532 Data Manipulation Jobs - Page 6

At PwC, our team in audit and assurance focuses on conducting independent and objective assessments of financial statements, internal controls, and other assurable information to enhance credibility and reliability with various stakeholders. We evaluate compliance with regulations, assess governance and risk management processes, and related controls. In the financial statement audit at PwC, the primary focus is on obtaining reasonable assurance about the absence of material misstatement in the financial statements due to fraud or error and issuing an auditor's report containing the auditor's opinion. As an Associate (FTH/Contractual) at PwC, you will collaborate with a team of problem solvers to address complex business issues from strategy to execution. Your responsibilities at this management level include: - Being curious and open to trying new approaches. - Understanding how PwC operates as a business and delivers value to clients. - Thinking broadly and asking insightful questions about data and facts. - Supporting research, analysis, and problem-solving using various tools and techniques. - Producing high-quality work that aligns with relevant professional standards. - Keeping abreast of technical developments in your area of specialization. - Handling, manipulating, and analyzing data and information responsibly. - Communicating confidently in a clear, concise, and articulate manner both verbally and in written materials. - Embracing diverse perspectives and being open to opposing ideas. - Adhering to the firm's code of ethics and business conduct. In the role of an Associate at PwC, your responsibilities will involve playing a crucial part in the core assurance services offered to clients. You will need to understand the workflow process related to work requests, manage workflow within the firm's tool, and document work results optimally. Additionally, you will participate in various projects, collaborating across different teams, showcasing creative thinking, individual initiative, and timely completion of assigned tasks. As an Associate (FTH/Contractual) in PwC's core audit services, your duties will include: - Supporting specific phases of financial statement audits. - Assisting in select projects, demonstrating creativity and initiative while fostering strong relationships within the team. - Seeking guidance, clarification, and feedback proactively. - Prioritizing and completing tasks with flexibility while maintaining professional skepticism. Basic Qualifications: - Minimum Degree Required: B.Com Full-time + CA Inter (Articleship completion experience required) - Minimum Years of Experience: 0-6 years - Locations: Kolkata/Bangalore/Hyderabad,

You will be responsible for supporting the Monitoring team by retrieving, validating, and analyzing sensor data for various structural and environmental monitoring projects. Your role will involve producing clear graphical outputs and reports using tools like Microsoft Excel. You will collaborate closely with the Monitoring Operations Manager and project teams to ensure data accuracy, system integrity, and timely delivery in alignment with client and contractual requirements. Your key responsibilities will include retrieving and processing sensor data, performing data validation checks, analyzing data using Microsoft Excel, and ensuring the timely and accurate delivery of reports. You will also be expected to maintain high standards of data quality, collaborate with field teams for accurate data collection, and proactively identify opportunities to enhance systems and processes. In terms of qualifications, you should have a Bachelor's degree in Civil Engineering, Environmental Engineering, or a related field. Strong data analysis skills, particularly in Microsoft Excel, are essential. You should also have a good understanding of structural health monitoring systems and sensor technologies, along with excellent communication skills in English. Being highly organized, detail-oriented, and capable of working independently is crucial for this role. Desirable qualifications include prior experience working with multinational organizations, proficiency in data visualization tools like Power BI or Tableau, familiarity with SHM software platforms, and experience in developing or improving operational systems for data reporting. Experience in safety-critical or infrastructure projects would also be beneficial. As a member of the team at Plowman Craven, a leader in Geospatial Technologies, you will contribute to providing accurate data and insights that drive smarter decision-making and improve project efficiency. The company is dedicated to fostering a diverse and inclusive workplace, and accommodations can be made during the recruitment process if needed.,

At EY, you will be part of a globally connected powerhouse of diverse teams that aim to shape your future with confidence. Join EY to contribute to building a better working world by applying your skills as an Advanced Analyst. Your primary role will involve analyzing information to ensure the accuracy of deliverables and assisting Team Leads/Assistant Managers in managing client relationships. As an Advanced Analyst at EY, you will play a crucial role in helping clients meet their business objectives by producing high-quality work and advice. Your key responsibilities will include serving as the main point of contact for your engagement, monitoring and allocating work to the team, conducting quality reviews of deliverables, ensuring adherence to SLA's, and collaborating with different work streams as required. You will also be responsible for coaching team members, delegating work effectively, and proactively seeking tasks to meet annual goals. To succeed in this role, you must be proficient in MS Office applications, have clear verbal and written communication skills, be detail-oriented, and possess strong organizational and deadline-focused abilities. Additionally, prior experience in project management and knowledge of foreign languages or certification courses in operation management or client management will be advantageous. EY Global Delivery Services (GDS) offers a dynamic and global delivery network where you will have the opportunity to work on exciting projects with teams from various service lines and geographies. You will be part of a diverse and inclusive culture that values continuous learning, transformative leadership, and success defined by individual impact. Join EY in shaping a better working world by leveraging data, AI, and advanced technology to address the pressing issues of today and tomorrow. Be part of a globally connected network that provides services in more than 150 countries and territories, offering fulfilling career opportunities across all business disciplines.,

You will be responsible for managing and resolving incoming support tickets, triaging issues, and establishing sustainable relationships with customers through effective communication. Your key responsibilities will include: Ticket Management: - Utilizing software configuration, reporting, and database queries to manage and resolve support tickets. - Categorizing issues based on guidelines and rules. Customer Satisfaction: - Identifying and addressing customer needs to ensure satisfaction. - Building trust through open and interactive communication. Technical Support: - Troubleshooting API issues and assisting customers with requests. - Supporting virtual customer training sessions and webinars. Collaboration: - Working with internal teams to meet customer ticket resolution timelines. - Participating in customer ticket prioritization meetings. Documentation and Knowledge Management: - Providing accurate information using appropriate methods and tools. - Recording customer interactions and assisting with knowledge base article documentation. Skill Set Requirements: - Minimum 1 year of experience in a B2B technical support role. - Preferred educational backgrounds include BCOM, BBA, BA, and MBA. - Proficiency in clear and concise writing, communication, and English language skills. - Strong sense of ownership, adaptability, and familiarity with bug tracking and ticket management software. - Proficiency in Excel, data manipulation, SQL, and database practices. - Excellent communication, customer service, troubleshooting, problem-solving, and analytical skills. - Experience with ticket management systems, software configuration, and building customer relationships. Other Requirements: - Location in Delhi NCR. - Ability to work in various shifts, including UK, EST, and PST time zones. Best of luck with your application!,

Roles and Responsibilities: Responsible for monitoring transactions and system health for Razorpays top merchants as well as the entire organization and alert relevant stakeholders whenever there is an issue with the system. Send communication and alerts during cases of incidents or anomalies in the system Collaborate with Internal teams as in when required Analyze the trends in the data and figure out trends and inferences Create Interactive dashboards for internal monitoring and metric consumption Required Qualifications Ability to work with large data Hands on experience with BI Tools if any and Data manipulation Knowledge of SQL is required Strong communication skills Ability to work 24/7 in shifts

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : standard 15 years experience Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Your role will also include monitoring data workflows and troubleshooting any issues that arise, ensuring that data is accessible and reliable for stakeholders. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and optimize data pipelines to enhance data processing efficiency.- Collaborate with data scientists and analysts to understand data needs and provide necessary support. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A standard 15 years experience is required. Qualification standard 15 years experience

At PwC, our focus in data and analytics is on leveraging data to drive insights and make informed business decisions. We utilize advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. In the realm of data analysis at PwC, you will primarily be tasked with utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to support clients in resolving complex business problems. In this position, you will be expected to build meaningful client connections and learn how to effectively manage and inspire others. By navigating increasingly complex situations, you will have the opportunity to grow your personal brand, deepen technical expertise, and enhance awareness of your strengths. Anticipating the needs of both your teams and clients and delivering quality results will be a key aspect of your responsibilities. Embracing ambiguity will be essential, as you will need to be comfortable when the path forward is unclear, ask pertinent questions, and view these moments as opportunities for personal growth. Examples of the skills, knowledge, and experiences required to lead and deliver value at this level include but are not limited to: - Responding effectively to diverse perspectives, needs, and feelings of others. - Using a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Employing critical thinking to break down complex concepts. - Understanding the broader objectives of your project or role and how your work aligns with the overall strategy. - Developing a deeper understanding of the business context and its evolving nature. - Using reflection to enhance self-awareness, strengthen strengths, and address development areas. - Interpreting data to derive insights and make recommendations. - Upholding and reinforcing professional and technical standards, such as specific PwC tax and audit guidance, the Firm's code of conduct, and independence requirements. As a Senior Associate, you will work as part of a team of problem solvers, contributing to the resolution of complex business issues from strategy to execution. Responsibilities at this management level include but are not limited to: - Developing self-awareness and personal strengths through feedback and reflection. - Delegating tasks to others to provide growth opportunities and coaching for delivering results. - Demonstrating critical thinking and the ability to organize unstructured problems. - Utilizing a wide range of tools and techniques to extract insights from current industry or sector trends. - Reviewing your work and that of others for quality, accuracy, and relevance. - Knowing how and when to use appropriate tools for a given situation and being able to explain the rationale behind the choice. - Seeking and embracing opportunities for exposure to different situations, environments, and perspectives. - Communicating straightforwardly and in a structured manner when influencing and connecting with others. - Adapting behavior to build quality relationships by reading situations and modifying approach accordingly. - Adhering to the firm's code of ethics and business conduct. In addition to the core responsibilities, a career in Treasury Risk Analytics within Risk & Regulatory Advisory will involve advising financial institutions on strategies to optimize financial performance and risk management across various financial risks. This includes designing and implementing strategies to address market challenges like low interest rates, LIBOR transition programs, competition from non-banks, and cost pressures.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique role offers you the chance to work with our team, collaborating with the Business to provide a comprehensive perspective. This role is a Quant Profile that supports the activities of the Quantitative Research Group across asset classes and Custody & Fund Services globally, based in Mumbai. The Quantitative Research team in Mumbai plays a vital role in delivering effective, timely, and independent assessments of the Firm's booking models for exotic structures and assists in developing new models as needed. As a Quantitative Research Associate/Vice President in the Quantitative Research Group, you will collaborate with the Business to offer a comprehensive view and support the activities of the Quantitative Research Group across asset classes globally. Your responsibilities will include delivering effective, timely, and independent assessments of the Firm's booking models for exotic structures, as well as contributing to the development of new models. You will be part of a team that is revolutionizing business practices through data science and other quantitative methods, with JP Morgan being a key player managing trillions of dollars of client assets. **Job Responsibilities:** - Perform large-scale analysis on our proprietary dataset to solve unprecedented problems. - Identify new insights that drive feature modeling for nuanced insights. - Develop models from prototype to full-scale production. - Provide real-world, commercial recommendations through effective stakeholder presentations. - Utilize data visualization to communicate data insights and results. - Document and test new/existing models in collaboration with control groups. - Implement models in Python-based proprietary libraries. - Provide ongoing desk support. **Required Qualifications, Capabilities & Skills:** - A master's or Ph.D. degree in computer science, statistics, operations research, or other quantitative fields. - Strong technical skills in data manipulation, extraction, and analysis. - Fundamental understanding of statistics, optimization, and machine learning methodologies. - Experience in developing models on cloud infrastructure. - Proficiency in utilizing LLM models for advanced model development and enhancement. - Knowledge of financial instruments and pricing. - Mastery of software design principles and development skills in languages such as C++, Python, R, Java, or Scala. - Previous practical experience in solving machine learning problems using open-source packages. - Strong communication skills (verbal and written) with the ability to present findings to a non-technical audience. **Preferred Qualifications, Capabilities & Skills:** - Participation in KDD/Kaggle competitions or contribution to GitHub is highly desirable.,

At PwC, our data and analytics team focuses on utilizing data to drive insights and support informed business decisions. We leverage advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. As a data analysis professional at PwC, your role will involve utilizing advanced analytical methods to extract insights from large datasets, enabling data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will be pivotal in helping clients solve complex business challenges. PwC US - Acceleration Center is currently seeking a highly skilled MLOps/LLMOps Engineer to play a critical role in deploying, scaling, and maintaining Generative AI models. This position requires close collaboration with data scientists, ML/GenAI engineers, and DevOps teams to ensure the seamless integration and operation of GenAI models within production environments at PwC and for our clients. The ideal candidate will possess a strong background in MLOps practices and a keen interest in Generative AI technologies. With a preference for candidates with 4+ years of hands-on experience, core qualifications for this role include: - 3+ years of experience developing and deploying AI models in production environments, alongside 1 year of working on proofs of concept and prototypes. - Proficiency in software development, including building and maintaining scalable, distributed systems. - Strong programming skills in languages such as Python and familiarity with ML frameworks like TensorFlow and PyTorch. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Understanding of cloud platforms such as AWS, GCP, and Azure, including their ML/AI service offerings. - Experience with continuous integration and delivery tools like Jenkins, GitLab CI/CD, or CircleCI. - Familiarity with infrastructure as code tools like Terraform or CloudFormation. Key Responsibilities: - Develop and implement MLOps strategies tailored for Generative AI models to ensure robustness, scalability, and reliability. - Design and manage CI/CD pipelines specialized for ML workflows, including deploying generative models like GANs, VAEs, and Transformers. - Monitor and optimize AI model performance in production, utilizing tools for continuous validation, retraining, and A/B testing. - Collaborate with data scientists and ML researchers to translate model requirements into scalable operational frameworks. - Implement best practices for version control, containerization, and orchestration using industry-standard tools. - Ensure compliance with data privacy regulations and company policies during model deployment. - Troubleshoot and resolve issues related to ML model serving, data anomalies, and infrastructure performance. - Stay updated with the latest MLOps and Generative AI developments to enhance AI capabilities. Project Delivery: - Design and implement scalable deployment pipelines for ML/GenAI models to transition them from development to production environments. - Oversee the setup of cloud infrastructure and automated data ingestion pipelines to meet GenAI workload requirements. - Create detailed documentation for deployment pipelines, monitoring setups, and operational procedures. Client Engagement: - Collaborate with clients to understand their business needs and design ML/LLMOps solutions. - Present technical approaches and results to technical and non-technical stakeholders. - Conduct training sessions and workshops for client teams. - Create comprehensive documentation and user guides for clients. Innovation And Knowledge Sharing: - Stay updated with the latest trends in MLOps/LLMOps and Generative AI. - Develop internal tools and frameworks to accelerate model development and deployment. - Mentor junior team members and contribute to technical publications. Professional And Educational Background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

As a Senior Associate in the Deals Strategy Acceleration Center at PwC, you will play a crucial role in leveraging data and analytics to drive insights and support clients in making informed business decisions. Your focus will be on utilizing advanced analytical techniques to extract valuable insights from large datasets, enabling data-driven decision-making. By applying skills in data manipulation, visualization, and statistical modeling, you will help clients optimize their operations and achieve strategic goals. In this role, you will be tasked with building meaningful client relationships, managing and inspiring others, and navigating complex situations to grow both personally and professionally. You are expected to anticipate the needs of your teams and clients, deliver quality work, and embrace ambiguity by seeking opportunities for growth in unclear situations. Your responsibilities will include creating and reviewing delivery modules, participating in onboarding and training programs, driving day-to-day deliverables by assisting in work-planning and problem-solving, contributing to the development of technical and business acumen within your team, and engaging closely with US DS teams to support client engagements. Additionally, you will demonstrate critical thinking, delegate tasks to provide growth opportunities, and uphold the firm's code of ethics and business conduct. Desired experience and skills for this role include 4 to 7 years of industry experience with a focus on service delivery, proficiency in data visualization tools such as Tableau/Power BI and Excel/Google Charts, the ability to work on multiple projects under strict timelines both independently and in a team environment, and experience in conducting primary and secondary research, analysis of complex data, and creating client-ready deliverables. Soft skills such as effective communication, strong work ethic, strategic thinking, and problem-solving abilities are highly valued. A strong educational background, preferably an MBA from premier B-Schools, along with analytical ability and leadership skills, is desired for this position. In addition to the specific responsibilities and skills required, you will be expected to contribute to practice enablement and business development activities. This full-time role may involve varying work hours for specific projects, and while travel requirements are not applicable, prior experience in consulting or exposure to a multinational environment is preferred.,

Bachelor s degree in computer science, engineering, or a related field, or equivalent practical experience with at least 8-10 years of combined experience as a Python and MLOps Engineer or similar roles Strong programming skills in Python Proficiency with AWS and/or Azure cloud platforms, including services such as EC2, S3, Lambda, SageMaker, Azure ML, etc Solid understanding of API programming and integration Hands-on experience with CI/CD pipelines, version control systems (eg, git), and code repositories Knowledge of containerization using Docker, Kubernetes and orchestration tools Proficiency in creating data visualizations specifically for graphs and networks using tools like Matplotlib, Seaborn, or Plotly Understanding of data manipulation and analysis using libraries such as Pandas and NumP0079 Problem-solving, analytical expertise, and troubleshooting abilities with attention to details Demonstrates VACC (Visionary, Catalyst, Architect, Coach) leadership behaviors:Good self-awareness as we'll as system awareness Pro-actively asks for and gives feedback Strives to demonstrate strategic thinking as we'll as good business and external trends insights Focuses on outcomes defines and deliver highest pipeline, team, talent, and organizational impact outcomes

Job Description Job Purpose: Responsible for data collection, analysis and support Enablement team to design and produce reports for internal and external stakeholders on a regular and adhoc basis. Support month end activities for enablement functions and other specifically assigned by management as appropriate. Key Accountabilities: Generic Accountability Provide guidance and on the job training for junior colleagues and conduct knowledge sharing to facilitate achievement of team objectives and completion of tasks in a timely and efficient manner Promote the organization s core values and ethics in all activities within the team & wider organization to support the establishment of a value driven culture within the bank. Continuous Improvement Participate in the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction. Reporting Prepare sectional statements and reports timely and accurately to meet Business and/or department requirements, policies and quality standards. Job Specific Accountabilities Produce reports that would support the cost movements in general and administrative (G&A) expenses; gather data from multiple departments and systems, provide insight & analysis by preparing customized reports Ensure reports are generated and completed on timely basis Send monthly enablement cost packs such as but not limited to the following: Group cost, Head Office and Enablement flash reports One-time expenditures or cost initiatives Cost savings driven by various LOBs Periodic variance cost analysis Other relevant cost packs Provide cover for other members of the team when required Qualifications Minimum Qualification Must have bachelor s degree. Desirable: - Chartered Accountant/ master s in business administration (MBA) or any other relevant finance degree or diploma. Excellent Data manipulation skills in Advanced Excel Microsoft Office skills (Excel, Word, Outlook) Minimum Experience 5 years relevant experience in similar function

About the Role: Grade Level (for internal use): 09 : * Develop and execute test plans, test cases, and test scripts to ensure thorough coverage of software functionalities, including functional, regression, integration, and performance testing. * Collaborate with cross-functional teams, including developers, product managers, and business analysts, to understand requirements, identify test scenarios, and ensure alignment with business objectives. * Utilize strong technical expertise in automation tools and technologies to design, develop, and maintain automated test suites for continuous integration and deployment pipelines. * Proficient in performing manual testing of command line application, web-based and API-based applications with focus on complex scenarios and edge cases, to ensure comprehensive test coverage. * Analyse and troubleshoot issues, defects, and discrepancies, documenting and tracking them to resolution using issue tracking systems. * Provide technical support and guidance to stakeholders regarding QA processes, tools, and methodologies. * Stay updated on industry trends like AI and emerging technologies and incorporating relevant knowledge into QA practices. * Develop and maintain SQL queries for data validation and verification. Qualifications: * Bachelors degree in computer science, Engineering, or related field. * Strong knowledge of SDLC and STLC. * Strong technical proficiency in automation tools and technologies such as Java, Selenium, JUnit, TestNG, Cucumber etc. * In-depth knowledge of SQL for data manipulation, querying, and validation. * Experience with API-based testing tools such as Postman and Bruno. * Experience with Linux operating systems command-line tools. * Experience with python programming language. * Experience on AWS services and AWS console. * Excellent analytical and problem-solving skills, with a keen attention to detail. * Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. * Experience in supporting test strategy activities, particularly in the integration of multiple applications and systems. * Demonstrated skill to proactively resolve issues and escalate appropriately. * Experience testing web-based and API-based systems for user experience issues. * Experience with Agile methodologies and CI/CD pipelines. * Experience with Financial Domain is preferred. * Experience with Index/Benchmarks or Asset Management or Portfolio Investment modelling. About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. Were the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSESPGI). S&P Global is the worlds foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the worlds leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/spdji . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----

About the Role: Grade Level (for internal use): 10 The Team: Join the TeraHelix team within S&P Globals Enterprise Data Organisation (EDO). We are a dynamic group of highly skilled engineers dedicated to building innovative data solutions that empower businesses. Our team works collaboratively on foundational data products, leveraging cutting-edge technologies to solve real-world client challenges. The Impact: As part of the TeraHelix team, you will contribute to the development of our marquee AI-enabled data products, including TeraHelix's GearBox, ETL Mapper and Data Studio solutions. Your work will directly impact our clients by enhancing their data capabilities and driving significant business value. Whats in it for you: Opportunity to work on a distributed, cloud-native, fully Java tech stack (Java 21+) with UI components built in the Vaadin framework. Engage in skill-building and innovation opportunities in a supportive environment. Collaborate with a diverse group of professionals across data, product, and technology disciplines. Contribute to projects that have a tangible impact on the organisation and the industry. Key Responsibilities: Design, develop and maintain robust data pipelines to support data ingestion, transformation and storage. Write efficient SQL queries for data extraction, manipulation and analysis. Utilise Apache Spark & Python for data processing, automation and integration with various data sources. Collaborate with data scientists and stakeholders to understand data requirements and deliver actionable insights. Implement data quality checks and validation processes to ensure data accuracy and reliability. Analyse large datasets to identify trends, patterns and anomalies that inform business decisions. Create and maintain documentation for data processes, workflows and architecture. Stay updated on industry best practices and emerging technologies in data engineering and analysis. Provide support using data visualisation tools to help stakeholders interpret data effectively. What were looking for: Bachelors degree or higher in Computer Science or a related field. Strong experience in SQL for data manipulation and analysis. Proficiency in Spark (Java, SQL or PySpark) and Python for data processing and automation tasks. Solid understanding of data engineering principles and best practices. Experience with data analytics and the ability to derive insights from complex datasets. Familiarity with big data technologies (e.g. Hadoop, Spark) and cloud data platforms (e.g. AWS, Azure, GCP). Familiarity with data visualisation tools (e.g. Power BI, Tableau, Qlik) and Data Science Notebooks (e.g. Jupyter, Apache Zeppelin) to present findings effectively. Knowledge of financial or capital markets to understand business domain requirements. Excellent problem-solving skills and attention to detail. Strong communication skills for collaboration with cross-functional teams. Nice to have: Experience with Java for data processing or integration tasks. Knowledge of ETL (Extract, Transform, Load) processes and tools. Understanding of data warehousing concepts and architecture. Experience with version control systems (e.g. Git, GitHub, Bitbucket, Azure DevOps). Interest in machine learning and data science concepts. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning)

Overview The person will be will be playing an active role in the BI Enablers Team as part of the Global - Europe Business Intelligence Center of Excellence. The person should have very strong Business Intelligence skills and will play a critical role in executing key transformations of Global PPD. Driving simplification, standardization and self service capabilities agenda along with enhancing the platform by driving key initiatives that will further drive the adoption of the platform. The person should be able to translate the business requirements into accurate IT/platform development plans and will manage platform development accordingly. Provide leadership and review work done by team member/s Alongside of this, the person will be the owner of the Multi-Sources reporting expansion (Household panel, Product preference, Brand preference). Expect some strong data manipulation on excel, Tableau & PowerBI and heavy usage of Nielsen Retail Panel and Kantar/GFK/Ipsos Household Panel Responsibilities Own and be accountable for the continuous PPD transformation and development effortsDesign reporting and business intelligence products including visualizations & self-service tools. Manage project delivery, including estimating timelines and identifying risks Collaborate with stakholders to get clarity on development briefs Proceed with the platform development alongside and in collaboration with the Global BI GBS Team Present products to business users and seek feedback for continued improvement Make data meaningful using advanced visualization techniques to provide actionable insights and intuitive dashboards to a broad spectrum of stakeholders to accelerate decision making. Develop quick designs for data visualization and work iteratively to make them deliver the data and insights useful for data driven decisions Expand PPD beyond Nielsen Retail Panel source with more multi-sources reports to drive more holistic and 360 performances reviews and assessments Maintain documentation and user guides for created products Follow the formal processes for Incidents, Change Requests, Deployments and Service Requests Troubleshoot complex issues and provide root cause analysis and recommendations for permanent solutions Identify ways to improve data reliability, efficiency, and quality. Identify bottlenecks and bugs, and devise solutions to these problems. Ensure the processes are documented. Work in an agile environment with the scrum team, participating actively in daily scrum and sprint planning to service the needs of the Business teams by delivering solutions. Maintain strong collaboration & relationship across the board - Global BI Development team, Business teams, IT, Data Modeling and Architecture teams Qualifications BTech/B.E./MCA from reputed institutes 5+ years of experience with Analytics and developing BI solutions Expertise in Tableau and PowerBI Expert on Point of Sale (Nielsen, IRI, SPINs, One Click Retail etc.) databases/metrics a must Experience in performance tuning (pushdown logic, calculated columns and measures, data loading strategies, filtering data, variables) Experience in User-centered design, wireframing, knowledge of the data visualization concepts, Development of visualizations and interactivity depending on the context and overall focus on aesthetics Structured thinker / problem solver who works independently with attention to detail Good knowledge of handling databases and proficiency in SQL and Python Excellent communication & presentation skills (verbal & written) is mandatory. Confident communicator, able to express ideas and convey complicated concepts simply Experience working in an Agile team Must be detail oriented with excellent organizational/time management skills Top tier business intelligence / reporting / visualization skills Complete understanding of BI reporting platforms Comfortable with syndicated data analytics (especially Retail Panel) Solution-oriented approach to problem solving Strong analytical thinking with proven ability to connect data & to digestible representations to generate insights Experience in Change Management and Transformation journey of platforms will be an advantage Growth mindset, positive attitude & strong interest in solving client challenges and dealing with multiple issues Working in a fast moving, rapidly changing and dynamic environment

Skills Data Visualization Statistical Analysis SAS Programming Machine Learning Data Mining Dashboard Development Big Data Analytics Predictive Modeling Job Overview The ideal candidate will have a maximum of 6 years of relevant work experience and will be proficient in data visualization SAS programming and dashboard development Qualifications And Skills Proficiency in data visualization techniques to present complex data in an understandable manner Mandatory skill Strong expertise in SAS programming for data manipulation and analysis Mandatory skill Experience in developing interactive dashboards using SAS Visual Analytics Mandatory skill Ability to conduct statistical analysis for finding trends and patterns in datasets Knowledge in machine learning algorithms and their real world applications Familiarity with data mining processes to extract valuable insights from large data sets Understanding of big data analytics to handle and analyze large volumes of data Skills in predictive modeling to forecast future data points and behaviors Roles And Responsibilities Develop and maintain SAS Visual Analytics dashboards to support business operations and decision making Collaborate with cross functional teams to understand data needs and provide actionable insights Ensure data accuracy and integrity through thorough testing and validation Implement statistical analysis and predictive modeling to derive meaningful business insights Utilize machine learning techniques to automate data analysis processes Participate in the continuous improvement of data analytics practices and methodologies Assist in troubleshooting and resolving any issues related to data visualization and SAS programming Stay updated with the latest trends and advancements in SAS technologies and data analytics

Embark on a transformative journey as a Vice President Hedge Accounting Transformation and help turn challenges into opportunities by designing and delivering systemic solutions to the accounting specialism of Hedge Accounting. You will be responsible for expanding the existing product offering under IAS39, considering accounting legislation in different jurisdictions, and exploring the longer-term adoption of IFRS9 and Dynamic Risk Management. This exciting opportunity involves building a brand-new platform using strategic architecture and data to ensure that the required transformation outcomes align with finance architecture strategy, drive standardization, operational efficiency, and future state design principles and business requirements. To excel in this role, you must have a demonstrable track record of operating at a senior level within a Financial Institution, ideally focusing on Finance Transformation and working on relevant projects. Your knowledge should encompass various financial instruments, including interest rate derivatives, along with experience in Finance processes, systems, and technologies. Effective leadership and communication skills are essential, including the ability to influence and negotiate with a broad set of stakeholders. Additionally, you should have a solid understanding of data principles, data modeling, data design, strong data manipulation skills, and excellent PowerPoint skills for creating impactful presentations. Desirable additional skills include experience in Finance Transformation programs, project management techniques, process management skills such as Lean and Six Sigma, a background or knowledge in Treasury, Hedge Accounting, or Product Control, and a professional Accounting qualification. A continuous learning mindset, analytical reasoning, and problem-solving abilities are also valued in this role. As a Vice President, you will be expected to contribute to setting strategy, driving requirements, making recommendations for change, planning resources and budgets, managing policies and processes, delivering continuous improvements, and escalating breaches of policies and procedures. If you have leadership responsibilities, you are required to demonstrate leadership behaviors focusing on listening, inspiring, aligning, and developing others. For individual contributors, being a subject matter expert within your discipline, guiding technical direction, leading collaborative assignments, and coaching less experienced specialists are key expectations. You will advise key stakeholders, manage and mitigate risks, demonstrate leadership in managing risk and strengthening controls, show a comprehensive understanding of organizational functions, collaborate with other areas of work, and create solutions based on sophisticated analytical thought. Building and maintaining trusting relationships with internal and external stakeholders, using influencing and negotiating skills to achieve business objectives, is also crucial. All colleagues are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive. Join us in making a positive impact through your leadership, expertise, and dedication in driving financial transformation at our Noida office.,

As a valued member of our team, you will enjoy the following benefits that make Ryan a top choice for your career growth: - Global Award-Winning Culture - Flexible Work Environment - Generous Paid Time Off - World-Class Benefits and Compensation - Rapid Growth Opportunities - Company Sponsored Two-Way Transportation - Exponential Career Growth To excel in this role, you should possess a solid grasp of Tax and accounting concepts along with exceptional analytical and problem-solving skills. Attention to detail, meeting deadlines, and effective communication are key attributes for success. Proficiency in Microsoft Word, Access, Excel, Outlook, Internet navigation, and research is preferred. Previous experience in Sales and Use tax filing and Return Preparation is advantageous. Your responsibilities will include but are not limited to: - Creating a positive team environment by proactively managing tasks - Providing guidance to junior staff and new hires on processes - Identifying and addressing training needs for smooth knowledge transfer - Assisting in return preparation and ensuring quality standards are met - Reviewing online filings of tax returns and Electronic Data Interchange from India - Facilitating internal and external debrief calls and coordinating with Tax Specialists - Collaborating with team members on process improvements - Delivering tasks within specified deadlines with high quality standards Qualifications for this role: - Bachelor's or Master's degree in Finance/Accounting/Business preferred - 2-4 years of experience in US Taxation - Proficiency in Microsoft Office applications - Strong communication and writing skills Additional Skills required: - Advanced proficiency in Microsoft Excel and PDF applications - Troubleshooting and resolving compliance issues - Maintaining quality control methods - Willingness to take on additional responsibilities as needed The work environment: - Current work hours may vary based on US work hours/time zone - Flexibility to work different shifts as required - Overtime may be necessary during compliance filing periods - Regular interaction with employees in India and the US via email and telephone Join us at Ryan, an Equal Opportunity Employer, where your skills and dedication will be valued as we work together towards achieving success.,

At PwC, as a member of the data and analytics team, your primary focus will be on harnessing data to uncover insights and drive strategic decision-making for clients. Through the use of advanced analytics techniques, you will assist clients in optimizing their operations and achieving their business objectives. In this role, you will be responsible for utilizing your expertise in data manipulation, visualization, and statistical modeling to tackle complex business challenges through data analysis. PwC US - Acceleration Center is currently looking for a skilled GenAI Data Scientist to join our team at the Senior Associate level. As a GenAI Data Scientist, you will be instrumental in the development and implementation of machine learning models and algorithms for our GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and demonstrate proficiency in statistical analysis, machine learning, data visualization, and application programming. With a minimum of 4 years of hands-on experience, the successful candidate will have the following responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Implement Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Keep abreast of the latest advancements in GenAI technologies and propose innovative solutions to enhance data science processes. Requirements for this role include: - 3-5 years of relevant technical/technology experience, with a specific focus on GenAI projects. - Proficiency in programming languages such as Python, R, or Scala. - Strong familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn. - Experience in data preprocessing, feature engineering, and data wrangling techniques. - Solid grasp of statistical analysis, hypothesis testing, and experimental design. - Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. - Proficiency in data visualization tools and techniques. - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. - Capability to thrive in a fast-paced and dynamic work environment. Preferred qualifications include: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience in developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice to have skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM-backed agent frameworks like Autogen, Langchain, Semantic Kernel, etc. - Proficiency in chatbot design and development. Professional and educational background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA.,

The Specialized Analytics Senior Analyst is a seasoned professional role that requires in-depth disciplinary knowledge and expertise. You will contribute to the development of new techniques and process improvements within your area of function. Your role will involve integrating subject matter and industry expertise to ensure the smooth operation of processes. You must have a comprehensive understanding of how different areas integrate within the sub-function and how they contribute to the overall objectives of the function and business. You will be responsible for evaluating moderately complex issues with potential impacts, requiring you to weigh various alternatives and balance conflicting situations using multiple sources of information. Strong analytical skills are essential to filter, prioritize, and validate complex material from diverse sources. Excellent communication and diplomacy skills are also required as you will often assume informal or formal leadership roles within teams, coaching and training new recruits. Your influence will have a significant impact on project size and geography by providing advice, counsel, and facilitating services in your area of specialization. The performance of all teams in the area will directly depend on your performance. Responsibilities: - Work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using tools like SQL and Access to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, potentially utilizing statistical models/algorithms and data visualization techniques - Specialize in marketing, risk, digital, and AML fields - Appropriately assess risk in business decisions to safeguard Citigroup, its clients, and assets by driving compliance with laws and regulations Qualifications: - 8-12 years of experience - Proficient in retrieving and manipulating data - Advanced analytic ability and problem-solving skills to address business questions with data-driven solutions - Ability to build partnerships with cross-functional teams - Experience in a quantitative field, preferably in the Financial/Credit Card industry - Willingness to learn with a can-do attitude - Excellent communication and interpersonal skills, detail-oriented, flexible, and adaptive to a matrix work environment Education: - Bachelors/University degree or equivalent experience This job description provides an overview of the work performed, and additional duties may be assigned as required.,

As a Data Mining & Research Specialist at ISMG, you will play a key role in various critical data projects by conducting thorough research on aspects of the ISMG subscriber base. Your primary responsibility will be to maintain accurate and current data entry points, ensuring that all relevant information is up to date. Your duties will include executing research projects that involve standardized and customized data sets to cater to ISMG's customer base and internal business needs. You will contribute to the management of large data sets, ensuring accuracy, integrity, and timely delivery of projects. Additionally, you will collaborate with internal stakeholders to provide regular progress updates, identify challenges, and address potential roadblocks promptly. To be successful in this role, a Bachelor's Degree in Business, Marketing, Statistics, or a related field is preferred. You should have at least one year of professional experience in Market Research fields. Advanced expertise in Excel for complex data analysis tasks is essential. Proficiency in Microsoft Word and PowerPoint is required, with a willingness to learn and adapt to other data and marketing programs quickly. Knowledge of data manipulation, quantitative research, hierarchical databases, and exposure to data software packages is advantageous. Experience with Power BI is a major plus. Strong communication skills, both written and verbal, along with effective presentation abilities are crucial for this position. Excellent time management and project management skills are also necessary. This position is based at our Delhi office, and your presence in the office from Monday to Friday during standard hours of operation is mandatory.,

As a Data Engineer at our company, you will be responsible for handling ETL processes using PySpark, SQL, Microsoft Fabric, and other relevant technologies. You will collaborate with clients and stakeholders to comprehend data requirements and devise efficient data models and solutions. Additionally, optimizing and tuning existing data pipelines for enhanced performance and scalability will be a crucial part of your role. Ensuring data quality and integrity throughout the data pipeline and documenting technical designs, processes, and procedures will also be part of your responsibilities. It is essential to stay updated on emerging technologies and best practices in data engineering and contribute to building CICD pipelines using Github. To qualify for this role, you should hold a Bachelor's degree in computer science, engineering, or a related field, along with a minimum of 3 years of experience in data engineering or a similar role. A strong understanding of ETL concepts and best practices is required, as well as proficiency in Azure Synapse, Microsoft Fabric, and other data processing technologies. Experience with cloud-based data platforms such as Azure or AWS, knowledge of data warehousing concepts and methodologies, and proficiency in Python, PySpark, and SQL programming languages for data manipulation and scripting are also essential. Desirable qualifications include experience with data lake concepts, familiarity with data visualization tools like Power BI or Tableau, and certifications in relevant technologies such as Microsoft Certified: Azure Data Engineer Associate. Our company offers various benefits including group medical insurance, cab facility, meals/snacks, and a continuous learning program. Stratacent is a Global IT Consulting and Services firm with headquarters in Jersey City, NJ, and global delivery centers in Pune and Gurugram, along with offices in the USA, London, Canada, and South Africa. Specializing in Financial Services, Insurance, Healthcare, and Life Sciences, we assist our customers in their transformation journey by providing services in Information Security, Cloud Services, Data and AI, Automation, Application Development, and IT Operations. For more information, you can visit our website at http://stratacent.com.,

At PwC, the focus of individuals in data and analytics engineering is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Playing a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will concentrate on leveraging advanced analytics and machine learning techniques to extract insights from large datasets, driving data-driven decision making. You will be involved in developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. You will be crucial in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams to develop high-impact, commercially relevant insights for thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Demonstrates in-depth level abilities and/or a proven record of success in managing efforts with identifying and addressing client needs: - As a critical member of a team of Retail and Consumer data scientists, maintaining and analyzing large, complex datasets to uncover insights that inform topics such as consumer sentiment, future business trends/challenges, insights around cyclical consumer-related events (e.g., holidays, back-to-school, Super Bowl, etc.), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Supporting in the identification of new, cutting-edge datasets that add to the firm's differentiation amongst competitors and clients. - Supporting in building predictive models and data-led tools. - Designing and conducting experiments (A/B testing, market basket analysis, etc.) to measure the effectiveness of new approaches and drive continuous improvement. - Partnering with the US team to translate analytical findings into actionable recommendations and compelling stories. - Developing dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Staying up to date and ahead of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Having experience managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills and proficiency in Python and/or R for data manipulation and modeling. - Experience applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size, etc.). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Prior work with pricing optimization, inventory forecasting, or omnichannel analytics.,

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. This position is a Quant Profile to support the activities of the Quantitative Research Group (cross asset classes) & Custody & Fund Services globally, sitting out in Mumbai. The QR team in Mumbai plays a critical role in providing effective, timely, and independent assessments of the Firm's booking models of exotic structures and also helps in developing new models for structures as and when necessary. As a Quantitative Research Associate/Vice President within the Quantitative Research Group, you will partner with the Business to provide a comprehensive view and support the activities of the Quantitative Research Group across asset classes globally. You will play a critical role in providing effective, timely, and independent assessments of the Firm's booking models of exotic structures and help develop new models as necessary. You will be part of a team transforming business practices through data science and other quantitative methods, where JP Morgan is a dominant player, handling trillions of dollars of client assets. Job Responsibilities: - Perform large-scale analysis on our proprietary dataset to solve problems never tackled before. - Identify new insights that drive feature modeling to generate nuanced insights. - Build models end-to-end, from prototype to full-scale production. - Make real-world, commercial recommendations through effective presentations to various stakeholders. - Leverage data visualization to communicate data insights and results. - Document and test new/existing models in partnership with control groups. - Implementation of models in Python-based proprietary libraries. - Ongoing desk support. Required qualifications, capabilities & skills: - A master's or Ph.D. degree program in computer science, statistics, operations research, or other quantitative fields. - Strong technical skills in data manipulation, extraction, and analysis. - Fundamental understanding of statistics, optimization, and machine learning methodologies. - Build models end-to-end, from prototype to full-scale production, utilizing ML/ big data modeling techniques. - Knowledge in the development of models on cloud infrastructure. - Integrate and utilize LLM models for advanced model development and enhancement. - Possess basic knowledge of financial instruments and their pricing. - Mastery of software design principles and development skills using one of C++, Python, R, Java, Scala. - Previous practical experience in solving machine learning problems using open-source packages. - Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience. Preferred qualifications, capabilities & skills: - Participation in KDD/Kaggle competition or contribution to GitHub highly desirable.,

An exciting opportunity awaits you in a small yet strategically vital Modernization team within the Global Research business. This team is part of Corporate and Investment Banking Global Research and is dedicated to delivering innovative digital products, experiences, and solutions to both internal and external clients. These offerings enhance the curation and consumption of our Global Research product across diverse client channels. The Research Modernization team is committed to identifying new opportunities and spearheading execution and change throughout the organization. As a Python Developer within the Research Modernization team, you will bring dynamic energy, strong attention to detail, and the ability to multitask. In this role, you will have the opportunity to be highly organized, proactive, and flexible. Your keen attention to detail, strong communication skills, and sense of urgency will be highly valued. Build, deploy, and maintain business processes using Python. Collaborate with Research Analysts to understand their data needs and translate their requirements into data/information solutions. Utilize Python for data handling and manipulation to prepare and transform data into a usable format for Research Analysts. Create, productionize, and store enhanced and original datasets; improve data analysis and discovery tools; model the data with a focus on ease of storage, retrieval, and usability. Develop scripts and tools to automate repetitive tasks, improve efficiency, and streamline workflows. Automate publication and analytics workflows for Research Analysts. Monitor and troubleshoot process performance and reliability issues in a timely manner. Identify opportunities for process improvement and develop policies for data access and governance. Ensure data quality and integrity through effective validation and testing processes. Research and analyze datasets using a variety of analytical techniques in Python. Required qualifications, capabilities, and skills: - Bachelors degree in engineering, computer science, information technology, or other data science/analytics fields. - Minimum 1 year of hands-on experience in developing applications using Python. - High level of proficiency in Python and relevant packages for data handling and manipulation. It is essential that the candidate has hands-on experience and in-depth knowledge of libraries like Pandas and NumPy. - Strong background in data structures, algorithms, and data engineering, with experience in multiple data/technology platforms. - Strong analytical and problem-solving skills. - Excellent communication, presentation, interpersonal, and organizational skills. - Detail-oriented, with a highly disciplined approach to processes and controls. Preferred qualifications, capabilities, and skills: - Understanding of libraries for web scraping, such as BeautifulSoup and Selenium, will be a plus.,