4894 Data Processing Jobs - Page 47

Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

Role Description: As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

About The Role Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

About The Role Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

About The Role Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

About The Role Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

About The Role Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) / Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) / Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) / Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) / Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

Roles & Responsibilities The Analyst will work on back-office and middle-office processes for financial institutions, handling various stages of the client/product lifecycle across KYC, reference data management, legal docs, loans, portfolio reconciliation, document capture, system reconciliation, pre and post settlements, brokerage functions, drafting, trade support, corporate actions, tax operations, and more. Responsibilities also include data capture, cataloging, data processing, system inputs and updates, reconciliations, settlements, and fund transfers. The role involves preparing reports using MS Excel and may require external interaction with agents/counterparties/clients to resolve process-related queries and discrepancies via phone or email. Key responsibilities include Identifying and escalating risks, promptly reporting outstanding issues to clients. Performing various trade support activities across the Trade Lifecycle, such as Trade Confirmation matching, Trade Pre-Settlements support, Front office to back-office reconciliation of trade positions, report generation, and settlements of cash flows from trading events (e.g., Interest or Premium). Handling operations of Syndicated Loans and Corporate action setup and operations. Managing other capital market operational tasks beyond Trade Lifecycle support, including Reference Data support and Regulatory reporting (Swaps Data Repository, SDR, Know Your Customer (KYC), various front-office and back-office reconciliations). Learning and mastering various financial products, including Equity Securities and Derivatives, Interest Rates Swaps, FX Spot, Options, Futures, Credit Derivatives Swaps, Commodities Derivatives, and Fixed Income products (e.g., Corporate and Treasury Bonds). Qualification and Skills Bachelors Degree (B.Com, BBA, BBM, BCA) / Masters Degree (M.Com, MBA, PGDM). 0 to 2 years of experience in investment banking operations involving projects, people, process, and client management. Basic knowledge of finance, trade lifecycle, investment banking, and derivatives. Strong logical and quantitative abilities to derive insights from data. Excellent time management skills and ability to resolve issues promptly. Proficiency in planning, organizing, and time management.

Collaborates with all lines of business and functions to delivery software solutions. Experiments, develops and productionizes high quality machine learning models, services and platforms to make huge technology and business impact. Designs and implements highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience BE/B.Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field. Solid programming skills with Python Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Expert in at least one of the following areas Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Experience in using GenAI (OpenAI or other models ) to solve business problem. Knowledge of machine learning frameworks Tensorflow and Pytorch Experience in training/ inference/ML ops on public cloud (AWS/GCP/Azure) Strong analytical and critical thinking skills. Preferred qualifications, capabilities, and skills Self-motivation, great communication skills and team player Knowledge of Asset and Wealth management business is added advantage .

We are seeking a Senior Data Engineer to join our fast-growing data engineering team supporting a large-scale healthcare and nonprofit analytics program for a US-based client. This role will focus on building and optimizing cloud-native data pipelines using AWS services to support analytics, reporting, and stakeholder decision-making. You will work closely with architects, analysts, and product teams to integrate disparate data sources, ensure data quality, and deliver business-critical data solutions at scale. Key Responsibilities Design and implement robust, scalable ETL/ELT pipelines using AWS-native tools Ingest and transform data from multiple sources into S3 , applying schema discovery via AWS Glue Crawlers Develop and orchestrate workflows using Apache Airflow , AWS Step Functions , and Lambda functions Build and optimize data models in Amazon Redshift for analytics consumption Manage and enforce IAM-based access control , ensuring secure data practices Write clean, modular, and reusable code in PySpark and SQL for large-scale data processing Implement monitoring, alerting, and CI/CD pipelines to improve deployment efficiency and reliability Work closely with business stakeholders and analysts to understand data requirements and deliver meaningful insights Participate in code reviews and knowledge-sharing activities across teams. Understands scrum and comfortable working in an Agile environment. Required Skills 4+ years of experience as a Data Engineer, with at least 3+ years working in cloud-native environments (preferably AWS ) Hands-on experience with S3 , Redshift , Glue (ETL & Crawlers) , Lambda , Step Functions , and Airflow Strong programming skills in PySpark and SQL Experience designing and implementing data lakes , data warehouses , and real-time/near-real-time pipelines Familiarity with DevOps , CI/CD pipelines , and infrastructure as code tools (e.g., Git, CloudFormation, Terraform) Understanding of data governance , data security , and role-based access control in cloud environments Strong problem-solving skills and ability to work independently as well as collaboratively Excellent written and verbal communication skills Nice to Have Experience working in domains such as nonprofit, healthcare, or campaign marketing Familiarity with AWS Notebooks, Athena, and CloudWatch Exposure to data observability tools, testing frameworks, or event-driven architectures Experience mentoring junior engineers or leading small teams

We are seeking a Senior Data Engineer to join our fast-growing data engineering team supporting a large-scale healthcare and nonprofit analytics program for a US-based client. This role will focus on building and optimizing cloud-native data pipelines using AWS services to support analytics, reporting, and stakeholder decision-making. You will work closely with architects, analysts, and product teams to integrate disparate data sources, ensure data quality, and deliver business-critical data solutions at scale. Key Responsibilities Design and implement robust, scalable ETL/ELT pipelines using AWS-native tools Ingest and transform data from multiple sources into S3 , applying schema discovery via AWS Glue Crawlers Develop and orchestrate workflows using Apache Airflow , AWS Step Functions , and Lambda functions Build and optimize data models in Amazon Redshift for analytics consumption Manage and enforce IAM-based access control , ensuring secure data practices Write clean, modular, and reusable code in PySpark and SQL for large-scale data processing Implement monitoring, alerting, and CI/CD pipelines to improve deployment efficiency and reliability Work closely with business stakeholders and analysts to understand data requirements and deliver meaningful insights Participate in code reviews and knowledge-sharing activities across teams. Understands scrum and comfortable working in an Agile environment. Required Skills 4+ years of experience as a Data Engineer, with at least 3+ years working in cloud-native environments (preferably AWS ) Hands-on experience with S3 , Redshift , Glue (ETL & Crawlers) , Lambda , Step Functions , and Airflow Strong programming skills in PySpark and SQL Experience designing and implementing data lakes , data warehouses , and real-time/near-real-time pipelines Familiarity with DevOps , CI/CD pipelines , and infrastructure as code tools (e.g., Git, CloudFormation, Terraform) Understanding of data governance , data security , and role-based access control in cloud environments Strong problem-solving skills and ability to work independently as well as collaboratively Excellent written and verbal communication skills Nice to Have Experience working in domains such as nonprofit, healthcare, or campaign marketing Familiarity with AWS Notebooks, Athena, and CloudWatch Exposure to data observability tools, testing frameworks, or event-driven architectures Experience mentoring junior engineers or leading small teams

Design and implement robust, scalable ETL/ELT pipelines using AWS-native tools Ingest and transform data from multiple sources into S3 , applying schema discovery via AWS Glue Crawlers Develop and orchestrate workflows using Apache Airflow , AWS Step Functions , and Lambda functions Build and optimize data models in Amazon Redshift for analytics consumption Manage and enforce IAM-based access control , ensuring secure data practices Write clean, modular, and reusable code in PySpark and SQL for large-scale data processing Implement monitoring, alerting, and CI/CD pipelines to improve deployment efficiency and reliability Work closely with business stakeholders and analysts to understand data requirements and deliver meaningful insights Participate in code reviews and knowledge-sharing activities across teams. Understands scrum and comfortable working in an Agile environment. Required Skills 4+ years of experience as a Data Engineer, with at least 3+ years working in cloud-native environments (preferably AWS ) Hands-on experience with S3 , Redshift , Glue (ETL & Crawlers) , Lambda , Step Functions , and Airflow Strong programming skills in PySpark and SQL Experience designing and implementing data lakes , data warehouses , and real-time/near-real-time pipelines Familiarity with DevOps , CI/CD pipelines , and infrastructure as code tools (e.g., Git, CloudFormation, Terraform) Understanding of data governance , data security , and role-based access control in cloud environments Strong problem-solving skills and ability to work independently as well as collaboratively Excellent written and verbal communication skills Nice to Have Experience working in domains such as nonprofit, healthcare, or campaign marketing Familiarity with AWS Notebooks, Athena, and CloudWatch Exposure to data observability tools, testing frameworks, or event-driven architectures Experience mentoring junior engineers or leading small teams

End-to-End Project Management Oversee timelines, deliverables, and resources across multiple projects Collaborating across teams and stakeholders to running projects and programs in the DS and School Success function Leverage and help evolve internal AI and Excel-based tools; Identify process inefficiencies and recommend scalable improvements. Create internal tools and perform data processing tasks as requested by the school through excel tools and functionalities. Is this someone that looks like you Experience: 2-4 years of experience working in growth-stage start-ups Loves solving complex problems Can work across teams and execute with high ownership Has good attention to detail Has good Excel skills and is comfortable with large volumes of data We deeply value building the right culture at Toddle, and these are a few things that we look for in each hire Coach-ability, Curiosity, Ownership, Hustle and Humility Excited about the role Flexibility at work: Work from anywhere home, a co-working space, a caf , or even the hills. Blocked no-meeting hours to enable uninterrupted, focused work. Exposure to diverse learning opportunities: Work across different projects and teams to develop skills outside of your core expertise. Learning budget: Access to a small budget for books, online courses, and subscriptions. Industry-best leave policy: No cap on the number of sick or casual leaves. Special paid leaves for childbirth, weddings, and more. No questions asked on menstrual leave No bell-curve performance evaluations: We hire the best, and we trust you to deliver your best. A fun and diverse team to collaborate and grow with

Develop and implement innovative AI models and algorithms tailored to business needs. Collaborate with data scientists, software developers, and product managers to define project objectives and deliver high-quality AI solutions. Optimize machine learning models for performance, scalability, and real-time data processing. Participate in code reviews, architecture discussions, and knowledge sharing sessions to foster a culture of continuous improvement. Stay updated on the latest advancements in AI technologies and techniques, and evaluate their applicability to ongoing projects. Mentor and guide junior team members in AI development practices and principles. Bachelors or Master s degree in Computer Science, Artificial Intelligence, or a related field. 5+ years of experience in AI development or a related role. Strong proficiency in programming languages such as Python, Java, or

-Manage Excel data & prepare MIS reports -Support analysis, costing & order tracking -Ensure accuracy, confidentiality & timely delivery -Proficient in Advanced Excel (Pivot, VLOOKUP, HLOOKUP etc.) -Detail-oriented, proactive & a strong team player

Job Description Position: Team Lead Invoice & Data Analysis (US Telecom) Employment Type: Full-Time Location: Hyderabad (Work From Office) Role Overview We are seeking an experienced Team Lead Invoice & Data Analysis (US Telecom) to oversee invoice reconciliation and data research processes. The role requires strong analytical expertise, proven team leadership, and in-depth knowledge of US telecom invoice processing. You will lead a team of analysts, manage timelines, ensure high-quality deliverables, and drive continuous improvement in data accuracy and process efficiency. Key Responsibilities Lead and manage a team of 9 - 14 data analysts working on invoice reconciliation and data research. Ensure accuracy and efficiency in invoice processing, reconciliation, and analysis. Identify and resolve data discrepancies while maintaining high-quality standards. Collaborate with clients, vendors, and internal stakeholders to resolve issues and align on deliverables. Develop and implement process improvement strategies for invoice reconciliation and data analysis. Leverage tools like Excel, Power BI, and Tableau to analyze data, identify trends, and present findings. Establish and monitor quality control procedures to ensure compliance with client requirements. Prepare reports, dashboards, and presentations highlighting key activities, insights, and recommendations. Train, mentor, and guide team members on data analysis techniques and best practices. Manage multiple priorities in a fast-paced environment while meeting deadlines and SLAs. Required Skills & Competencies Strong analytical and problem-solving skills with keen attention to detail. Proficiency in Microsoft Excel (Advanced), Power BI, Tableau, and MS Office Suite . Experience in US Telecom invoice processing and strong secondary research capabilities. Excellent communication skills (written and verbal). Strong interpersonal and leadership abilities with experience managing large teams. Ability to streamline processes, identify opportunities for automation, and enhance efficiency. Qualifications Graduate / Postgraduate in Commerce, Business Management, or equivalent discipline . 9+ years of experience in data research & analysis, including 2 - 3 years of team/people management . Industry Telecom / Data Research / Analytics

As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Department - ISS Reports To - Data Engineers Lead Level - 4 About your team ISS Data Engineering Chapter is an engineering group comprised of three sub-chapters - Data Engineers, Data Platform and Data Visualisation that supports the ISS Department. Fidelity is embarking on several strategic programmes of work that will create a data platform to support the next evolutionary stage of our Investment Process. These programmes span across asset classes and include Portfolio and Risk Management, Fundamental and Quantitative Research and Trading. About your role This role sits within the ISS Data Engineering. The Data Engineering team is responsible for building and maintaining the data applications and platform that enables the ISS business to operate. This role is appropriate for a senior data engineer capable of taking ownership and a delivering a subsection of the wider data platform or data applications. Strategic Impact As a Senior Data Engineer, you will directly contribute to our key organizational objectives: Cost Efficiency Improve productivity through automating routine maintenance tasks Decrease time to deliver continuous improvement initiatives Optimize infrastructure costs through efficient database design Risk Mitigation Improve system documentation and knowledge transfer Increase automated testing coverage Enhance system and location resiliency. Key Responsibilities - Design, develop, and optimize complex SQL queries, stored procedures, and data models for Oracle-based systems Create and maintain efficient data pipelines for extract, transform, and load (ETL) processes Design and implement data quality controls and validation processes to ensure data integrity Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications Establish documentation standards and ensure comprehensive system documentation Lead troubleshooting efforts and resolve complex database performance issues Design and implement integrations between Oracle systems and cloud services, particularly AWS S3 Lead code reviews and establish best practices for database development Design and implement data migration strategies from legacy systems to modern cloud-based solutions Work within an Agile framework, taking a leadership role in sprint planning and technical discussions. About you - Required Qualifications: 5-10 years of experience with Oracle databases, including advanced SQL and PL/SQL development Strong knowledge of data modelling principles and database design patterns Proficiency with Python for data processing and automation Extensive experience implementing and maintaining data quality controls Proven ability to reverse engineer existing database schemas and understand complex data relationships Strong experience with version control systems, preferably Git/GitHub Excellent written communication skills for technical documentation Demonstrated ability to work within and help guide Agile development methodologies Strong knowledge of investment management industry concepts, particularly security reference data, fund reference data, transactions, orders, holdings, and fund accounting. Additional Qualifications: Knowledge of SQL Server development Experience with ETL tools like Informatica and Control-M Unix shell scripting skills for data processing Experience with CI/CD pipelines for database code Familiarity with AWS services, particularly S3, Lambda, and Step Functions Knowledge of database security best practices Experience with data visualization tools (Tableau, Power BI) Experience mentoring junior developers.

Your Role Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager. Creating servers, databases, and datasets for functionality as needed. Ensuring health of data connections and pipelines (utilizing filesystem, JDBC, SFTP, and webhook). Ensuring conformance with security protocols and markings on sensitive data sets. Ensuring responsiveness of web applications developed on low code/no code solutions. Ensuring cross-platform optimization for mobile phones. Seeing through projects from conception to finished product. Meeting both technical and customer needs. Staying abreast of developments in web applications and programming languages. Proficiency with fundamental front-end languages such as HTML, CSS, MySQL, Oracle, MongoDB, and JavaScript preferred. Proficiency with server-side languages for structured data processing; Python, Py Spark, Java, Apache Spark, and Spark SQL preferred. Your Profile Strong customer orientation, decision making, problem solving, communication and presentation skills Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies Strong executive presence andspirit Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Location - Bengaluru,Hyderabad,Pune,Mumbai,Chennai