As an experienced Software Verification Engineer, you will be responsible for performing testing for mobile applications, focusing on automation using Python. Your key responsibilities will include: - Developing, enhancing, and maintaining automated test scripts using Python - Preparing and reviewing test documentation such as Test Plans, Protocols, and Traceability Reports - Analyzing system requirements for testability, completeness, and consistency - Designing and implementing test strategies, plans, and test cases for automated testing - Executing automated tests, analyzing results, identifying defects, and verifying software quality - Performing manual testing when necessary to validate features and functionality - Collaborating with developers, product managers, and stakeholders for requirement understanding and test coverage - Identifying, documenting, and tracking defects using issue-tracking tools - Evaluating application performance, memory utilization, and overall system behavior - Contributing to automation framework development and enhancements To excel in this role, you should have: - 6+ years of experience in mobile automation testing - Strong proficiency in Python for test automation - Solid understanding of automation frameworks and the ability to enhance them - Experience with manual testing and a strong knowledge of testing methodologies - Familiarity with test management and issue tracking tools such as Jira - Hands-on experience with Git or other version control systems - Good understanding of requirements analysis, system/software integration, and verification - Knowledge of tools for performance and memory utilization testing - Excellent communication, analytical, and problem-solving skills Please note that this job requires a strong background in mobile automation testing, proficiency in Python, and the ability to collaborate effectively with cross-functional teams. As an experienced Software Verification Engineer, you will be responsible for performing testing for mobile applications, focusing on automation using Python. Your key responsibilities will include: - Developing, enhancing, and maintaining automated test scripts using Python - Preparing and reviewing test documentation such as Test Plans, Protocols, and Traceability Reports - Analyzing system requirements for testability, completeness, and consistency - Designing and implementing test strategies, plans, and test cases for automated testing - Executing automated tests, analyzing results, identifying defects, and verifying software quality - Performing manual testing when necessary to validate features and functionality - Collaborating with developers, product managers, and stakeholders for requirement understanding and test coverage - Identifying, documenting, and tracking defects using issue-tracking tools - Evaluating application performance, memory utilization, and overall system behavior - Contributing to automation framework development and enhancements To excel in this role, you should have: - 6+ years of experience in mobile automation testing - Strong proficiency in Python for test automation - Solid understanding of automation frameworks and the ability to enhance them - Experience with manual testing and a strong knowledge of testing methodologies - Familiarity with test management and issue tracking tools such as Jira - Hands-on experience with Git or other version control systems - Good understanding of requirements analysis, system/software integration, and verification - Knowledge of tools for performance and memory utilization testing - Excellent communication, analytical, and problem-solving skills Please note that this job requires a strong background in mobile automation testing, proficiency in Python, and the ability to collaborate effectively with cross-functional teams.

As a highly skilled Senior Power BI & Azure Data Factory Engineer, your role will involve designing and implementing scalable data pipelines to enable powerful business intelligence outcomes. Your deep hands-on experience in ETL development, data modeling, Azure cloud services, SQL development, and Power BI integration will be crucial for this position. **Roles & Responsibilities:** - Design, develop, and maintain robust ETL pipelines using Azure Data Factory. - Implement and optimize end-to-end data workflows across cloud environments. - Develop Power BI dashboards and data models, integrating datasets for impactful business insights. - Write highly optimized SQL queries while working with relational databases such as Snowflake, SQL Server, PostgreSQL, MySQL, etc. - Leverage Python (Pandas, NumPy, etc.) for data extraction, cleansing, validation, and transformation. - Design efficient data models and schemas with a strong understanding of normalization and denormalization. - Ensure data governance and security, including role-based access control, encryption, and masking. - Utilize Azure Blob Storage, Azure Key Vault, and other Azure components for secure and scalable data operations. - Implement task automation and orchestration for data pipeline execution and monitoring. - Collaborate with cross-functional stakeholders to address data requirements and resolve issues proactively. **Essential Skills & Experience:** - 8-9 years of experience in data engineering and BI development - Advanced SQL skills and hands-on experience with relational databases - Strong expertise in Azure Data Factory for ETL pipeline building - Proficiency in Power BI dashboard development, data modeling & DAX (preferred) - Knowledge of Python and data libraries (Pandas, NumPy) Azure cloud exposure including Blob Storage, Key Vault, ADF - Experience with data governance, security, and access control - Familiarity with automation / orchestration tools for pipeline management - Strong communication, problem-solving, collaboration & adaptability **Good to Have:** - Experience with big data platforms Databricks, Spark, Hadoop - Exposure to CI/CD for data pipelines - Implementation experience across enterprise-scale BI environments In addition to the specific role requirements, this opportunity offers: - Opportunity to work on cloud-first and modern enterprise BI solutions - Highly collaborative and learning-oriented environment - Impact-driven role working with high-visibility data products (Note: Company-specific details were not provided in the job description) As a highly skilled Senior Power BI & Azure Data Factory Engineer, your role will involve designing and implementing scalable data pipelines to enable powerful business intelligence outcomes. Your deep hands-on experience in ETL development, data modeling, Azure cloud services, SQL development, and Power BI integration will be crucial for this position. **Roles & Responsibilities:** - Design, develop, and maintain robust ETL pipelines using Azure Data Factory. - Implement and optimize end-to-end data workflows across cloud environments. - Develop Power BI dashboards and data models, integrating datasets for impactful business insights. - Write highly optimized SQL queries while working with relational databases such as Snowflake, SQL Server, PostgreSQL, MySQL, etc. - Leverage Python (Pandas, NumPy, etc.) for data extraction, cleansing, validation, and transformation. - Design efficient data models and schemas with a strong understanding of normalization and denormalization. - Ensure data governance and security, including role-based access control, encryption, and masking. - Utilize Azure Blob Storage, Azure Key Vault, and other Azure components for secure and scalable data operations. - Implement task automation and orchestration for data pipeline execution and monitoring. - Collaborate with cross-functional stakeholders to address data requirements and resolve issues proactively. **Essential Skills & Experience:** - 8-9 years of experience in data engineering and BI development - Advanced SQL skills and hands-on experience with relational databases - Strong expertise in Azure Data Factory for ETL pipeline building - Proficiency in Power BI dashboard development, data modeling & DAX (preferred) - Knowledge of Python and data libraries (Pandas, NumPy) Azure cloud exposure including Blob Storage, Key Vault, ADF - Experience with data governance, security, and access control - Familiarity with automation / orchestration tools for pipeline management - Strong communication, problem-solving, collaboration & adaptability **Good to Have:** - Experience with big data platforms Databricks, Spark, Hadoop - Exposure to CI/CD for data pipelines - Implementation experience across enterprise-scale BI environments In addition to the specific role requirements, this opportunity offers: - Opportunity to work on cloud-first and modern enterprise BI solutions - Highly collaborative and l

As a candidate for this role, you should have the following qualifications and experience: Role Overview: - You should have 4-6 years of strong hands-on programming experience in Java and Spring Boot. - Expertise in React JS, JavaScript, HTML, and CSS is a must, along with knowledge of Microservices and Rest Services. - Having very good web-based development experience is essential. - Knowledge in Secure Software Development Life Cycle (SSDLC) is required. - Experience working with Agile methodology is expected. Key Responsibilities: - Hands-on experience with Oracle Database. - Proficiency in using Static Analysis tools like Sonar cube, Checkmarks, etc, and JMS MQ/Solace. - Familiarity with DEVOPS process (CI/CD). - Understanding of user interface frameworks, Java, and application servers. - Knowledge of the full software development lifecycle. - Strong analytical and problem-solving skills. - Strong oral and written communication skills. - Positive goal-oriented attitude with a focus on delivery. - Knowledge in Swagger, load balancing, caching mechanisms, and API gateways. Qualifications Required: - Experience with either Maven, Ant, or Gradle. - Experience with Enzyme or Jest JavaScript Libraries, SCSS is good to have. - Understanding of cloud computing, PCF, Docker containers is a plus. - Financial domain experience is beneficial. As a candidate for this role, you should have the following qualifications and experience: Role Overview: - You should have 4-6 years of strong hands-on programming experience in Java and Spring Boot. - Expertise in React JS, JavaScript, HTML, and CSS is a must, along with knowledge of Microservices and Rest Services. - Having very good web-based development experience is essential. - Knowledge in Secure Software Development Life Cycle (SSDLC) is required. - Experience working with Agile methodology is expected. Key Responsibilities: - Hands-on experience with Oracle Database. - Proficiency in using Static Analysis tools like Sonar cube, Checkmarks, etc, and JMS MQ/Solace. - Familiarity with DEVOPS process (CI/CD). - Understanding of user interface frameworks, Java, and application servers. - Knowledge of the full software development lifecycle. - Strong analytical and problem-solving skills. - Strong oral and written communication skills. - Positive goal-oriented attitude with a focus on delivery. - Knowledge in Swagger, load balancing, caching mechanisms, and API gateways. Qualifications Required: - Experience with either Maven, Ant, or Gradle. - Experience with Enzyme or Jest JavaScript Libraries, SCSS is good to have. - Understanding of cloud computing, PCF, Docker containers is a plus. - Financial domain experience is beneficial.

As a Software Risk Analyst, your primary responsibilities will include: - Conducting SOUP (Software of Unknown Provenance) & Software Risk Analysis to evaluate the risk associated with supplier-provided software, open-source libraries, and licensed components. - Collaborating with software development teams to assess software against security criteria and documenting findings in compliance with IEC 81001-5-1 and ISO 14971 standards. - Performing Vulnerability Assessment & Impact Analysis to evaluate software issues, bugs, and third-party vulnerabilities, determining their presence, accessibility, exploitability, and potential impact across safety, security, privacy, and business categories. - Synthesizing assessment information into analysis reports and issue tickets to support decision-making and regulatory compliance. In addition, you will have secondary responsibilities such as: - Collaborating with Product Security Engineers to integrate software risk results into product-level risk analysis. - Providing input to security architecture and design reviews, emphasizing code-level and component-level risk context. - Utilizing tools for vulnerability scanning, SBOM analysis, and source code analysis to support investigations. - Participating in vulnerability triage reviews, code reviews, and security incident response evaluations. - Assisting the software team in developing proactive vulnerability detection and monitoring processes in the Software Development Lifecycle. Qualifications required for this role include: - Bachelors degree in computer science, Computer Engineering, Software Engineering, or related discipline. - 8+ years of experience in embedded product software development, embedded product software security, or embedded product vulnerability analysis in regulated industries. - Strong experience in embedded software development using C++/Python and familiarity with Operating Systems concepts. As a Software Risk Analyst, your primary responsibilities will include: - Conducting SOUP (Software of Unknown Provenance) & Software Risk Analysis to evaluate the risk associated with supplier-provided software, open-source libraries, and licensed components. - Collaborating with software development teams to assess software against security criteria and documenting findings in compliance with IEC 81001-5-1 and ISO 14971 standards. - Performing Vulnerability Assessment & Impact Analysis to evaluate software issues, bugs, and third-party vulnerabilities, determining their presence, accessibility, exploitability, and potential impact across safety, security, privacy, and business categories. - Synthesizing assessment information into analysis reports and issue tickets to support decision-making and regulatory compliance. In addition, you will have secondary responsibilities such as: - Collaborating with Product Security Engineers to integrate software risk results into product-level risk analysis. - Providing input to security architecture and design reviews, emphasizing code-level and component-level risk context. - Utilizing tools for vulnerability scanning, SBOM analysis, and source code analysis to support investigations. - Participating in vulnerability triage reviews, code reviews, and security incident response evaluations. - Assisting the software team in developing proactive vulnerability detection and monitoring processes in the Software Development Lifecycle. Qualifications required for this role include: - Bachelors degree in computer science, Computer Engineering, Software Engineering, or related discipline. - 8+ years of experience in embedded product software development, embedded product software security, or embedded product vulnerability analysis in regulated industries. - Strong experience in embedded software development using C++/Python and familiarity with Operating Systems concepts.

As a skilled Data Engineer with 6 to 8 years of experience, your role will involve designing, building, and maintaining data pipelines and data models that support analytical and business intelligence needs. You should have hands-on experience with Python or SQL, Google Cloud Platform (GCP), and a strong understanding of data management, quality, and security best practices. Key Responsibilities: - Build and maintain moderately complex data pipelines to ensure data flow, transformation, and usability for analytical projects. - Design and implement data models, optimizing for performance and scalability. - Develop rules and tracking processes to support data quality models based on data characteristics and supply patterns. - Prepare data for analytical use by gathering, integrating, cleansing, and structuring data from multiple sources and systems. - Troubleshoot pipeline and data issues to maintain accuracy and reliability. - Stay updated with GCP advancements and suggest innovative solutions. - Implement security best practices within data pipelines and cloud infrastructure. - Collaborate with global teams to share and adopt best practices in data management, maintenance, reporting, and security. - Execute data quality checks to ensure consistency and integrity. - Work with credit data products and perform analysis using tools like Google BigQuery, BigTable, DataFlow, and Spark/PySpark. Mandatory Skills: - Proficiency in Python or SQL with experience in scripting for data manipulation and processing. - Intermediate understanding and experience with Google Cloud Platform (GCP) and cloud computing concepts. - Proven ability to build, maintain, and troubleshoot moderately complex data pipelines. - Experience in designing and optimizing data models for performance. - Ability to develop rules, tracking processes, and checks to support a data quality model. - Skilled in integrating, consolidating, cleansing, and structuring data for analytical use. - Knowledge of security best practices in pipelines and cloud infrastructure. - Hands-on experience with Google BigQuery, BigTable, DataFlow, Scala + Spark or PySpark. - Experience working with JSON, AVRO, and PARQUET formats. - Strong communication skills to promote global best practices and guide adoption. Preferred Qualifications: - Cloud certification (e.g., GCP Data Engineer, AWS, Azure). - Experience with credit data products. - Familiarity with data governance frameworks and metadata management tools. Technical Skills: Python, SQL, GCP, BigQuery, BigTable, DataFlow, Spark / PySpark, JSON, AVRO, PARQUET (Note: The company details were not explicitly mentioned in the provided job description.) As a skilled Data Engineer with 6 to 8 years of experience, your role will involve designing, building, and maintaining data pipelines and data models that support analytical and business intelligence needs. You should have hands-on experience with Python or SQL, Google Cloud Platform (GCP), and a strong understanding of data management, quality, and security best practices. Key Responsibilities: - Build and maintain moderately complex data pipelines to ensure data flow, transformation, and usability for analytical projects. - Design and implement data models, optimizing for performance and scalability. - Develop rules and tracking processes to support data quality models based on data characteristics and supply patterns. - Prepare data for analytical use by gathering, integrating, cleansing, and structuring data from multiple sources and systems. - Troubleshoot pipeline and data issues to maintain accuracy and reliability. - Stay updated with GCP advancements and suggest innovative solutions. - Implement security best practices within data pipelines and cloud infrastructure. - Collaborate with global teams to share and adopt best practices in data management, maintenance, reporting, and security. - Execute data quality checks to ensure consistency and integrity. - Work with credit data products and perform analysis using tools like Google BigQuery, BigTable, DataFlow, and Spark/PySpark. Mandatory Skills: - Proficiency in Python or SQL with experience in scripting for data manipulation and processing. - Intermediate understanding and experience with Google Cloud Platform (GCP) and cloud computing concepts. - Proven ability to build, maintain, and troubleshoot moderately complex data pipelines. - Experience in designing and optimizing data models for performance. - Ability to develop rules, tracking processes, and checks to support a data quality model. - Skilled in integrating, consolidating, cleansing, and structuring data for analytical use. - Knowledge of security best practices in pipelines and cloud infrastructure. - Hands-on experience with Google BigQuery, BigTable, DataFlow, Scala + Spark or PySpark. - Experience working with JSON, AVRO, and PARQUET formats. - Strong communication skills to promote global best practices and guide adoption. Preferred Qualific

You are an experienced Java Full Stack Architect responsible for designing and driving the development of scalable, cloud-native applications. Your role demands strong architectural expertise across backend, frontend, databases, and cloud platforms, along with hands-on leadership in modern microservices-based ecosystems. - Define and own application architecture for enterprise-scale systems - Design, develop, and review Java-based microservices using Spring Boot - Drive best practices for scalability, performance, security, and resiliency - Collaborate with frontend teams using React or Angular - Design and optimize NoSQL data models across MongoDB, Cassandra, Couchbase, or DynamoDB - Lead cloud-native architecture and deployments on AWS, GCP, or Azure - Mentor development teams and provide technical guidance - Participate in design reviews, code reviews, and architecture governance Qualifications Required: - 8+ years of hands-on experience in Java-based application development - Strong expertise in Java, Spring Boot, and Microservices Architecture - Frontend experience with React or Angular - Hands-on experience with NoSQL databases (MongoDB, Cassandra, Couchbase, DynamoDB) - Strong working knowledge of at least one cloud platform: AWS, GCP, or Azure Additional Details: The company emphasizes exposure to DevOps, CI/CD pipelines, and containerization, experience with API gateways, event-driven architecture, and messaging systems, as well as strong stakeholder communication and leadership skills. You are an experienced Java Full Stack Architect responsible for designing and driving the development of scalable, cloud-native applications. Your role demands strong architectural expertise across backend, frontend, databases, and cloud platforms, along with hands-on leadership in modern microservices-based ecosystems. - Define and own application architecture for enterprise-scale systems - Design, develop, and review Java-based microservices using Spring Boot - Drive best practices for scalability, performance, security, and resiliency - Collaborate with frontend teams using React or Angular - Design and optimize NoSQL data models across MongoDB, Cassandra, Couchbase, or DynamoDB - Lead cloud-native architecture and deployments on AWS, GCP, or Azure - Mentor development teams and provide technical guidance - Participate in design reviews, code reviews, and architecture governance Qualifications Required: - 8+ years of hands-on experience in Java-based application development - Strong expertise in Java, Spring Boot, and Microservices Architecture - Frontend experience with React or Angular - Hands-on experience with NoSQL databases (MongoDB, Cassandra, Couchbase, DynamoDB) - Strong working knowledge of at least one cloud platform: AWS, GCP, or Azure Additional Details: The company emphasizes exposure to DevOps, CI/CD pipelines, and containerization, experience with API gateways, event-driven architecture, and messaging systems, as well as strong stakeholder communication and leadership skills.

Role Overview: As a Software Engineer, you will be responsible for designing, developing, debugging, modifying, and testing software applications using current programming languages, methodologies, and technologies. You will document software development and test development, track software development efforts, and analyze engineering problems to recommend corrective actions. Additionally, you will analyze requirements, evaluate systems, and continuously improve work methodologies. Key Responsibilities: - Design, develop, debug, modify, and test software applications - Document software development and test development - Track software development efforts - Analyze engineering problems and recommend corrective actions - Analyze, evaluate, and verify requirements and systems - Investigate, research, and select software designs and operating systems - Plan and execute design verification activities - Continuously improve process and work methodologies - Direct support personnel and project activities - Mentor Engineers in software engineering activities and domain knowledge - Develop and enhance cross-functional team relationships Qualification Required: - BE or BTech Degree in Computer Science/Engineering or equivalent work experience - 8+ years of software development experience - Experience in C# Microsoft development using the .NET Framework, Windows app development using WPF, XAML, MVVM, MAUI, OOPS, Design Patterns, Multi-threading, SQL Server, Unit and Integration testing, Azure or AWS Cloud-based application development, Rest APIs, WCF, ASP.NET - Good to have skills in Android, Figma, and understanding fundamental design principles behind a scalable application - Solid understanding of Object-Oriented Analysis and Design - Demonstrated experience in software development lifecycle (Agile) and object-oriented design methodology - Experience with medical device regulatory guidance such as 21 CFR Part 820, IEC 62304, and ISO 13485 - Preferred experience with software configuration tools for source code control (Git), issue tracking (Jira), requirements management (Cockpit), code review tools (Code Collaborator), and 3rd party project build tools - Strong critical thinking, problem-solving, interpersonal, collaborative, and technical leadership skills - Good organizational and multi-tasking skills - Self-motivated and able to work autonomously - Eager to work with other dedicated programmers in a remote development organization (Note: Additional details of the company were not provided in the job description) Role Overview: As a Software Engineer, you will be responsible for designing, developing, debugging, modifying, and testing software applications using current programming languages, methodologies, and technologies. You will document software development and test development, track software development efforts, and analyze engineering problems to recommend corrective actions. Additionally, you will analyze requirements, evaluate systems, and continuously improve work methodologies. Key Responsibilities: - Design, develop, debug, modify, and test software applications - Document software development and test development - Track software development efforts - Analyze engineering problems and recommend corrective actions - Analyze, evaluate, and verify requirements and systems - Investigate, research, and select software designs and operating systems - Plan and execute design verification activities - Continuously improve process and work methodologies - Direct support personnel and project activities - Mentor Engineers in software engineering activities and domain knowledge - Develop and enhance cross-functional team relationships Qualification Required: - BE or BTech Degree in Computer Science/Engineering or equivalent work experience - 8+ years of software development experience - Experience in C# Microsoft development using the .NET Framework, Windows app development using WPF, XAML, MVVM, MAUI, OOPS, Design Patterns, Multi-threading, SQL Server, Unit and Integration testing, Azure or AWS Cloud-based application development, Rest APIs, WCF, ASP.NET - Good to have skills in Android, Figma, and understanding fundamental design principles behind a scalable application - Solid understanding of Object-Oriented Analysis and Design - Demonstrated experience in software development lifecycle (Agile) and object-oriented design methodology - Experience with medical device regulatory guidance such as 21 CFR Part 820, IEC 62304, and ISO 13485 - Preferred experience with software configuration tools for source code control (Git), issue tracking (Jira), requirements management (Cockpit), code review tools (Code Collaborator), and 3rd party project build tools - Strong critical thinking, problem-solving, interpersonal, collaborative, and technical leadership skills - Good organizational and multi-tasking skills - Self-motivated and able to work autonomously - Eager to work with other dedicated programmers in a

As a Lead Full Stack Developer (Java + React.js) at our company, your role will involve designing, developing, and maintaining scalable web applications. You will be required to lead end-to-end development efforts, collaborate with cross-functional teams, and ensure high-quality solutions are delivered. Your responsibilities will include: - Leading end-to-end development of web applications using Java (Spring Boot) and React.js - Designing and implementing scalable, secure, and high-performance backend services - Developing responsive and reusable UI components using React.js - Collaborating with product managers, architects, and QA teams - Reviewing code, mentoring junior developers, and enforcing best coding practices - Participating in architecture discussions, technical design, and system optimization - Ensuring adherence to SDLC, Agile/Scrum processes, and coding standards - Troubleshooting, debugging, and resolving application issues To excel in this role, you will need to possess the following skills and qualifications: - 4-8 years of hands-on experience in Full Stack Development - Strong expertise in Java, Spring Boot, and Microservices - Extensive experience with React.js is mandatory - Proficiency in REST APIs, HTML5, CSS3, and JavaScript - Experience with relational databases such as MySQL, PostgreSQL, or Oracle - Familiarity with Git, CI/CD pipelines, and version control practices - Strong problem-solving and communication skills Additionally, exposure to Cloud platforms (AWS, Azure, GCP), experience with Docker, Kubernetes, and knowledge of Node.js or other frontend frameworks will be advantageous. Prior experience leading or mentoring teams is a plus. Joining our team will offer you the opportunity to work on impactful, large-scale applications in a collaborative and growth-oriented work environment. We offer competitive compensation and maintain a strong focus on innovation and technical excellence. As a Lead Full Stack Developer (Java + React.js) at our company, your role will involve designing, developing, and maintaining scalable web applications. You will be required to lead end-to-end development efforts, collaborate with cross-functional teams, and ensure high-quality solutions are delivered. Your responsibilities will include: - Leading end-to-end development of web applications using Java (Spring Boot) and React.js - Designing and implementing scalable, secure, and high-performance backend services - Developing responsive and reusable UI components using React.js - Collaborating with product managers, architects, and QA teams - Reviewing code, mentoring junior developers, and enforcing best coding practices - Participating in architecture discussions, technical design, and system optimization - Ensuring adherence to SDLC, Agile/Scrum processes, and coding standards - Troubleshooting, debugging, and resolving application issues To excel in this role, you will need to possess the following skills and qualifications: - 4-8 years of hands-on experience in Full Stack Development - Strong expertise in Java, Spring Boot, and Microservices - Extensive experience with React.js is mandatory - Proficiency in REST APIs, HTML5, CSS3, and JavaScript - Experience with relational databases such as MySQL, PostgreSQL, or Oracle - Familiarity with Git, CI/CD pipelines, and version control practices - Strong problem-solving and communication skills Additionally, exposure to Cloud platforms (AWS, Azure, GCP), experience with Docker, Kubernetes, and knowledge of Node.js or other frontend frameworks will be advantageous. Prior experience leading or mentoring teams is a plus. Joining our team will offer you the opportunity to work on impactful, large-scale applications in a collaborative and growth-oriented work environment. We offer competitive compensation and maintain a strong focus on innovation and technical excellence.

As a Manager - Data Analyst specializing in Interest Rate Banking Book (IRBB), your role will involve leading end-to-end data analysis for IRBB, including behavioral models, rate sensitivity analysis, and balance sheet risk analytics. You will be responsible for extracting, cleansing, and analyzing large datasets from multiple banking systems using SQL and other querying tools. Additionally, you will build robust data pipelines to ensure data accuracy, completeness, and regulatory compliance for IRBB reporting. Your support to modeling teams will include providing high-quality datasets, performing back-testing, trend analysis, and reconciliation checks, as well as translating business and regulatory requirements into technical data specifications. Collaboration with stakeholders across risk, treasury, finance, and technology will be essential to implement process improvements in IRBB data processes. Identifying data-quality issues, performing root-cause analysis, and driving remediation initiatives will also be part of your responsibilities. Lastly, you will prepare dashboards, analytical reports, and presentations for senior management, mentor junior analysts, and support team-wide data governance initiatives. Key Responsibilities: - Lead end-to-end data analysis for IRBB, including behavioral models, rate sensitivity analysis, and balance sheet risk analytics. - Extract, cleanse, and analyze large datasets using SQL and other querying tools. - Build data pipelines to ensure data accuracy, completeness, and regulatory compliance. - Support modeling teams by providing high-quality datasets, performing back-testing, trend analysis, and reconciliation checks. - Translate business and regulatory requirements into technical data specifications. - Collaborate with stakeholders to implement improvements in IRBB data processes. - Identify data-quality issues, perform root-cause analysis, and drive remediation initiatives. - Prepare dashboards, analytical reports, and presentations for senior management. - Mentor junior analysts and support team-wide data governance initiatives. Qualifications Required: - 7-12 years of relevant experience in Banking Risk, Asset-Liability Management (ALM), IRRBB/IRBB, or Treasury analytics. - Strong understanding of Interest Rate Banking Book, repricing profiles, NII, EVE, rate sensitivities, and regulatory guidelines. - Expertise in SQL (Advanced), Python / SAS / R (good to have), and data visualization tools (Power BI, Tableau preferred). - Hands-on experience with large-scale data environments, data mapping, metadata, and data lineage. - Experience in banking domain data architecture, regulatory reporting, or risk systems is a strong plus. - Ability to interpret complex data, identify trends, and provide actionable insights. - Strong communication and stakeholder-management skills. Preferred Qualifications: - Bachelors or Masters degree in Engineering, Finance, Statistics, Mathematics, Economics, or related fields. - Certification in Risk Management, ALM, or Data Analytics (FRM, CFA, CRD, etc.) is desirable. - Prior experience working with global banking clients or consulting environment. As a Manager - Data Analyst specializing in Interest Rate Banking Book (IRBB), your role will involve leading end-to-end data analysis for IRBB, including behavioral models, rate sensitivity analysis, and balance sheet risk analytics. You will be responsible for extracting, cleansing, and analyzing large datasets from multiple banking systems using SQL and other querying tools. Additionally, you will build robust data pipelines to ensure data accuracy, completeness, and regulatory compliance for IRBB reporting. Your support to modeling teams will include providing high-quality datasets, performing back-testing, trend analysis, and reconciliation checks, as well as translating business and regulatory requirements into technical data specifications. Collaboration with stakeholders across risk, treasury, finance, and technology will be essential to implement process improvements in IRBB data processes. Identifying data-quality issues, performing root-cause analysis, and driving remediation initiatives will also be part of your responsibilities. Lastly, you will prepare dashboards, analytical reports, and presentations for senior management, mentor junior analysts, and support team-wide data governance initiatives. Key Responsibilities: - Lead end-to-end data analysis for IRBB, including behavioral models, rate sensitivity analysis, and balance sheet risk analytics. - Extract, cleanse, and analyze large datasets using SQL and other querying tools. - Build data pipelines to ensure data accuracy, completeness, and regulatory compliance. - Support modeling teams by providing high-quality datasets, performing back-testing, trend analysis, and reconciliation checks. - Translate business and regulatory requirements into technical data specifications. - Collaborate with stakeholders to implement improv

Role Overview: You will be a Business System Analyst with a data warehousing background and deep expertise in ETL, SQL, and exceptional stakeholder management skills. Your primary responsibility will be to bridge the gap between business needs and technical solutions, ensuring clear communication and effective coordination across teams. Key Responsibilities: - Collaborate with business stakeholders to gather, analyze, and document requirements. - Translate business needs into detailed functional and technical specifications. - Work closely with data engineering and BI teams to support data warehouse initiatives. - Facilitate workshops, meetings, and walkthroughs to ensure alignment between business and technical teams. - Develop and maintain process flows, use cases, and requirement traceability matrices. - Support testing and validation of solutions to ensure they meet business expectations. - Act as a liaison between business users and IT teams throughout the project lifecycle. Qualifications Required: - 9+ years of experience as a Business System Analyst or similar role. - Strong background in data warehousing, including understanding of ETL processes and dimensional modeling. - Excellent stakeholder management and interpersonal skills. - Strong communication and coordination abilities across cross-functional teams. - Proven experience in converting business requirements into technical documentation. - Familiarity with SQL and data analysis tools. - Experience working in Agile or hybrid project environments. Role Overview: You will be a Business System Analyst with a data warehousing background and deep expertise in ETL, SQL, and exceptional stakeholder management skills. Your primary responsibility will be to bridge the gap between business needs and technical solutions, ensuring clear communication and effective coordination across teams. Key Responsibilities: - Collaborate with business stakeholders to gather, analyze, and document requirements. - Translate business needs into detailed functional and technical specifications. - Work closely with data engineering and BI teams to support data warehouse initiatives. - Facilitate workshops, meetings, and walkthroughs to ensure alignment between business and technical teams. - Develop and maintain process flows, use cases, and requirement traceability matrices. - Support testing and validation of solutions to ensure they meet business expectations. - Act as a liaison between business users and IT teams throughout the project lifecycle. Qualifications Required: - 9+ years of experience as a Business System Analyst or similar role. - Strong background in data warehousing, including understanding of ETL processes and dimensional modeling. - Excellent stakeholder management and interpersonal skills. - Strong communication and coordination abilities across cross-functional teams. - Proven experience in converting business requirements into technical documentation. - Familiarity with SQL and data analysis tools. - Experience working in Agile or hybrid project environments.

As a skilled Data Engineer with 6 to 8 years of experience, your role will involve designing, building, and maintaining data pipelines and data models to support analytical and business intelligence needs. Your expertise in Python or SQL, Google Cloud Platform (GCP), and strong understanding of data management, quality, and security best practices will be key in this position. Key Responsibilities: - Build and maintain moderately complex data pipelines, ensuring data flow, transformation, and usability for analytical projects. - Design and implement data models, optimizing for performance and scalability. - Apply knowledge of data characteristics and supply patterns to develop rules and tracking processes that support data quality models. - Prepare data for analytical use by gathering, integrating, cleansing, and structuring data from multiple sources and systems. - Perform design, creation, and interpretation of large and highly complex datasets. - Troubleshoot pipeline and data issues to ensure accuracy and reliability. - Stay up-to-date with GCP advancements and recommend innovative solutions. - Implement security best practices within data pipelines and cloud infrastructure. - Collaborate with global teams to share and adopt best practices in data management, maintenance, reporting, and security. - Develop and execute data quality checks to ensure consistency and integrity. - Work with credit data products and perform analysis using tools like Google BigQuery, BigTable, DataFlow, and Spark/PySpark. Mandatory Skills: - Python or SQL Proficiency: Experience with Python or SQL and intermediate scripting for data manipulation and processing. - GCP & Cloud Fundamentals: Intermediate understanding and experience with Google Cloud Platform (GCP) and overall cloud computing concepts. - Data Pipeline Construction: Proven ability to build, maintain, and troubleshoot moderately complex pipelines. - Data Modeling & Optimization: Experience designing and optimizing data models for performance. - Data Quality Governance: Ability to develop rules, tracking processes, and checks to support a data quality model. - Data Preparation & Structuring: Skilled in integrating, consolidating, cleansing, and structuring data for analytical use. - Security Implementation: Knowledge of security best practices in pipelines and cloud infrastructure. - Big Data Analysis Tools: Hands-on experience with Google BigQuery, BigTable, DataFlow, Scala + Spark or PySpark. - Advanced Data Formats: Experience working with JSON, AVRO, and PARQUET formats. - Communication & Best Practices: Strong communication skills to promote global best practices and guide adoption. Preferred Qualifications: - Cloud certification (e.g., GCP Data Engineer, AWS, Azure). - Experience with credit data products. - Familiarity with data governance frameworks and metadata management tools. Technical Skills: Python | SQL | GCP | BigQuery | BigTable | DataFlow | Spark / PySpark | JSON | AVRO | PARQUET As a skilled Data Engineer with 6 to 8 years of experience, your role will involve designing, building, and maintaining data pipelines and data models to support analytical and business intelligence needs. Your expertise in Python or SQL, Google Cloud Platform (GCP), and strong understanding of data management, quality, and security best practices will be key in this position. Key Responsibilities: - Build and maintain moderately complex data pipelines, ensuring data flow, transformation, and usability for analytical projects. - Design and implement data models, optimizing for performance and scalability. - Apply knowledge of data characteristics and supply patterns to develop rules and tracking processes that support data quality models. - Prepare data for analytical use by gathering, integrating, cleansing, and structuring data from multiple sources and systems. - Perform design, creation, and interpretation of large and highly complex datasets. - Troubleshoot pipeline and data issues to ensure accuracy and reliability. - Stay up-to-date with GCP advancements and recommend innovative solutions. - Implement security best practices within data pipelines and cloud infrastructure. - Collaborate with global teams to share and adopt best practices in data management, maintenance, reporting, and security. - Develop and execute data quality checks to ensure consistency and integrity. - Work with credit data products and perform analysis using tools like Google BigQuery, BigTable, DataFlow, and Spark/PySpark. Mandatory Skills: - Python or SQL Proficiency: Experience with Python or SQL and intermediate scripting for data manipulation and processing. - GCP & Cloud Fundamentals: Intermediate understanding and experience with Google Cloud Platform (GCP) and overall cloud computing concepts. - Data Pipeline Construction: Proven ability to build, maintain, and troubleshoot moderately complex pipelines. - Data Modeling & Optimization: Experience designing and optimizing data model