4441 Hrsd Jobs - Page 17

Responsibilities & Key Deliverables Preparing and managing AIS 008 documentation, including test plans, reports, and compliance sheets, to meet regulatory requirements. Serving as a liaison with regulatory agencies and other stakeholders to ensure timely and successful certification. Developing and overseeing testing procedures to verify compliance with standards and regulations. Identifying and resolving compliance issues and developing solutions to ensure successful certification. Managing multiple certification projects simultaneously, ensuring timely completion and adherence to budgets and timelines. Possessing strong technical knowledge and understanding of relevant regulations, standards, and testing procedures. Communicating effectively with internal and external stakeholders, including engineers, project managers, and regulatory agencies. Staying updated on regulatory changes and industry best practices. Closely working with CFT for certification. Experience Industry Preferred Qualifications General Requirements

Associate Manager HRBP (South) Chennai | Full-Time | Work From Office People. Purpose. Performance. You run the vibe. Who We Are At Shaadi.com, we re more than just a platform we re a people-powered movement creating real connections and lifelong stories . Behind the scenes, it s our teams that bring the magic to life. We re now looking for an HRBP who blends business thinking with big heart energy someone who can shape culture, fuel performance, and make people feel truly seen. What Youll Do Be the People Anchor Own the full HR journey for Sales, CRM, and Service teams. From onboarding to offboarding, you re the first call and the trusted voice. Smooth Operator Handle inductions, transfers, IJPs, grievances, exits all with zero chaos and max empathy. Performance Buff Drive OKRs, PMS, and feedback systems that help teams *actuallygrow. Culture Crafter Own festivals, fun, and engagement on platforms like Basecamp. EnergyYou bring it. Biz Partner in Crime Work with team leads to align people goals with business wins. What You Bring 3 6 years as an HRBP (Sales/CRM experience = extra sparkle ) MBA in HR Fluent in MS Office, OKRs, people data, and strong vibes Based in Chennai, cool with being in-office full-time Languages: - Tamil & English Must - Hindi / Telugu / Malayalam / Kannada Nice to have What You ll Get Real autonomy + growth A fast-moving, heart-forward culture Super collaborative team A seat at the table (and the snacks counter ) Work that makes you feel things Ready to Run the Vibe Let s go! Apply now or check out Shaadi.com to get the full story.

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.

Company: Mercer Description: We are seeking a talented individual to join our Career Services team at Mercer This role will be based in Mumbai This is a hybrid role that has a requirement of working at least three days a week in the office. Associate Director - Talent Strategy Consulting (Level F) We will count on you to: Lead delivery of complex projects across Talent and M&A solution areas: Workforce and Organization Transformation - Organisation Design and Structuring, Workforce Planning, Job Evaluation, New Shape of Work - Work Redesign, Flexible Working, Re/Upskilling, etc. Talent Management - Competency Framework, Career Architecture, Assessment and Development, Leadership Coaching, Performance Management System, etc Practice Development : Lead practice development and thought leadership by articulating project learnings and trends into white-papers/ PoVs Customize global tools/offerings for India market and present Mercers offerings and POVs in client seminars and industry events, etc. Business Development : Lead business development for allocated area through understanding clients requirements, leading proposals and solution development to drive profitable sales Build strong relationships with internal and external stakeholders and establish self as a trusted advisor to clients What you need to have: Full time MBA from a premier institute 10+ years of relevant work experience in HR function and proven track with reputed organization. Prior or current consulting experience is a must(Non Tech/Manufacturing/Automobile/Consumer/General Strong understanding of various areas in HR Excellent interpersonal and communication skills Dynamic, motivated, flexible and result-oriented personality with the ability to perform under pressure What makes you stand out: Excellent verbal and written communication skills, comfortable interfacing with business users Why join our team We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: MMC Corporate Description: Marsh McLennan is seeking candidates for the following position based in Mumbai This is a hybrid role that has a requirement of working at least three days a week in the office. Manager- Talent Acquisition What can you expect The Manager Talent Acquisition partners with the TA leader and Business leaders to execute hiring strategy for the organization. They coordinate with key stakeholders across business and functions to determine the hiring needs of various stakeholder groups and ensure the fulfilment plan is met in a time and cost sensitive environment. They will support IT / Non-IT recruitment roles and independently manage end-to-end hiring for the mandates shared with them. The ideal candidate will have a proven track record in recruitment, expertise in and the ability to build and maintain effective relationships with stakeholders. The role entails self -sourcing as we do not engage with hiring partners We will count on you for End to end recruitment Manage the end-to-end recruitment process, including sourcing, screening, interviewing, and selecting candidates. Leverage appropriate channels of sourcing with continuous focus on cost effective channels. Ensure mandates are addressed within the defined timelines Strive to improve efficiencies around operational metrics including Time to fill, quality of hires and discretionary spend Manage hiring for niche and specialized expertise Stakeholder Management TA Partner to business leaders/ managers. Understand and review the requirements and devise hiring strategies and thereby implementing the same Lead initiatives to enhance Stakeholder and candidate experience. Build and maintain adequate information / data that can help in assessing effectiveness / experience and other relevant recruitment matrices. Project Management & Market Intelligence Map all mandates using multiple / appropriate tools to have a better understanding of the available skill sets / talent in the market and Provide meaningful market data in support of client need. Act as a talent scout and share best practices to attract top talent. Stay updated on industry trends and best practices in recruitment and implement innovative strategies to attract and retain top talent . Metrics Reporting / Dashboard Leverage technology and explore new-age / best practices Ensuring that reporting and MIS are done correctly and on-time, prepare dashboards/presentations as per needs What you need to have: 7+ years of experience in end-to-end hiring Proven experience in utilizing various sourcing tools and platforms, including LinkedIn Recruiter, job boards, and social media. Strong understanding of recruitment metrics and the ability to analyze data to drive sourcing strategies. Excellent interpersonal skills, with the ability to build relationships with candidates and hiring managers. Strong organizational skills and the ability to manage multiple priorities in a fast-paced environment. Experience in a similar industry will be an added advantage Experience working with Workday CRM (Preferred) Solid experience in using job portals and social media to attract talent Experience in leveraging the AI features on the tools to source in an efficient manner (Preferred) Ability to manage robust real time MIS & power point presentations Ability to multitask and work under tight deadlines while maintaining consistent quality and adherence to process / policy Excellent verbal and written communication Good influencing skills What makes you stand out Exceptional communication skills Out of the box thinking Marsh McLennan (NYSEMMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the worlds most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Provides human resources (HR) support to GBS India employees. Using HR best practices, provides support to the HR Business Partner on typical employee relations/HR issues to transactional HR operations. Coordinates with Business supervisors and leads for their HR related concerns. Receives supervision on new aspects of assignments from the HR Business Partner. Use standard HR knowledge and techniques in specific situations. Coordinates with local stakeholders like people services, admin and TA for routine administrative tasks. Qualifications Bachelors degree in business administration or equivalent course. 3-4 years of relevant professional experience in HR. Excellent communications skills in both written and spoken English. Intermediate proficiency in MS Applications (Word, Excel, Outlook, PowerPoint). Experience working with various stakeholders for HR. Previous experience of working in an MNC in a role with global exposure is preferred. Experience working in Shared Services/GBS/GCC is preferred. Additional Information Ability to effectively communicate and collaborate with a varied audience and internal and external stakeholders. Ability to maintain good employee relationships with the ability to initiate ways to improve employee support and experience. Ability to be thorough and meticulous in completing assigned tasks. Ability to identify and resolve moderately complex issues by applying HR best practices. Ability to work in a fast-paced environment and maintain efficiency and productivity while adjusting to changes in work structure process, and requirements.

Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the worlds most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Global Process Ownership is key to improving the effectiveness and efficiency of processes across the enterprises global operations, in a consistent and standardized way, while still recognizing that there will be some necessary exceptions. This is achieved by creating a vision and end-to-end framework and through implementing and utilizing global measurements and metrics. Global Process Ownership helps in achieving process and policy standardization, which are implemented and enforced across the entire Enterprise. A Global Process Owner looks beyond day-to-day operations and has oversight over the entire process, whether managed by shared services, or upstream or downstream. Reporting to the Finance Operations Functional Lead, the AECOM Order-to-Cash (O2C) Global Process Owner is a key leadership role. Working with offshore centres, the role will ensure appropriate design of services, working with stakeholders across AECOM business lines and functions to ensure value creation, budget delivery, and alignment in expectations. This key position is fundamental to aligning working capital positions across AECOM. It has high visibility across both finance and operational leadership teams worldwide and as such will be required to interact with all levels of management in the business to drive new initiatives and relationships with regional finance directors and business line leadership. This role will take AECOM further up its maturity curve to create and deliver a world leading O2C function. Key responsibilities include: Refine the operating model and ensure that it includes vision/strategy, governance, service delivery framework and a global standard process Support operational business units in creating and adopting global best practice in working capital management on billing and collection activities Lead and improve process and technology design and enablement including, but not limited to, Artificial Intelligence / Robotics. Significant contributor to the development of the ABC billing and collections platforms. Improve integrity of the tower process and increase process reliability through improved cross functional alignment. Design and implement health metrics and KPIs to monitor the process and systems; map these against industry best practice. Improve management and control over the entire end to end process, removing redundant and focusing on added value activities Drive business transformation initiatives focused on improving the employee experience and standardization and automation of processes Drive a culture of constant improvement; Identify and implement initiatives in order in increase business-wide effectiveness and efficiency Enhance controls that maximize efficiency while keeping teams operationally compliant Collaborate with key stakeholders including but not limited to Geography CFOs Regional Working Capital Managers, Treasury, Operational and Client Managers, Project Managers, IT, Controls and Finance Working with key stakeholders to drive tangible financial improvement for the Enterprise to include, but not limited to, DSO reduction, Operating Cash Flow improvement and credit risk mitigation. Work with communication and change management teams to build effective plans when required. Key deliveries include: Work with Working Capital Managers to reduced global DSO. Implement policy and processes to detect, monitor and mitigate credit risk across the Enterprise. Ensure appropriate BCP programme is developed and implemented. Qualifications Skills/Experiences Bachelors degree in Accounting or related discipline; CPA required 10+ years of experience in a Shared Services or Global Business Services (GBS) environment, with exposure to multi-functional operations Proven background in Order-to-Cash (OTC) processes, including billing, collections, and cash applications Strong track record in end-to-end process management and driving operational efficiency across geographies Experience leading transformation projects, with focus on process improvement, standardization, and automation Solid financial and business acumen, with ability to interpret data and translate it into strategic actions Demonstrated ability to manage multiple priorities and deliver under pressure in fast-paced environments Skilled in stakeholder engagement, with the ability to influence and align cross-functional teams and leadership Strong project leadership and change management capabilities Excellent communication and interpersonal skills, with the ability to present clearly and persuasively Proven experience applying Continuous Improvement methodologies such as Lean, Six Sigma, or similar in a global environment Additional Information This role is open in multiple GBS locations - Philippines, India, Romania, and United States.

Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the worlds most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. We are seeking a Senior Talent Acquisition Specialist focused on the Middle East market to join our team in Bengaluru, India. In this role, you will be responsible for developing and implementing strategic recruitment initiatives to attract top talent for our Middle Eastern operations. Design and execute comprehensive recruitment strategies tailored to the Middle East region Manage full-cycle recruitment processes, from job posting to offer negotiation Collaborate with hiring managers to understand staffing needs and create effective job descriptions Utilize various sourcing channels, including job boards, social media, and professional networks Conduct initial candidate screenings and coordinate interview processes Implement employer branding initiatives to enhance our company's reputation in the Middle East Stay updated on Middle Eastern labour laws, market trends, and best practices in talent acquisition Mentor junior recruiters and contribute to the development of the talent acquisition team Develop and maintain strong working relationships with hiring managers, key stakeholders, community organisations, and other team members to create a partnership that yields success, predictable results and credibility Partner with hiring managers to establish recruitment strategies Create and foster relationships with industry organisations to attract and recruit candidates Organise, lead, and document post-interview debrief and feedback with interview teams and candidates Qualifications Minimum Requirements Bachelors degree in human resources, Business Administration, or related field 7+ years of experience in talent acquisition or recruitment, with a focus on the Middle East market Proven track record of successfully recruiting for diverse roles across multiple industries Strong understanding of Middle Eastern culture, business practices, and labor laws Proficiency in using Applicant Tracking Systems (ATS) and other recruitment technologies Excellent interviewing and talent assessment skills Strong analytical and reporting abilities Outstanding communication and interpersonal skills Ability to work in a fast-paced, dynamic environment and manage multiple priorities Additional Information

Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the worlds most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Summary Consultant(s) contributes to client deliverables and other strategic initiatives, under the guidance of Senior Consultants. They are responsible for conducting comprehensive research, performing in-depth analysis, and contributing to structured problem-solving. Consultants are expected to exhibit thought leadership by offering insights and innovative perspectives that enhance project outcomes. Key Responsibilities Support project structuring efforts, including the development of frameworks and delivery models. Prepare detailed project plans, research frameworks, and execution roadmaps. Conduct data collection, validation, analysis, and evaluation using both primary and secondary sources. Develop high-quality outputs such as analytical reports, presentations, and financial models tailored to client needs. Qualifications Minimum Qualification and Experience 0"“2 years of relevant post-MBA work experience; preference for graduates from premier institutions such as IIM A/B/C/L/K/I, ISB, or XLRI Strong academic track record with a focus on analytical and problem-solving capabilities Demonstrated proficiency in building and interpreting financial models Excellent communication and interpersonal skills, with the ability to engage effectively across client and internal stakeholder groups Additional Information

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.

To have knowledge and expertise in WM/EWM areas for at least 6+ Years (Excluding Other experiences, +8 years preferred ). Should have experience in SAP EWM module Skills. Required Candidate profile Desired Skills:SAP EWM, SAP WM. at least one end to end SAP EWM Implementation Experience.

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.

Join our team! We are currently hiring for the role of Client Servicing Professional a t Naukri Campus (formerly Firstnaukri.com) If you are ready to make an impact in the fresher hiring space, this is your chance. If you are interested, Share your resume at vrinda.gupta@naukri.com About Us: Naukri Campus is a distinguished fresher hiring platform that connects employers with prospective entry-level candidates, streamlining the job search process for recent graduates. Naukri Campus https://www.naukri.com/campus Key Responsibilities: Supervise a team and help them in achieving goals and drive productivity . Lead hiring initiatives with stakeholders, aligning with their requirements. Promote product adoption by organizing demos, training sessions, and usage monitoring. Proactively identify opportunities to enhance recruitment processes and deliver measurable outcomes. Build strong client relationships by understanding their needs, addressing challenges, and suggesting innovative solutions that benefit their hiring goals. Encourage client engagement by coordinating product usage and demos. Develop engagement programs with campuses and create client case studies. Identify process improvements and streamline recruitment activities. Support on-campus recruitment drives and assessments. Oversee end-to-end fresher hiring campaigns and maintain MIS for drives. Desired Candidate Profile: MBA with at least 1-3 year of experience in recruitment, client service, or campus hiring. Familiarity with online recruitment platforms and MIS management in Excel. Strong communication skills and willingness to travel for campus drives PLEASE NOTE - 1- Team handling experience is required for role. 2- Experience in customer service/Sales and marketing will be an added advantage. 3- Excellent communication skills and basic excel knowledge. 4- Office location will be Mumbai Andheri. Work Location - Info Edge India Ltd, 9th Floor, RSquare for Runwal Reality, JB Nagar, Andheri East. Schedule: 5 days a week (One Saturday work from home working mandatory) Office Timing: 9:30 AM - 6:30 PM About Info Edge InfoEdges mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. Connect With VRINDA GUPTA for more insights Email - vrinda.gupta@naukri.com LinkedIn - https://www.linkedin.com/in/vriiindaa/

Description External Job Description DESIGN EXECUTIVE N- COLOUR IDEA STORE - Hyderabad, Asian Paints Limited Sales & Marketing - CI JOB DESCRIPTION DESIGN EXECUTIVE - COLOUR IDEA STORE Experience: 1 to 3 years Location: Hyderabad will be travelling in Telangana and Andhra Pradesh Qualification : Bachelors degree in Design, Architecture or a related field Key Responsibilities: 1 Drive sales in the wallcoverings and other focused categories across regions by coordinating with the field teams 2 Enable support to the filed teams basis feedback received from market visits 3 Taking training sessions of the field teams on colour trends, wallcoverings, customer pitch at a regular interval 4 Analyze data and share reports on key metrices being driven to the larger teams on a periodic basis 5 Understand and implement the best practices being followed by other players to make the category relevant 6 Visit the market to meet the dealers/customers/team members regularly to understand pain points and implement solutions accordingly

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.

Key Responsibilities Data Management & Governance Ensure accuracy, consistency, and completeness of product data across systems like PDM/PIM, ERP, PLM, CAD/BOM Maintain metadata: part numbers, descriptions, suppliers, BOM, and engineering specs Implement and enforce data quality rules and governance policies; conduct cleansing and validation activities New Product Introduction (NPI) & Maintenance Manage product master data entries, updates, and lifecycle including new products, changes, and obsolescence Collaborate with internal teams to ensure digital completeness in systems like SAP, Salsify, PIM tools, etc. Reporting & Analytics Generate dashboards, reports, and insights using tools like Excel, Tableau, Power BI Monitor KPIs and metrics tied to product data accuracy, governance, and syndication performance Process Improvement & Support Identify and drive improvements in PDM/PIM data processes and workflows Document SOPs, data collection methods, and onboarding procedures for stakeholders and systems Crossfunctional Collaboration Coordinate with product management, marketing, sales, IT, and engineering teams to meet data needs and compliance requirements Serve as subject-matter expert and respond to both internal and external data queries or escalations

Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Work closely with clients to understand their needs and provide tailored solutions. Stay up-to-date with industry trends and best practices to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficient in using various tools and technologies, including data modeling and reporting software. Strong communication and interpersonal skills, with the ability to work effectively with clients and stakeholders. Ability to work in a fast-paced environment and meet deadlines. Strong attention to detail and organizational skills, with the ability to prioritize tasks and manage multiple projects simultaneously.

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview At TE Connectivity, our People Analytics organization is a strategic partner to the business, leveraging data and analytics to drive informed decision-making across the employee lifecycle. Our team transforms workforce data into actionable insights that support talent strategy, organizational effectiveness, and employee experience. We collaborate closely with HR and business leaders to understand their challenges and opportunities, delivering innovative analytics solutions tailored to their needs. By fostering a data-driven culture and utilizing advanced tools and methodologies, People Analytics plays a critical role in shaping the future of work at TE. Job Responsibilities: Consulting Act as a point of contact to an internal HR organization. Proactively recommend data-driven solutions to support stakeholder challenges. Understand stakeholder questions, business context, and functional needs. Scope, Prioritize and Capture clear statements of work. Ad-hoc Insights Deliver timely insights to answer business questions. Promote and educate stakeholders on self-service tools. Identify opportunities to improve ad-hoc insight delivery. Prototype Translate requirements into prototypes to clarify design and intent. Iterate collaboratively with stakeholders before scaling solutions. Partner with teammates to deliver standard insights tools. Reporting & Story Telling Create visually compelling and logical insights. Design with usability in mind. Simplify complexity into clear, actionable information. Technical / User Support Provide break-fix support and reduce incident frequency. Drive adoption through coaching and enablement. Collaborate with enablement teams to develop support content Technology/Process Stay curious and passionate about new analytics tools and methods. Test, demo, and provide feedback on the analytics tech stack. Desired Candidate Profile: 5+ years of prior experience working in People Analytics Advanced proficiency in MS Excel, Tableau and SQL. Skilled in data storytelling and visualization for executive audiences. Familiarity with predictive analytics, machine learning, and AI-driven insights. Experience with HCM systems (SAP SuccessFactors preferred; Workday or similar). Exposure to modern data platforms (AWS, Redshift, Databricks) and data governance practices. Proven ability to influence and engage with senior stakeholders (VP and Director levels). Strong organizational and program management capabilities. Effective communicator across diverse, global teams. Experience in HR analytics projects related to different HR processed and employee lifecycle (HR Services, engagement, succession, total rewards, talent acquisition, etc) Experience managing HR projects across the employee lifecycle. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.