Send personalised outreach messages for outbound recruiting. Assess candidates for skills, culture, and motivation. Ensure all candidates have a great experience, whether hired or not. What makes you a good fit 2+ years of experience in recruitment (preferably with high growth startups is a plus). Experienced in recruitment operations - interview coordination, resume screening, etc. Excellent communication skills with the ability to juggle various open positions. Skills : talent acquisition, screening, interview coordination, talent sourcing, communication, posting jobs, screening calls, operations, excellent communication, communication skills, full cycle recruitment, recruitment, cross functional collaboration, resume screening, talent acquisition operations

We are looking for a highly skilled and experienced professional to join our team as an HRBR and CMR NPUC HRBR at Ekya Schools in North Bangalore, Byrathi, CMR National Public School, and CMR NPUC Byrathi. The ideal candidate will have 6-11 years of experience. Roles and Responsibility Manage and implement effective recruitment strategies to attract top talent. Develop and maintain strong relationships with stakeholders for seamless communication. Design and deliver training programs to enhance employee skills and knowledge. Analyze and resolve complex HR-related issues efficiently. Collaborate with cross-functional teams to achieve business objectives. Ensure compliance with labor laws and regulations. Job Requirements Proven experience in HR operations, preferably in the IT Services & Consulting industry. Strong understanding of HR principles, practices, and procedures. Excellent communication, interpersonal, and problem-solving skills. Ability to work independently and as part of a team. Proficiency in MS Office and other HR software applications. Strong analytical and decision-making skills.

SUMMARY Utilizing various recruitment methods such as job boards, social media, and personal networks to attract potential candidates. Conducting initial screenings, interviews, and assessments to evaluate and identify suitable candidates for open positions. Managing and overseeing the hiring process, including extending job offers and conducting background checks. Cultivating and managing relationships with recruitment agencies and other talent sources to ensure a steady pipeline of qualified candidates. Coordinating new hire onboarding activities, including orientation sessions and the completion of necessary paperwork. Overseeing the offboarding process for departing employees, including conducting exit interviews and managing required documentation. Maintaining accurate employee records and ensuring compliance with data protection regulations. Acting as a primary point of contact for employee issues, concerns, and complaints. Requirements Proven experience of minimum 2years as a recruiter or in a similar HR role. Familiarity with various recruitment methods and best practices. Strong communication and interpersonal skills. Knowledge of employment legislation and regulations. Ability to handle sensitive and confidential information with discretion. Proficient in HRIR and other HR-related software. Bachelor's degree in Human Resources or relevant field (preferred). Male candidate preferred

Evaluates incoming complaint information and maintains the record in the electronic database. Perform follow up activities to obtain additional information. Use and maintain database(s), provide analysis and trending data all on complaints. Required Candidate profile Writes investigation summaries based on technical product analysis information provided; Ensures record documentation is maintained in a constant state of audit readiness per internal policies.

Role & responsibilities : Architect and implement solutions across ITSM, ITOM, HRSD, CSM, and GRC modules Lead platform upgrades, integrations, and performance optimizations Collaborate with stakeholders to gather requirements and translate them into technical designs Ensure governance and best practices across ServiceNow environments Drive automation using ATF and scripting (JavaScript, Glide APIs) Manage CMDB structuring and data accuracy Mentor junior developers and contribute to strategic platform decisions Preferred candidate profile 712 years of ServiceNow development experience Strong command of JavaScript, XML, HTML/CSS, and REST/SOAP integrations Certified System Administrator (CSA); additional certifications like ITIL, CIS-ITSM, CIS-HRSD preferred Proven experience in complex integrations and middleware technologies Excellent problem-solving and communication skills

As a Talent Acquisition Partner based in Hyderabad, you’ll play a key role in attracting and hiring top talent across our business. You’ll collaborate closely with hiring managers and HR colleagues to deliver a seamless, strategic recruitment experience that supports our growth and people-first culture. What you’ll do Manage end-to-end recruitment for a variety of roles across the business Partner with hiring managers to understand role requirements and develop sourcing strategies Use data and market insights to advise on hiring decisions and improve recruitment outcomes Build talent pipelines through proactive sourcing, networking and engagement Champion candidate experience, ensuring timely, transparent and inclusive processes What we offer Bonus Scheme Discretionary annual performance bonus scheme applicable for all permanent employees Wellbeing: Private health and dental cover, life assurance, discounted gym membership, eye test and corporate GP IQ-EQ promotes a positive attitude to maternity and paternity, including shared parental leave and adoption leave. Flexible working: We support flexible arrangements to help you achieve a great work-life blend Allowances - Your Cost to Company (CTC) package includes, attractive shift and meal allowances. Health Insurance - We offer a robust health insurance plan that covers you, your spouse, up to two dependent children, and your parents or parents-in-law. Life Insurance - Acknowledging the importance of safeguarding employees’ families, IQ-EQ is committed to providing essential support to the family in the unfortunate event of a death in service of the employee. Personal Accident Insurance - As part of our commitment to your well-being, we provide personal accident insurance coverage for all our employees. Employee Assistance Programme - A free service, operating every day of the year, for employees and their immediate family members to avail themselves of information, confidential support and counselling from experienced professional counselors related to everyday situations or more serious problems, that may affect their health, family-life or job performance. Sick/Casual leave - IQ-EQ upholds a transparent and equitable sick/casual leave policy.