72015 Processing Jobs - Page 22

Location: Remote (India-based) Hours: 7:30 PM – 3:30 AM IST (40 hours/week) We are seeking an experienced Senior .NET Developer with extensive AWS and DevOps expertise to lead critical troubleshooting, incident response, and system maintenance efforts. This role requires deep technical knowledge, strategic problem-solving, and the ability to guide processes and best practices while working in a high-pressure, client-facing environment. Must-Have Technical Expertise: Advanced AWS Troubleshooting & Maintenance : Proficient in resolving complex AWS infrastructure issues, including container management, networking, permissions, and performance tuning. Enterprise-Level .NET Development : Proven track record in architecting, building, optimizing, and maintaining .NET applications for large-scale systems. Python for Automation & Integration : Ability to develop robust scripts for automation, data processing, and integration tasks. Infrastructure as Code (IaC) : Expertise with AWS CDK (or equivalent) for managing scalable and repeatable cloud environments. Kubernetes (K8s) : Advanced deployment strategies, scaling, upgrades, and troubleshooting in production clusters. DevOps Toolchain : Hands-on experience with Harness (deployments), Dynatrace (observability), Wiz (security), and other modern CI/CD platforms. Application Security : Strong knowledge of Veracode or similar tools, implementing security scanning and remediation best practices. Complex Log Analysis & Root Cause Identification : Skilled in tracking down elusive, high-impact issues. Release Management Leadership : Designing, refining, and integrating release workflows into client environments. Key Responsibilities Lead P1 incident response in a 24/7/365 support rotation , ensuring rapid resolution and minimal downtime. Oversee troubleshooting of complex AWS and application-level issues. Direct and implement software maintenance, from bug fixes and patches to security hardening. Own and evolve IaC configurations, deployment pipelines, and environment setups. Drive improvements in observability, monitoring, and system health tracking. Establish and enforce documentation standards for technical and process knowledge. Collaborate with client teams to refine release strategies and integrate DevOps best practices. Required Soft Skills Exceptional English communication skills (written & verbal) for leadership and client interaction. Composure and clarity when managing high-pressure, high-impact situations. Strategic problem-solving with minimal supervision. Leadership in documentation and knowledge-sharing to uplift the entire team. Ability to influence and guide client technical decisions.

Job description: Employment Type: Full-Time Experience: 2 to 5 Years Location: Navi Mumbai (Local Candidates Preferred) CTC: 5-8 Years: Up to ₹7.5 LPA (Based on skills and performance) Job Summary: We are looking for an experienced Oracle PLSQL Developer to design, develop, and maintain Oracle applications and reports. The ideal candidate should have strong expertise in SQL, PL/SQL, Oracle Forms 11g/12c, Reports 11g/12c, and performance tuning, with a focus on delivering robust and scalable solutions. Key Responsibilities: Develop, enhance, and maintain Oracle Forms 11g/12c and Reports 11g/12c. Write and optimize complex SQL queries, joins, stored objects, triggers, and functions. Develop and manage PL/SQL procedures, functions, triggers, packages, and cursors. Implement Exception Handling and various Cursor types effectively for robust application performance. Work with UTL packages for file handling, email processing, etc. Execute DML operations and manage data manipulation requirements. Perform ETL activities, including data extraction, transformation, and loading between systems. Collaborate with teams to implement integrations via Oracle Fusion Middleware. Conduct SQL performance tuning and query optimization to enhance application efficiency. Troubleshoot, debug, and resolve application issues in a timely manner. Required Skills: Strong hands-on experience with Oracle Forms 11g/12c and Reports 11g/12c. Proficiency in SQL Query writing, Stored Objects, Joins, and Triggers. Sound knowledge of PL/SQL including functions, procedures, exception handling, and cursor usage. Experience with UTL packages (UTL_FILE, UTL_MAIL, etc.). Practical understanding of DML statements and database operations. Exposure to ETL processes and data migration activities. Familiarity with Oracle Fusion Middleware is desirable. Strong SQL Tuning and performance optimization skills. Qualifications: Bachelor's Degree in Computer Science, IT, or related discipline. Oracle certifications are an advantage. Desired Attributes: Problem-solving mindset with attention to detail. Ability to handle complex application requirements independently. Good communication and documentation skills. Team player with a willingness to learn and grow. Job Type: Full-time Pay: ₹500,000.00 - ₹750,000.00 per year Ability to commute/relocate: Navi Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Experience: PL/SQL: 5 years (Required) Work Location: In person

Position : Data Scientist Startup : NPPD CARE Location : Remote Compensation : Equity Only Commitment : Part-time (20–25 hours/week) About NPPD CARE NPPD CARE is building end-to-end IT + AI + data solutions for hospitals, gyms, and the wellness industry — with a special focus on tier-2 and tier-3 cities where tech adoption is still low but the potential is massive. We’re offering our tech stack for free initially, monetizing via partners, referrals, and performance-based channels. In parallel, we’re developing a B2C wellness intelligence platform that brings together 12 verticals of wellness , powered by intelligent AI/data tools that talk to each other. Role Overview We’re looking for a Data Scientist who can help us design, develop, and deploy data-driven solutions for both our B2B hospital/gym platforms and B2C wellness intelligence system . You’ll be working with real-world health, wellness, and operations data to extract insights, build models, and shape AI-powered features. Key Responsibilities Work with cross-functional teams to understand business needs and translate them into data-driven solutions Collect, clean, and preprocess large datasets from diverse sources (hospital records, gym data, wearable devices, wellness tracking tools, etc.) Build predictive and prescriptive models for health, wellness, and operational optimization Implement data visualization dashboards for internal and external stakeholders Collaborate with product and AI teams to integrate models into live systems Develop and maintain data pipelines and scalable architecture Research and apply latest AI/ML techniques relevant to healthcare and wellness Requirements Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, etc.) Solid experience with SQL/NoSQL databases and data pipelines Hands-on experience in building and deploying ML models Knowledge of data visualization tools (Tableau, Power BI, Plotly, etc.) Strong understanding of statistics, probability, and machine learning concepts Ability to work independently in an early-stage startup environment Nice To Have Experience in healthcare or wellness data Knowledge of NLP for medical/wellness text processing Familiarity with IoT data or wearable device integrations Exposure to AI ethics and data privacy compliance (HIPAA, GDPR, etc.) What You Get Founding team equity stake Opportunity to work on impactful healthcare and wellness solutions in underserved markets Freedom to experiment and innovate in AI/data applications A leadership role in shaping the company’s data strategy Skills: statistics,tensorflow,numpy,python,tableau,probability,pandas,machine learning,nlp,data visualization,nosql,data pipelines,aiml,sql,power bi,pytorch,data,scikit-learn,plotly

About the Company : Mercans is a Global Payroll and SaaS Company. We offers a broad range of services that support businesses in streamlining their workforce management, end to end payroll processing and ensuring compliance across various international markets. About the Role : We're looking for "Sr. Product Manager - Payroll & Integration" , it's a fully remote opportunity. The Senior Product Manager (SPM) at Mercans plays a pivotal role in driving the vision, development, and delivery of key modules within the global payroll SaaS platform. The SPM leads strategic product planning, execution, and continuous improvement across assigned domains, ensuring alignment with business goals, customer needs, compliance requirements, and market trends. In this senior leadership capacity, the SPM translates vision into outcomes—owning roadmaps, defining innovative and differentiated product features, driving product-led growth, and collaborating across Product, Engineering, Compliance, Operations, Business Development, and Support. The role is essential to building a scalable, secure, and intelligent platform that supports Mercans’ global expansion and industry leadership in payroll SaaS. Must Haves : Experience: 10 - 22 years of experience into Core Payroll Product Management or Multi-Country Payroll Product Integration. Work Location: Anywhere (As it's a Remote Opportunity) We are specifically looking for candidates from Payroll Outsourcing OR from Payroll SaaS based companies. Minimum Requirements: ● Deep knowledge of global payroll processes, including gross-to-net calculations, statutory configuration, regulatory compliance, and localization across multiple jurisdictions. ● Proven experience delivering compliance-sensitive product features across globally distributed platforms, including coordination with cross-functional teams (Compliance, QA, Security, Engineering). ● Strong technical proficiency in APIs, modular architecture, platform scalability, and data integration strategies with systems such as HRIS, ERP, and WFM. ● Demonstrated expertise in Agile product development, including backlog management, epic/story creation, sprint planning, and roadmap ownership. ● Ability to translate business and compliance requirements into scalable, customer-centric product solutions with traceable outcomes. Key Responsibilities: ● Own the product vision, roadmap, and delivery strategy for assigned verticals, ensuring alignment with business objectives, customer priorities, and market trends. ● Analyze market trends, emerging technologies, competitive offerings, and customer feedback to identify product gaps and innovation opportunities. ● Define and deliver unique, forward-looking features that serve as clear unique selling points (USPs) and enhance Mercans’ market positioning. ● Analyze market trends, emerging technologies, competitive offerings, and customer feedback to identify product gaps and innovation opportunities. ● Define and deliver unique, forward-looking features that serve as clear unique selling points (USPs) and enhance Mercans’ market positioning. ● Collaborate with Customer Success/BAU Managers (CSMs) to ensure successful feature onboarding, usage optimization, and value realization. ● Participate in QBRs, onboarding workshops, and strategic client conversations to align roadmaps with client outcomes. ● Define product features and APIs to support white-label clients, resellers, and channel partners. ● Deliver integration toolkits, configuration documentation, and reusable interface specifications to support scalable partner implementations. ● Collaborate with Operations and Support teams to align product features with real-world delivery processes. ● Identify product-led solutions to reduce onboarding effort, eliminate manual configuration errors, and streamline client setup. ● Ensure statutory compliance across all jurisdictions supported by the platform, including delivery of legal updates and localization features. ● Maintain audit-readiness documentation for ISO/SOC requirements, including traceability of requirements, QA artifacts, and release history ● Lead ideation and delivery of AI/ML-powered features such as predictive payroll error detection, intelligent configuration recommendations, and fraud monitoring. ● Partner with Data Science and Engineering to validate models, build MVPs, and track feature outcomes in production. ● Define product success metrics including usage, adoption, retention, task completion time, and operational savings. ● Collaborate with Analytics teams to track real-time performance dashboards and provide post-release outcome reports to stakeholders.

Good understanding of the Hadoop Ecosystem, Spark, and Cloudera. Should worked on NoSQL databases like Mongo DB, Document DB, and Graph Databases. Must have experience in building data pipeline for real time streaming data and data analytics using azure cloud components like Azure Data Factory, Graph DB, Azure ML studio, Azure stream analytics. Good understanding of Data Architect with experience in architecture, application design, and systems engineering, while implementing automation and agile methodologies. Skilled in collaborating with business stakeholders to align data pipelines with business requirements, design data models, and optimize queries. Practical understanding of Data Modelling (Dimensional & Relational). Experience working with Azure and AWS cloud services. Design and installation of data processing pipelines and migration of existing Data warehouse systems. Understanding of working with CI/CD using tools like Jenkins, GitHub, or Azure DevOps. Designed and developed the Asset Management Knowledge Graph. Re-designed some parts of our legacy application to make it cloud-ready. Develop template loaders for Enterprise Asset Management. Implement data import jobs to ingest large volume of data into our application from multiple sources. Skills: Tools: MongoDB, IBM DB2, Hashicorp Vault, Amazon S3, New Relic, Docker, Airflow, Neo4j Programming Languages /Frameworks: Java, Spring Boot, JavaScript, ReactJS

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Career FamilyTechOps – Technology Consulting Role TypeGuidewire Support Engineer The opportunity As a Guidewire Claims Support Engineer, you will be responsible for developing, implementing & supporting solutions within the Guidewire Claims Management module. In addition, you will engage in maintenance and support activities to fix production issues. You will work closely with business analysts, project managers, and other developers to ensure that our claims processing systems are efficient, effective, and aligned with business objectives. Your Key Responsibilities Design, build, support & Defect fixing. Performce Root Cause Analysis and provide fixes Enhancements and code changes Manage the integration of Guidewire software with other external systems Design, modifies and implements Guidewire product suite Proactive monitoring Must be flexible to work in shifts (Rotational Shift – India Shift, US Shift) and On Call Support on a roster-ed rotational basis. Manages the middleware applications which has various interfaces including Guidewire system (preferable). Skills And Attributes For Success Deep understanding of Guidewire framework Claim Centre, implementation, architecture and components. Must have experience in GuideWire Claim Center 9.0 version+ (Cloud Certified- Associate or ACE) Well versed in development streams - Configuration/Integration/Both Strong knowledge in Guidewire platform (Gosu scripting / UI / Data Model) Implementation of Rules (including UI Validation) using GOSU scripting. Metadata Configuration of Rules (including UI Validation). Integration with External Systems and Guidewire Platform supported integration techniques. Working knowledge of Core Java, J2EE, XML, Web Services (SOAP/REST), ANT Strong in SQL, Spring, Hibernate, Castor, any Enterprise Messaging System Should have strong knowledge and experience on Tomcat and or Websphere/WebLogic Real time knowledge and experience on enterprise system integration, preferably from Insurance domain background. Experience in Insurance domain, preferably in Property & Casualty. Should have understanding and experience of software development best practices. Excellent business communication skills Excellent leadership skills Prior Client facing experience Experience with tools like Service-now, JIRA, soap-ui, eclipse IDE, SVN, Jenkins. Understand service management and change management activities, along with SLAa and estimator tools. Have exposure to working in shifts and on-call support. Should have worked on incident management and problem management. To qualify for the role, you must have 5-8 years of work experience in Guidewire product Graduation or equivalent degree Experience in production support Ideally, you’ll also have Application Maintenance & Support experience Exposure to tools like ServiceNow, ALM etc What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 140 + professionals to excel in Managed Services Support Opportunities to work with EY Adv-PI ASMS practice globally with leading businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Designation: Manager - Data Scientist Preferred Experience: 9 - 12 years Preferred Qualifications Bachelor’s or Advanced degree (Master’s or Ph.D.) in Mathematics, Computer Science,Engineering, or a related field with a strong foundation in data science and machine learning 9+ years of hands-on Data Science experience with a proven record of independently deploying complex projects to production Expertise in predictive modeling, deep learning, advanced analytics, and the mathematical and statistical foundations of machine learning Exceptional Python coding skills and proficiency in SQL and relational databases (e.g.,MySQL, PostgreSQL) Extensive experience in Big Data technologies, cloud platforms, and developing custom algorithmic solutions beyond off-the-shelf models Understanding of AI ethics, governance, risk management, and compliance (GRC) standards Strong leadership and communication skills, with the ability to engage with stakeholders at all levels and manage cross-functional relationships Willingness to travel to the MENA region based on business needs Responsibilities Lead and execute end-to-end data science projects, from conception to deployment, ensuring alignment with business objectives and timely delivery Collaborate with business stakeholders to define and scope data science initiatives that address complex challenges and drive value creation Implement and oversee data engineering for ML projects, including data extraction, validation, cleansing, processing, modeling and storage Analyze and interpret complex data sets to uncover trends and insights utilizing advanced visualization tools to communicate findings to the stakeholders Apply and refine advanced machine learning algorithms and methods best suited to solve specific business problems Maintain high standards of code quality and lead the engagements in adopting best practices in machine learning development Formulate and execute the organization's AI strategy, incorporating the latest industry trends and ethical considerations Develop AI governance frameworks to promote responsible use of AI technologies Lead collaboration efforts with other team members and departments to achieve data science outcomes and manage multiple strategic initiatives Mentor and develop junior members of the team, fostering a culture of continuous learning and innovation EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Designation: Manager - Data Scientist Preferred Experience: 9 - 12 years Preferred Qualifications Bachelor’s or Advanced degree (Master’s or Ph.D.) in Mathematics, Computer Science,Engineering, or a related field with a strong foundation in data science and machine learning 9+ years of hands-on Data Science experience with a proven record of independently deploying complex projects to production Expertise in predictive modeling, deep learning, advanced analytics, and the mathematical and statistical foundations of machine learning Exceptional Python coding skills and proficiency in SQL and relational databases (e.g.,MySQL, PostgreSQL) Extensive experience in Big Data technologies, cloud platforms, and developing custom algorithmic solutions beyond off-the-shelf models Understanding of AI ethics, governance, risk management, and compliance (GRC) standards Strong leadership and communication skills, with the ability to engage with stakeholders at all levels and manage cross-functional relationships Willingness to travel to the MENA region based on business needs Responsibilities Lead and execute end-to-end data science projects, from conception to deployment, ensuring alignment with business objectives and timely delivery Collaborate with business stakeholders to define and scope data science initiatives that address complex challenges and drive value creation Implement and oversee data engineering for ML projects, including data extraction, validation, cleansing, processing, modeling and storage Analyze and interpret complex data sets to uncover trends and insights utilizing advanced visualization tools to communicate findings to the stakeholders Apply and refine advanced machine learning algorithms and methods best suited to solve specific business problems Maintain high standards of code quality and lead the engagements in adopting best practices in machine learning development Formulate and execute the organization's AI strategy, incorporating the latest industry trends and ethical considerations Develop AI governance frameworks to promote responsible use of AI technologies Lead collaboration efforts with other team members and departments to achieve data science outcomes and manage multiple strategic initiatives Mentor and develop junior members of the team, fostering a culture of continuous learning and innovation EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Would you like to help enrich the lives of learners around the world? RM India (RM Education Solutions India Private Limited) is the India Delivery Center for UK based RM Plc. A leading supplier of technology and resources to the education sector, RM India helps deliver great education products and services that help teachers to teach and learners to learn. Our mission is to achieve growth by improving life chances of people. At RM India, we are driven by the potential of our business to touch lives and shape the future. RM Plc have been pioneers of education technology since 1973. We provide technology and resources to the education sector supporting over 10 million students around the world. We work with 28,000 schools, nurseries, and education trusts in 115 countries to deliver customer-centric solutions that improve education outcomes worldwide. RM is a leading supplier of technology and resources to the education sector, supporting schools, teachers, and pupils across the globe. What we do helps learners at all stages of their lives, from preschool to higher education and professional qualification, we partner with schools, examination boards, central governments and other professional institutions, to enrich the lives of learners. RM Group operates through three businesses: Technology (Managed Services, Software and Infrastructure for Schools), Assessment (Software and Services) and TTS (Education Resour ces). Visit us here to find out more: www.rmindia.co.in Responsibilities Key Responsi bilities Handling all cash transactions Data the entry of day-to-day transactions Processing of Vendor Invoices Preparation of Bank Reconciliation Statements Necessary support to Internal / External Auditors Maintenance of Records /Documents Experience Experience: -Should be a Commerce graduate with less than 1 years of experience in Accounting. Mandatory skills Sound knowledge in Financial Accounting Working knowledge of Computerized Accounting / ERP Good knowledge of Microsoft Office, particularly Excel Good communication skills Accuracy and attention to detail Must be a team player, energetic with a positive attitude Willing to work flexible hours Desired skills Prior work experience with MNCs will be an added advantage What's in it for you? At RM My Work Blend @RM provides office-based colleagues with multi location and hybrid working options to suit them. As well as your office base, you can spend a proportion of your time working at alternative locations, and with flexibility of hours, as appropriate to the role. We encourage you to discuss arrangements for this role with your potential line manager during the recruitment process. We expect how we make best use of hybrid working may continue to adapt as we adjust to our new ways of working. As well as a competitive salary our core benefits package includes Group Health Insurance, Group Personal Accident, Group Term Life Insurance, Doctor consultation reimbursement, annually, Medical reimbursement, monthly/Qtry/Annual Rewards & Recognition program, Annual Salary Review & Bonus payouts, Children’s Education Assistance Subsidy, Summer Vacation Scheme, Staff Children Engagement Programme, Knowledge Acquisition Subsidy, Transportation Subsidy, Birthday & Marriage gifts and Subsidized Technopark Club Membership. RM India also has a comprehensive Rewards & recognition program to recognize and reward employees. You could even earn yourself an extra bonus for successfully recommending a friend or family member for a position within RM. To better reflect the society that we serve, we’re committed to building a diverse workforce and creating an inclusive and welcoming environment for all. To achieve this, we create teams of talented people from different backgrounds and experiences and strive to be a business where our people can bring their whole selves to work, we also want to make the recruitment process as inclusive as possible for everyone. Should you require additional support with your application or through the interview process, please contact us at talent@in.rm.com

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Career FamilyTechOps – Technology Consulting Role TypeGuidewire Support Engineer The opportunity As a Guidewire Claims Support Engineer, you will be responsible for developing, implementing & supporting solutions within the Guidewire Claims Management module. In addition, you will engage in maintenance and support activities to fix production issues. You will work closely with business analysts, project managers, and other developers to ensure that our claims processing systems are efficient, effective, and aligned with business objectives. Your Key Responsibilities Design, build, support & Defect fixing. Performce Root Cause Analysis and provide fixes Enhancements and code changes Manage the integration of Guidewire software with other external systems Design, modifies and implements Guidewire product suite Proactive monitoring Must be flexible to work in shifts (Rotational Shift – India Shift, US Shift) and On Call Support on a roster-ed rotational basis. Manages the middleware applications which has various interfaces including Guidewire system (preferable). Skills And Attributes For Success Deep understanding of Guidewire framework Claim Centre, implementation, architecture and components. Must have experience in GuideWire Claim Center 9.0 version+ (Cloud Certified- Associate or ACE) Well versed in development streams - Configuration/Integration/Both Strong knowledge in Guidewire platform (Gosu scripting / UI / Data Model) Implementation of Rules (including UI Validation) using GOSU scripting. Metadata Configuration of Rules (including UI Validation). Integration with External Systems and Guidewire Platform supported integration techniques. Working knowledge of Core Java, J2EE, XML, Web Services (SOAP/REST), ANT Strong in SQL, Spring, Hibernate, Castor, any Enterprise Messaging System Should have strong knowledge and experience on Tomcat and or Websphere/WebLogic Real time knowledge and experience on enterprise system integration, preferably from Insurance domain background. Experience in Insurance domain, preferably in Property & Casualty. Should have understanding and experience of software development best practices. Excellent business communication skills Excellent leadership skills Prior Client facing experience Experience with tools like Service-now, JIRA, soap-ui, eclipse IDE, SVN, Jenkins. Understand service management and change management activities, along with SLAa and estimator tools. Have exposure to working in shifts and on-call support. Should have worked on incident management and problem management. To qualify for the role, you must have 5-8 years of work experience in Guidewire product Graduation or equivalent degree Experience in production support Ideally, you’ll also have Application Maintenance & Support experience Exposure to tools like ServiceNow, ALM etc What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 140 + professionals to excel in Managed Services Support Opportunities to work with EY Adv-PI ASMS practice globally with leading businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Role Description Role Proficiency: We are seeking a skilled and motivated Mainframe Engineer with 3–5 years of experience to join our team. The ideal candidate should have strong expertise in mainframe technologies and a solid understanding of database and job control systems. Experience with modern integrations such as z/OS Connect and WebSphere MQ is a plus. Key Responsibilities Develop, maintain, and support mainframe-based applications and systems. Work with ISPF/PDF to navigate and manage datasets. Write and optimize SQL queries for DB2 and manage VSAM datasets. Develop and debug JCL scripts and manage job scheduling using OPCE. Use SELCOPY / Syncsort for data manipulation and processing. Collaborate with cross-functional teams to resolve system issues. Contribute to performance tuning, system upgrades, and enhancements. Technical Skills – Mandatory Mainframe technologies ISPF / PDF DB2 and SQL VSAM data management JCL / OPCE SELCOPY / Syncsort Technical Skills – Desired z/OS Connect WebSphere MQ CICS Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. 4–5 years of relevant experience in a mainframe engineering role. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Skills Mainframe,Db2,Jcl,VSAM Data Management

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About BNP Paribas Group BNP Paribas Group is a leading European bank with a strong global footprint across 72 markets and more than 202,000 employees. The Group provides corporates, institutional and private investors with product and service solutions tailored to their specific needs. It offers a wide range of financial services covering corporate & institutional banking, wealth management, asset management, insurance, as well as retail banking and consumer financing through strategic partnerships”. About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas Group, a leading bank in Europe with an international reach. With delivery centers located in Mumbai and Chennai, we are a 24x7 global delivery center. We partner various business lines of BNP Paribas such as Corporate and Institutional Banking, Wealth Management, Retail Banking through three verticals - Information Technology, Operations and Finance Shared Services. About Business Line/Function Wealth Management Operations in ISPL started in 2018, provide back office services for BNP WM Singapore, Hong Kong and Taiwan. Processes include Security Custody Services, Remittances, Loans and Deposits and Security Masterfile Job Title Bonds Settlement – Inputter / Analyst Corresponds to Controller Date 1st August 2025 Department Wealth Management Operations ISPL Location: BNP Paribas India Solutions Private Limited (ISPL),Mumbai Business Line / Function Wealth Management Reports To (Direct) Head of SCS / Bonds & Structured Notes Grade (if applicable) (Functional) Number Of Direct Reports NA Directorship / Registration NA Position Purpose Direct contribution to BNPP operational permanent control framework Comply with regulatory requirements and internal guidelines Contribute to the reporting of all incidents according to the Incident Management System Trade processing for Bonds and Structured Notes Responsibilities Ensure timely processing of Bonds, Structured Notes, and exercise of Precious Metals Options. Matching, sorting and verifying of trades confirmations against trader’s daily blotters and trade inputs by RM/MA. Ensure proper management approval is obtained for special waivers and update waiver file accordingly. Liaise with brokers/dealers/Front Office and DPM in the event of non-receipt of confirmations/ trade discrepancies. Monitor and ensure prompt follow-up of late / failed trades, update reasons in late deals / failed trade report, notify AD of failed trade, and FO on SD+4 if it remains unresolved since SD. Ensure accurate and timely update of trades in Olympic for both bank and client positions. Monitoring and ensure prompt funding of nostro / custodian accounts and prompt payment of monthly custodian charges Attending queries from Front Office, Advisory Desk, and counterparties. Distribution of daily reports. Ensure procedures and control measures are strictly adhered to. Ensure spread charged should not exceed the monetary benefits stipulated in the “Disclosure of Sales Related Information” and inconsistent charges to be followed up. Ensure counterparties' (ie. custodians and brokers) details eg. contact numbers, settlement and remittance details etc. are properly updated and disseminated Ensure procedures and control measures are strictly adhered to. Follow-up and resolve nostro / securities reconciliation breaks and follow up on interest claims for failed trades. Inform management of error trades and monitor receipt of incident report. Perform and participate in UAT and ad hoc projects Participate in BCP documentation / drills and be up-dated on BCP drills/activation. Back up for Bonds Inputters. Technical & Behavioral Competencies Fluent in English (spoken and written). Excellent communication and interpersonal skills. Should possess strong fundamental and technical skills. Excellent PC skills, especially in Excel. Able to work under pressure and exhibits strong problem solving skills. Specific Qualifications (if Required) 0-2 years of relevant working experience Bachelor’s level degree or professional qualification Skills Referential Behavioural Skills: (Please select up to 4 skills) Ability to collaborate / Teamwork Attention to detail / rigor Client focused Adaptability Transversal Skills: (Please select up to 5 skills) Ability to develop and adapt a process Ability To Develop Others & Improve Their Skills Analytical Ability Ability to understand, explain and support change Choose an item. Education Level Bachelor Degree or equivalent Experience Level Beginner

Job Title: Accounts Intern Location: Thane / Mumbai Reporting To: Accounts Manager / Finance Lead Duration: 3 to 6 months (with possibility of full-time offer) Stipend: As per company policy Timings : 10am - 7pm About the Role: We are seeking a motivated and detail-oriented Accounts Intern to support the daily financial operations of Union Living. This internship offers a hands-on learning experience in a fast-paced startup environment and is ideal for candidates looking to build a strong foundation in accounting and finance. About Union Living: Union Living is a modern co-living startup focused on providing thoughtfully designed, community-driven accommodation for students and working professionals in Mumbai and Pune. Key Responsibilities: ● Assist in day-to-day bookkeeping and data entry in accounting software (Tally, Zoho Books, etc.) ● Support preparation and processing of invoices, bills, and payment records ● Reconcile bank statements and assist in monthly account closing activities ● Maintain records of accounts receivable and payable ● Assist with GST computation, filings, and documentation ● Help prepare internal reports and support audit requirements ● Coordinate with vendors and internal teams for financial documentation ● Maintain and organize financial records for easy access and compliance Requirements: ● Pursuing or completed B.Com / M.Com / MBA (Finance) or equivalent ● Basic understanding of accounting principles and financial terminology ● Proficient in MS Excel; familiarity with accounting software is a plus ● Good communication skills and attention to detail ● Ability to maintain confidentiality and work with ● A learning mindset with a willingness to take initiative What You’ll Learn: ● Practical exposure to finance operations in a dynamic business ● Knowledge of accounting systems and internal financial processes ● GST and TDS handling in real-world scenarios ● Team collaboration across departments like Sales, HR, and Operations ● Preparation of reports for stakeholders and senior management

Open up! Tired of being just another cog in the machine? Are you looking for a cool and dynamic environment where you can take on responsible and diverse tasks? Then newboxes is the perfect place for you! Join our ambitious team and help shape the future with us! What is newboxes? newboxes is a technical consulting firm specializing in project and process management, digitalization, and engineering for industrial companies. We advise leading corporations like Rolls-Royce, BMW, as well as top mid-sized companies such as Liebherr. Our mission is to help industrial businesses increase their profits and bring technologies to market faster? We aim high—be part of our journey! What awaits you? As a German-speaking accountant at newboxes, you will play a crucial role in managing financial transactions, ensuring compliance with international accounting standards, and facilitating seamless financial operations between India and Germany. Your key responsibilities will include: ★ Managing day-to-day accounting tasks, including accounts payable, accounts receivable, general ledger, and asset accounting. ★ Preparing financial statements, conducting plausibility checks, and processing payment transactions with accuracy and confidentiality. ★ Handling travel expense reports, performing intercompany account reconciliations, and supporting tax compliance. Assisting in the preparation of monthly, quarterly, and annual financial statements in accordance with the German Commercial Code (HGB) and relevant Indian accounting standards. ★ Collaborating with cross-functional teams across India and Germany to ensure financial accuracy and compliance with tax regulations. What You Should Bring to the Table: ✔ A bachelor's/ master's degree in accounting, finance, or commerce, with professional experience in financial accounting. ✔ Strong understanding of both Indian and German accounting standards, tax regulations, and financial reporting requirements ✔ Excellent communication skills in German and English to effectively coordinate with international teams. ✔ Proficiency in MS Outlook, Excel, and a strong aptitude for digital accounting tools and modern financial technologies. ✔ An independent, structured, and detail-oriented working style, with the ability to multitask and manage priorities in a fast-paced, global work environment. This Makes You the Perfect Match: ✔ Proven experience in financial accounting, preferably in an international or multinational company. ✔ Hands-on experience with accounting software such as DATEV, Tally, SAP, or other ERP systems. ✔ Strong knowledge of HGB, Indian accounting practices, and tax laws in both jurisdictions. Why You Should Join Us: ★ A high-performance culture built on responsibility and transparency, where your contributions are truly valued. ★ Internal training programs with various options to continuously enhance your skills and knowledge. ★ A team of A-players who share your enthusiasm for technology and innovation, working together to achieve great things. ★ The freedom to unleash your passion for organization and efficiency—you’ll take on challenging projects and exciting tasks that test your skills and potential. ★ Experienced mentors who willingly share their expertise and support you at eye level. ★ State-of-the-art equipment and a stylish co-working space by in central Pune, providing an inspiring work environment. Next Steps ➡ Say Hi: A short MS Teams interview where you ask questions, we ask questions—just be yourself! ➡ Chemistry Check: We talk about your previous experience, and in return, you get deeper insights into newboxes. ➡ Reality Check: Live and in-person! Join us for a trial day, and by the end of the day, we’ll know if it’s a match! Your digital application Apply via our online portal : Jobs at newboxes GmbH (personio.de) Or email us directly at : career@newboxes.com About Us The Demo Daten GmbH is a fictional company created by Personio to familiarize our customers with our software. frameborder="0">

For more than 40 years, Accelya has been the industry’s partner for change, simplifying airline financial and commercial processes and empowering the air transport community to take better control of the future. Whether partnering with IATA on industry-wide initiatives or enabling digital transformation to simplify airline processes, Accelya drives the airline industry forward and proudly puts control back in the hands of airlines so they can move further, faster. Job Summary The Specialist - Software Development (Artificial Intelligence) is responsible for designing, developing, and implementing AI-driven solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, natural language processing (NLP), and data engineering. The Specialist collaborates with cross-functional teams to deliver AI-powered applications and contributes to advancing the organization’s technological capabilities. Key Responsibilities AI Solution Development Design, develop, and deploy machine learning models and AI algorithms tailored to business requirements. Build and optimize deep learning models using frameworks like TensorFlow, PyTorch, or Keras. Implement natural language processing (NLP) techniques for tasks such as text analysis, sentiment detection, and chatbot development. Data Engineering and Processing Collect, preprocess, and analyze large datasets for training and testing AI models. Ensure data quality, integrity, and compliance with organizational standards. Develop and maintain data pipelines and integration solutions for AI applications. System Integration and Deployment Integrate AI models into production systems using scalable and secure frameworks. Collaborate with software engineers to deploy AI solutions on cloud platforms or on-premise systems. Monitor and optimize the performance of deployed models. Research and Innovation Stay updated with the latest advancements in AI, machine learning, and deep learning. Propose and implement innovative AI solutions to improve existing processes and products. Conduct experiments to evaluate and refine AI models and algorithms. Collaboration and Knowledge Sharing Partner with product teams, business analysts, and stakeholders to understand and align solutions with business goals. Mentor junior team members and share knowledge on AI tools and techniques. Document AI workflows, models, and implementation processes for future reference. Qualifications Education Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. A PhD is a plus. Experience 5+ years of experience in software development with 3+ years focused on AI/ML. Proven track record of developing and deploying AI-based applications in production environments. Technical Skills Strong programming skills in Python, R, or Java. Expertise in machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras. Proficiency in data engineering tools (e.g., Pandas, NumPy, Apache Spark). Familiarity with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers). Knowledge of cloud AI services (e.g., AWS SageMaker, Google AI, Microsoft Azure AI). Experience with databases (SQL and NoSQL) and big data technologies (e.g., Hadoop, Apache Kafka). Soft Skills Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Ability to manage multiple projects and deliver results in a fast-paced environment. Preferred Skills Experience with computer vision technologies (e.g., OpenCV, YOLO, Fast R-CNN). Knowledge of reinforcement learning and generative AI techniques. Familiarity with MLOps practices and tools. Preferred Certifications Google Professional Machine Learning Engineer. Microsoft Certified: Azure AI Engineer Associate. AWS Certified Machine Learning – Specialty. What does the future of the air transport industry look like to you? Whether you’re an industry veteran or someone with experience from other industries, we want to make your ambitions a reality!

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About Us MyRemoteTeam, Inc is a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better. Job Title: SAP PP, VC Consultant Exp: 5+ yrs to 8 yrs Location: Baner, Pune Core Technical Skills: SAP PP (Production Planning) SAP VC (Variant Configuration) – strong experience in creating variant models. SAP SD (Sales & Distribution) – integration experience. SAP MM (Material Management) – integration experience. SAP BOM (Bill of Materials) and Routing – especially “Super BOMs” and “Super Routings”. Pricing configuration in SAP Experience with dependencies, classes, and characteristics in VC. Testing & Documentation: Experience in Unit Testing and Integration Testing of SAP configurations Writing technical documentation, process flows, and training guides. Soft Skills & Communication: Good spoken and written English. Comfortable working with business users and technical teams. Experience in requirement gathering, client communication, or stakeholder collaboration. Participation in daily meetings or Agile practices. Process & Lifecycle Knowledge: Knowledge of change/version control in SAP Experience in Product Lifecycle Management. Responsibilities: • PP-VC Model Development and Configuration: Design and Configuration: Develop and configure variant models to meet business requirements, ensuring products can be tailored based on customer specifications. • Super BOMs and Super Routings: Establish and manage super Bill of Materials (BOMs) and super routings to handle product variants efficiently. • Product Configuration: Configure complex product requirements using characteristics, classes, and dependencies, enabling the flexibility to offer multiple product variants based on customer inputs. Integration with Other SAP Modules: • Integration with SAP SD: Ensure smooth integration between SAP Variant Configuration and the Sales & Distribution module, enabling accurate sales order processing and product pricing. • Integration with SAP MM and PP: Integrate VC with Material Management and Production Planning modules to ensure seamless data flow and ensure that variant-specific products are properly managed across procurement and production processes. • Variant Pricing: Work with the SAP SD module for variant-specific pricing configurations, ensuring that pricing is correctly applied based on product attributes. Change Management and Versioning: • Version Control: Manage and document product changes, ensuring proper versioning for variant-specific configurations and updates. • Product Lifecycle: Oversee the lifecycle of product variants, including the introduction of new variants, changes to existing configurations, and discontinuation of obsolete versions. Testing and Validation: • Unit and Integration Testing: Conduct thorough testing of configurations, ensuring that variant models work as intended and integrate seamlessly with other SAP modules. • Troubleshooting: Identify and resolve issues in the SAP PP-VC setup, ensuring that system errors related to configuration or integration are addressed promptly. Documentation and Reporting: Documentation: Create and maintain configuration documents, process flows, technical specifications, and training materials. Reporting: Prepare reports for stakeholders regarding the effectiveness of the configuration, error rates, or any bottlenecks that need attention. Collaboration and Stakeholder Management: Business Stakeholders: Work closely with business stakeholders to gather and understand product requirements, ensuring that the configurations meet business needs. Technical Teams: Collaborate with SAP technical teams for the smooth implementation of the configurations and to address any integration issues with other systems. Third-Party Vendors: If applicable, work with third-party vendors to ensure that external systems and tools integrate correctly with the SAP system, especially when handling complex product configurations. Customization for Specific Industries: Manufacturing and Engineering Domains: Work in specific sectors like manufacturing, automotive, or engineering, where complex product configurations are common, and work on tailoring solutions for those industries. Custom Product Features: Handle customized features for industry-specific products, ensuring thatthe configuration supports a broad range of variations while maintaining operational efficiency. Continuous Improvement: Enhancement and Optimization: Constantly improve the PP-VC system based on feedback, changing business requirements, and new features in SAP. Migration Projects: In some cases, be involved in migration projects (e.g., from SAP ECC to S/4HANA) to upgrade or optimize the PP-VC module and ensure the system aligns with the latest technological advancements.

Role Description Role Proficiency: This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be skilled in ETL tools such as Informatica Glue Databricks and DataProc with coding expertise in Python PySpark and SQL. Works independently and has a deep understanding of data warehousing solutions including Snowflake BigQuery Lakehouse and Delta Lake. Capable of calculating costs and understanding performance issues related to data solutions. Outcomes Act creatively to develop pipelines and applications by selecting appropriate technical options optimizing application development maintenance and performance using design patterns and reusing proven solutions.rnInterpret requirements to create optimal architecture and design developing solutions in accordance with specifications. Document and communicate milestones/stages for end-to-end delivery. Code adhering to best coding standards debug and test solutions to deliver best-in-class quality. Perform performance tuning of code and align it with the appropriate infrastructure to optimize efficiency. Validate results with user representatives integrating the overall solution seamlessly. Develop and manage data storage solutions including relational databases NoSQL databases and data lakes. Stay updated on the latest trends and best practices in data engineering cloud technologies and big data tools. Influence and improve customer satisfaction through effective data solutions. Measures Of Outcomes Adherence to engineering processes and standards Adherence to schedule / timelines Adhere to SLAs where applicable # of defects post delivery # of non-compliance issues Reduction of reoccurrence of known defects Quickly turnaround production bugs Completion of applicable technical/domain certifications Completion of all mandatory training requirements Efficiency improvements in data pipelines (e.g. reduced resource consumption faster run times). Average time to detect respond to and resolve pipeline failures or data issues. Number of data security incidents or compliance breaches. Outputs Expected Code Development: Develop data processing code independently ensuring it meets performance and scalability requirements. Define coding standards templates and checklists. Review code for team members and peers. Documentation Create and review templates checklists guidelines and standards for design processes and development. Create and review deliverable documents including design documents architecture documents infrastructure costing business requirements source-target mappings test cases and results. Configuration Define and govern the configuration management plan. Ensure compliance within the team. Testing Review and create unit test cases scenarios and execution plans. Review the test plan and test strategy developed by the testing team. Provide clarifications and support to the testing team as needed. Domain Relevance Advise data engineers on the design and development of features and components demonstrating a deeper understanding of business needs. Learn about customer domains to identify opportunities for value addition. Complete relevant domain certifications to enhance expertise. Project Management Manage the delivery of modules effectively. Defect Management Perform root cause analysis (RCA) and mitigation of defects. Identify defect trends and take proactive measures to improve quality. Estimation Create and provide input for effort and size estimation for projects. Knowledge Management Consume and contribute to project-related documents SharePoint libraries and client universities. Review reusable documents created by the team. Release Management Execute and monitor the release process to ensure smooth transitions. Design Contribution Contribute to the creation of high-level design (HLD) low-level design (LLD) and system architecture for applications business components and data models. Customer Interface Clarify requirements and provide guidance to the development team. Present design options to customers and conduct product demonstrations. Team Management Set FAST goals and provide constructive feedback. Understand team members' aspirations and provide guidance and opportunities for growth. Ensure team engagement in projects and initiatives. Certifications Obtain relevant domain and technology certifications to stay competitive and informed. Skill Examples Proficiency in SQL Python or other programming languages used for data manipulation. Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF. Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery). Conduct tests on data pipelines and evaluate results against data quality and performance specifications. Experience in performance tuning of data processes. Expertise in designing and optimizing data warehouses for cost efficiency. Ability to apply and optimize data models for efficient storage retrieval and processing of large datasets. Capacity to clearly explain and communicate design and development aspects to customers. Ability to estimate time and resource requirements for developing and debugging features or components. Knowledge Examples Knowledge Examples Knowledge of various ETL services offered by cloud providers including Apache PySpark AWS Glue GCP DataProc/DataFlow Azure ADF and ADLF. Proficiency in SQL for analytics including windowing functions. Understanding of data schemas and models relevant to various business contexts. Familiarity with domain-related data and its implications. Expertise in data warehousing optimization techniques. Knowledge of data security concepts and best practices. Familiarity with design patterns and frameworks in data engineering. Additional Comments We are looking for a Big Data Engineer who will work on building, and managing Big Data Pipelines for us to deal with the huge structured data sets that we use as an input to accurately generate analytics at scale for our valued Customers. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the organization. Core Responsibilities Design, build, and maintain robust data pipelines (batch or streaming) that process and transform data from diverse sources. Ensure data quality, reliability, and availability across the pipeline lifecycle. Collaborate with product managers, architects, and engineering leads to define technical strategy. Participate in code reviews, testing, and deployment processes to maintain high standards. Own smaller components of the data platform or pipelines and take end-to-end responsibility. Continuously identify and resolve performance bottlenecks in data pipelines. Take initiatives, and show the drive to pick up new stuff proactively, and work as a Senior Individual contributor on the multiple products and features we have. Required qualifications 5 to 7 years of experience in Big Data or data engineering roles. JVM based languages like Java or Scala are preferred. For someone having solid Big Data experience, Python would also be OK. Proven and demonstrated experience working with distributed Big Data tools and processing frameworks like Apache Spark or equivalent (for processing), Kafka or Flink (for streaming), and Airflow or equivalent (for orchestration). Familiarity with cloud platforms (e.g., AWS, GCP, or Azure), including services like S3, Glue, BigQuery, or EMR. Ability to write clean, efficient, and maintainable code. Good understanding of data structures, algorithms, and object-oriented programming. Tooling & Ecosystem Use of version control (e.g., Git) and CI/CD tools. Experience with data orchestration tools (Airflow, Dagster, etc.). Understanding of file formats like Parquet, Avro, ORC, and JSON. Basic exposure to containerization (Docker) or infrastructure-as-code (Terraform is a plus). Skills Big Data,Jvm,Microservices

Brief About the Role: The Head- Design & Development will manage a team of 15+ highly experience Design Engineers and work on product development of variety of Accessories, Instruments and Implants. The successful candidate must excel in a fast-paced team environment, and be capable of creative problem solving, when faced with the time pressures and design constraints typical of product development. He or she must have a strong sense of ownership, shared responsibility, commitment to high product quality and be comfortable in collaborating across organizational boundaries. Projects will include a mix of new product development, product improvements, cost savings and manufacturing improvements to enable significant volume growth. Roles and Responsibilities: 1. Design, develop and document components and assemblies for surgical system accessories:  Create product functional and design specifications.  Create, analyze, and test product designs and their components.  Research, understand and design to relevant product specific standards.  Develop, implement, test, and document solutions that meet clinical, functional and product requirements.  Conversant and apply Design for Manufacturing (DFM) and Design for Manufacturing and Assembly(DFMA) concepts.  Optimize the application of GD&T to a feasible DFM, without compromising the engineering requirements to obtain a safe and effective device.  Identification and right selection of materials, suitable for sterilization processes and bio-compatibility.  Support and participate in clinical and human-factor evaluations for new designs or design changes to ensure positive user experiences. 2. Provide mechanical engineering expertise to support continuous production of high-quality surgical accessories to our customers:  Collaborate with the cross functional team to facilitate effective transfer of designs into production.  Work within multi-disciplinary teams to define requirements for new and current designs.  Develop mechanical assemblies, with careful consideration for key functions and safety, while designing for manufacturing-ability, reliability, and cost.  Develop components and product mechanical drawings in a regulated environment.  Design the products using the knowledge of various bio-compatible plastics and their processing efficiency, either in injection molding or in machining, thermoset compression molding, etc.  Conduct the Design Verification and Design Validation per ISO 13485.  Develop Design History Files per FDA requirements.  Contribute to the determination of future product release content. 3. Develop 2D and 3D drawings, and the outputs are preserved as hard and soft copies in a controlled manner, as per the QMS of the organization. 4. Provide technical advice and mentoring to other design engineers. 5. Help establish individual and team goals aligned with overall project and company goals. Desired Education, Skills & Competencies:  BE/BTech in Mechanical Engineering preferably with minimum 2 years certification from CIPET or GTTC or NTTF in Injection Mold Design.  Minimum 15 years of medical products design & Development  Hands-on experience in high precision Product Manufacturing & Design Industry will be preferred.  A passion for solving tough technical problems - strong mechanical intuition and persistence to drill down to pinpoint root cause of problems and solving problems using fundamental principles are desired qualities.  Demonstrated ability to think at a systems level, interface between multiple design groups, and negotiate conflicting requirements.  Proven experience with design for assembly, manufacturing, and automation.  Demonstrated knowledge of materials (including all types of plastics, silicons, isoprene) and material properties.  Ability to apply knowledge of engineering materials and component selection criteria to product designs through strong concept development, design analysis, hands-on prototyping, and reliability testing skills.  Proficiency using CAD to design parts and assemblies and to create specification drawings in a PDM environment; Solidworks, AutoCAD and NX strongly preferred.  Comfortable with all phases of the product development lifecycle including design, implementation, debug, verification, qualification, and transfer.  Comfortable with concepts of design input, design output, traceability, and risk analysis.  Ability to communicate effectively and accurately (written and oral) across all levels and functions, including presenting to a technical audience.  Strong desire to mentor junior engineers and Designers. Job Location: Kundli, Sonipat- Haryana.

About Us MyRemoteTeam, Inc is a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better. Job Title : SAP PP, VC Consultant Exp: 5+ yrs to 8 yrs Location: Baner, Pune Core Technical Skills: SAP PP (Production Planning) SAP VC (Variant Configuration) – strong experience in creating variant models. SAP SD (Sales & Distribution) – integration experience. SAP MM (Material Management) – integration experience. SAP BOM (Bill of Materials) and Routing – especially “Super BOMs” and “Super Routings”. Pricing configuration in SAP Experience with dependencies, classes, and characteristics in VC. Testing & Documentation: Experience in Unit Testing and Integration Testing of SAP configurations Writing technical documentation, process flows, and training guides. Soft Skills & Communication: Good spoken and written English. Comfortable working with business users and technical teams. Experience in requirement gathering, client communication, or stakeholder collaboration. Participation in daily meetings or Agile practices. Process & Lifecycle Knowledge: Knowledge of change/version control in SAP Experience in Product Lifecycle Management. Responsibilities: PP-VC Model Development and Configuration: Design and Configuration: Develop and configure variant models to meet business requirements, ensuring products can be tailored based on customer specifications. Super BOMs and Super Routings: Establish and manage super Bill of Materials (BOMs) and super routings to handle product variants efficiently. Product Configuration: Configure complex product requirements using characteristics, classes, and dependencies, enabling the flexibility to offer multiple product variants based on customer inputs. Integration with Other SAP Modules: Integration with SAP SD: Ensure smooth integration between SAP Variant Configuration and the Sales & Distribution module, enabling accurate sales order processing and product pricing. Integration with SAP MM and PP: Integrate VC with Material Management and Production Planning modules to ensure seamless data flow and ensure that variant-specific products are properly managed across procurement and production processes. Variant Pricing: Work with the SAP SD module for variant-specific pricing configurations, ensuring that pricing is correctly applied based on product attributes. Change Management and Versioning: Version Control: Manage and document product changes, ensuring proper versioning for variant-specific configurations and updates. Product Lifecycle: Oversee the lifecycle of product variants, including the introduction of new variants, changes to existing configurations, and discontinuation of obsolete versions. Testing and Validation: Unit and Integration Testing: Conduct thorough testing of configurations, ensuring that variant models work as intended and integrate seamlessly with other SAP modules. Troubleshooting: Identify and resolve issues in the SAP PP-VC setup, ensuring that system errors related to configuration or integration are addressed promptly. Documentation and Reporting: Documentation: Create and maintain configuration documents, process flows, technical specifications, and training materials. Reporting: Prepare reports for stakeholders regarding the effectiveness of the configuration, error rates, or any bottlenecks that need attention. Collaboration and Stakeholder Management: Business Stakeholders: Work closely with business stakeholders to gather and understand product requirements, ensuring that the configurations meet business needs. Technical Teams: Collaborate with SAP technical teams for the smooth implementation of the configurations and to address any integration issues with other systems. Third-Party Vendors: If applicable, work with third-party vendors to ensure that external systems and tools integrate correctly with the SAP system, especially when handling complex product configurations. Customization for Specific Industries: Manufacturing and Engineering Domains: Work in specific sectors like manufacturing, automotive, or engineering, where complex product configurations are common, and work on tailoring solutions for those industries. Custom Product Features: Handle customized features for industry-specific products, ensuring thatthe configuration supports a broad range of variations while maintaining operational efficiency. Continuous Improvement: Enhancement and Optimization: Constantly improve the PP-VC system based on feedback, changing business requirements, and new features in SAP. Migration Projects: In some cases, be involved in migration projects (e.g., from SAP ECC to S/4HANA) to upgrade or optimize the PP-VC module and ensure the system aligns with the latest technological advancements.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Career FamilyTechOps – Technology Consulting Role TypeGuidewire Support Engineer The opportunity As a Guidewire Claims Support Engineer, you will be responsible for developing, implementing & supporting solutions within the Guidewire Claims Management module. In addition, you will engage in maintenance and support activities to fix production issues. You will work closely with business analysts, project managers, and other developers to ensure that our claims processing systems are efficient, effective, and aligned with business objectives. Your Key Responsibilities Design, build, support & Defect fixing. Performce Root Cause Analysis and provide fixes Enhancements and code changes Manage the integration of Guidewire software with other external systems Design, modifies and implements Guidewire product suite Proactive monitoring Must be flexible to work in shifts (Rotational Shift – India Shift, US Shift) and On Call Support on a roster-ed rotational basis. Manages the middleware applications which has various interfaces including Guidewire system (preferable). Skills And Attributes For Success Deep understanding of Guidewire framework Claim Centre, implementation, architecture and components. Must have experience in GuideWire Claim Center 9.0 version+ (Cloud Certified- Associate or ACE) Well versed in development streams - Configuration/Integration/Both Strong knowledge in Guidewire platform (Gosu scripting / UI / Data Model) Implementation of Rules (including UI Validation) using GOSU scripting. Metadata Configuration of Rules (including UI Validation). Integration with External Systems and Guidewire Platform supported integration techniques. Working knowledge of Core Java, J2EE, XML, Web Services (SOAP/REST), ANT Strong in SQL, Spring, Hibernate, Castor, any Enterprise Messaging System Should have strong knowledge and experience on Tomcat and or Websphere/WebLogic Real time knowledge and experience on enterprise system integration, preferably from Insurance domain background. Experience in Insurance domain, preferably in Property & Casualty. Should have understanding and experience of software development best practices. Excellent business communication skills Excellent leadership skills Prior Client facing experience Experience with tools like Service-now, JIRA, soap-ui, eclipse IDE, SVN, Jenkins. Understand service management and change management activities, along with SLAa and estimator tools. Have exposure to working in shifts and on-call support. Should have worked on incident management and problem management. To qualify for the role, you must have 5-8 years of work experience in Guidewire product Graduation or equivalent degree Experience in production support Ideally, you’ll also have Application Maintenance & Support experience Exposure to tools like ServiceNow, ALM etc What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 140 + professionals to excel in Managed Services Support Opportunities to work with EY Adv-PI ASMS practice globally with leading businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

This role is responsible to lead the development, enhancement and maintenance of the Loan Management System. Also, to drive the end-to-end technology strategy to streamline loan origination, processing, servicing and reporting, ensuring high performance, security, and regulatory compliance. Key Responsibilities Functional Responsibilities -Lead the design, development, and enhancement of the Loan Management System, leveraging Java for application logic and PL/SQL for database programming Oversee end-to-end LMS functionality, including loan origination, underwriting, disbursal, servicing, collections and reporting Collaborate with business analysts, risk and compliance teams to translate loan processing requirements into technical specifications Manage database design, performance tuning, stored procedures, and triggers using Oracle PL/SQL. -Ensure system scalability, data integrity and security compliance with industry standards and regulations. Supervise the integration of the LMS with third-party systems such as credit bureaus, payment gateways, CRM and accounting platforms Drive continuous improvement initiatives and system upgrades aligned with business needs -Monitor system performance, troubleshoot issues, and ensure high availability -Prepare technical documentation and reporting for senior management and auditors -Lead continuous improvement initiatives using Agile/Scrum methodologies Job Requirements Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology Experience 20+ years of software development experience, with at least 4 years focused on loan or financial systems Functional Competencies Strong expertise in Java (Spring framework preferred) and PL/SQL Experience with relational databases like Oracle, SQL Server, or similar Proven experience leading a development team and managing complex projects Solid understanding of loan products, lending lifecycle, credit risk, and compliance Hands-on experience with APIs, middleware, and system integrations Familiarity with DevOps, CI/CD pipelines, and version control tools (Git) Behavioral Competencies Strategic and analytical thinking Strong communication and interpersonal skills Problem-solving and decision-making skills Strong networking and People Management skills

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.