Model Validation Jobs in Mumbai

Designation: Senior Engineer Location: Mumbai Department: R&D Qualification: B.Tech / B.E in Electronics / Electronics & Communication / Electronics & Telecommunication Experience: 5+ years (exclusively in Electronics Design & Development) Required Skills & Expertise Practical hands-on experience with: Operational Amplifiers (OpAmp) and their applications. DC-DC converters, Low Dropout Regulators (LDOs), thermal calculations, and heatsink selection. Relays and their applications. Diodes, MOSFETs, BJTs, Optocouplers and their real-world usage. Protection devices such as MOV and TVS. Microcontrollers and pin mapping. Communication protocols including CAN, SPI, I2C, Parallel, RS232, RS485, Ethernet, USB. Switch Mode Power Supply (SMPS) design and PCB layout guidelines. EMI/EMC design and testing. Job Description & Responsibilities The candidate will own the product development lifecycle from initial specification through design, validation, and final production, including documentation at every stage: Design & Development Design and implement low-power analog circuits (op-amps, filters, power circuits, BJTs, FETs) and digital circuits (logic gates, microcontrollers, memories). Draft specifications, plan design architecture, create circuit schematics, select components, prepare BOMs, and coordinate procurement. Simulation & Analysis Perform circuit tolerance analysis using Excel, Spice-based Monte-Carlo simulations, TINA, or equivalent tools. Compliance & Standards Design and develop products compliant with hazardous location standards and railway safety standards (IEC, EN, UL, CE), focusing on intrinsic safety, functional safety, and EMI/EMC requirements. Testing & Validation Bring up PCB assemblies and develop low-level hardware test plans to verify design functionality. Debug hardware using oscilloscopes, digital multimeters (DMMs), logic analyzers, and other test equipment. Generate detailed test plans and reports for electrical and environmental compliance tests. Production Support Assist in prototype fabrication including procurement, build processes, and testing. Analyze and modify designs for end-of-life (EOL) considerations, manufacturing feedback, or customer issues. Documentation Document design processes, testing procedures, validation results, and create jigs or fixtures for validation purposes. Additional Expectations Collaborate effectively with cross-functional teams including manufacturing, procurement, and quality assurance. Drive continuous improvement by troubleshooting and resolving design and production issues. Ensure design practices align with company policies and industry best practices for quality and reliability. Qualification : B.Tech / B.E in Electronics / Electronics & Communication / Electronics & Telecommunication

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Job Title: Deputy Project Lead-Society Finance & Compliance Location: Mumbai Department: Project Operations About Zipgrid Zipgrid ( MyAashiana Management Services Private Limited ) is the only PropTech company specializing in leveraging technology to deliver Finance, Compliance, and Office (FCO) management operations for housing and commercial communities on a Done-For-You model. Since 2014, we have emerged as a leader servicing 550+ societies and communities, offering end-to-end solutions that ensure smooth, long-term operations. Our philosophy, Let the experts do the work, underscores our commitment to delivering the best community living and working experiences through over a decade of industry expertise. Role Overview As the Deputy Project Lead, you will oversee the comprehensive operations of assigned projects, managing a direct team of 15 20 members. You will lead specialized functions in Management, Finance, and Compliance, ensuring milestone deliveries, resource allocation, and adherence to accounting principles and regulatory standards. This role demands strong leadership, financial acumen, and hands-on operational expertise. Qualifications MBA or MMS (Finance) OR Post Graduate/Graduate in Accounts/Finance with 3+ years of relevant experience OR Semi-qualified Chartered Accountants (IPCC/Intermediate cleared) with 3+ years experience OR GDCA certified/trained with 3+ years experience Qualification may be relaxed for candidates with 2+ years in Co-operative/Society accounting/compliance Key Responsibilities Team & Project Management Lead and manage a team of Finance Leaders, Accountants, Tax Professionals, and Compliance Officers. Allocate resources effectively, monitor milestone progress, and ensure timely client collections. Financial Compliance & Accounting Oversee accounting activities and internal audits ensuring compliance with GAAP. Recommend cost-optimization and process improvement initiatives. Billing & Accounts Receivable Develop and publish Billing Dashboards regularly. Resolve client queries in coordination with project teams. Confirm billing issuance and communicate tariff changes. Bookkeeping & Client Relations Review accounts and journal entries. Manage client relationships independently. Publish Accounting Dashboards and reports. Taxation & Compliance Track Monthly TDS and ensure timely filing and reconciliation with accounting data. Coordinate responses to tax notices and manage communication with senior management. Support GST and Income Tax filing processes and validations. Prepare income computations, plan Advance Tax payments, and oversee timely tax return submissions. Financial MIS & Reporting Close financial statements including P&L, Balance Sheet, and Cashflow. Publish MIS dashboards and communicate reporting needs with clients. Monitor open items and ensure timely resolution. Other Responsibilities Maintain virtual client communication for urgent matters. Support cross-functional coordination to meet client and project requirements. Skills & Experience Strong understanding of cash flow management, bank reconciliation, and bookkeeping. Proficiency with accounting software/ERPs. Experience in financial planning, risk management, data analysis, and forecasting. Leadership mindset with a lead-by-example approach. Prior experience managing client finance operations and society compliance is advantageous. Zipgrid offers a dynamic environment to lead finance and compliance operations for impactful community projects. If you are ready to take charge and grow with us, we invite you to apply.

Job Title: Data Analyst Investment Team Location: Mumbai, India Company: BCI Finance (Part of Blenheim Chalcot Portfolio) Experience: 1 3 Years Department: Investment & Analytics Employment Type: Full-Time The Role: We are looking for a highly analytical and detail-oriented Data Analyst to join the Investment Team at BCI Finance, part of the Blenheim Chalcot portfolio. You ll play a key role in building models, conducting borrower-level data analysis, maintaining databases, and developing dashboards that directly influence investment decisions and credit strategies. This role offers exposure to real-world financial data, modern data platforms, and the chance to contribute to the next generation of GenAI-enabled FinTech businesses. Key Responsibilities: Run-Off Modelling Build and maintain run-off models to assess credit security against borrower portfolios. Contribute to quarterly IFRS9 provisioning through model updates. Conduct scenario and sensitivity analyses for new deal structures. Borrower Data Analysis Analyze loan-level performance to identify trends, risks, and concentration issues. Support investment memos with actionable credit risk insights. Maintain and update Power BI dashboards for borrower monitoring. Present emerging trends during monthly monitoring sessions. Data Management & Platform Development Upload and manage borrower data in a PostgreSQL database. Ensure data integrity and consistency across systems. Assist in developing Python-based analytics tools for internal users. Technical Stack: Required Skills Excel: Advanced skills for model building and financial analysis. Python: For analytics, data manipulation, and scripting. AI Tools: Familiarity with tools like ChatGPT and Cursor to enhance productivity. Nice-to-Have Skills SQL (PostgreSQL): For data extraction and management. Power BI: For creating dashboards and visual reporting. Note: Support in Python, SQL, and Power BI is available through the India team. About You: The ideal candidate thrives in fast-paced, data-driven environments and enjoys working cross-functionally. You're a problem-solver with a technical edge and a solid understanding of financial and investment principles. Qualifications & Experience: Bachelor's degree in a STEM field, Finance, or a quantitative discipline. Strong financial modeling and Excel experience. Working knowledge of Python and/or SQL. Basic understanding of credit risk and investment structures. Comfortable working with large, complex datasets. What We Offer: Competitive Compensation. Exposure to global FinTech investment processes. Learn directly from Blenheim Chalcot, the world s leading digital venture builder. Hands-on experience with GenAI tools and next-gen data platforms. Private medical insurance for you and your immediate family. Life insurance coverage. 24 days annual leave + 10 public holidays. A dynamic and fun culture (we own the Rajasthan Royals IPL team!). About BCI Finance: BCI Finance is a private credit-specialist investment manager under Blenheim Chalcot, focused on empowering high-growth FinTech companies through flexible, empathetic debt solutions. Known for its strong track record through the Credit Opportunities Fund, BCI blends rigorous credit analysis with innovative funding strategies. About Blenheim Chalcot: Blenheim Chalcot has been building digital businesses for over 26 years across FinTech, EdTech, GovTech, HealthTech, and more. With a team of 3,000+ and a presence in the UK and India, Blenheim Chalcot helps ventures scale by providing strategic expertise and operational support in technology, growth, talent, finance, and legal. Diversity & Inclusion: At Blenheim Chalcot, we re committed to creating an inclusive culture. We celebrate diversity and aim to empower all employees to achieve their full potential through equal opportunities and respect for all voices. Qualification : Bachelor's degree in a STEM field, Finance, or a quantitative discipline

Position: Quality Engineer Location: Mumbai Employment Type: Full-Time, Permanent Job Overview: We are seeking a detail-oriented Quality Engineer to develop and execute manual and automated tests to ensure the quality of our software solutions. The ideal candidate will have experience in writing test plans, creating test scripts for functional and load testing, and using tools like JMeter for performance evaluation. Key Responsibilities: Test Planning: Write comprehensive test plans and test cases based on requirements to ensure all aspects of the software are thoroughly tested. Automated Functional Testing: Develop and maintain automated test scripts to perform functional testing, ensuring efficient and accurate execution. Manual Testing: Perform manual testing of applications, identifying defects and collaborating with developers to resolve them. Load Testing: Create automated test scripts for load testing and perform load testing using JMeter to simulate real-world traffic and identify performance bottlenecks. Continuous Improvement: Review and refine testing processes to improve efficiency, effectiveness, and test coverage. Required Skills & Experience: Strong experience in writing test plans and test cases from requirements. Proficient in manual testing and automated functional testing using well-known tools. Hands-on experience with JMeter for automated and load testing. Knowledge of software testing methodologies and best practices. Excellent problem-solving and analytical skills.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

Snowflake Developer Location: Mumbai Experience: 6+ years Key Responsibilities: Design & Development: Design and develop data models, schemas, and pipelines in Snowflake. ETL/ELT Implementation: Implement ETL/ELT processes using Snowflake Snowpipe, Streams, and Tasks. Performance Optimization: Optimize query performance, indexing, clustering, and partitioning for large datasets. Stored Procedures & UDFs: Develop stored procedures, UDFs, and views to support business logic. Security & Governance: Manage Snowflake security, role-based access control (RBAC), and data governance. Integration: Integrate Snowflake with various data sources using Python, AWS/Azure/GCP, or ETL tools like Informatica, dbt, Talend, etc. Best Practices: Implement best practices for data warehousing, data lake, and real-time analytics. Collaboration: Work closely with Data Engineers, BI teams, and Analysts to support reporting and analytics. Requirements: Experience: 6+ years of experience working with Snowflake and cloud data platforms. SQL Expertise: Strong expertise in SQL, performance tuning, and optimization. ETL/ELT Tools: Experience with ETL/ELT tools such as dbt, Matillion, Talend, or Informatica. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, Data Factory, or Cloud Functions. Data Modeling: Knowledge of data modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables). Scripting: Experience with Python/Shell scripting for automation and data transformations. CI/CD: Understanding of CI/CD for Snowflake development using Git, Terraform, or dbt. Security & Compliance: Strong knowledge of Snowflake security, access controls, and compliance standards. Communication: Excellent communication skills to effectively collaborate with cross-functional teams. If you're a skilled Snowflake Developer looking to work in a dynamic environment and bring innovative solutions to the table, apply now for the position in Mumbai!

Job description About this role About this Role At the heart of BlackRock, the largest investment management firm in the world, is the Aladdin Product team. Being a member of Aladdin Product means working with the industry s thought leaders to build innovative and forward-looking products that shape the financial markets. We build next-generation technology that changes the way global investment firms manage their investments. Sitting at the intersection of business and technology, Product Managers work closely with Aladdin developers and other stakeholders to innovate, conceptualize, design and pilot new capabilities to simplify our clients biggest problems. As a Product Manager passionate about Aladdin Accounting, you will be responsible for leading, managing, and executing on our product vision. About Aladdin & Aladdin Accounting Aladdin is our operating platform to manage financial portfolios. It unites client data, operators, and technology needed to manage transactions in real time through every step of the investment process. Aladdin exists so that every financial professional can understand investment decisions and act with clarity. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making. Aladdin Accounting extends the scope of Aladdin, providing our clients a single, front-to-back investment platform with comprehensive investment accounting. The platform builds a connective tissue for thousands of users investing worldwide. Key Responsibilities: Define best practices for investment accounting processing Communicate accounting concepts to internal and external (client) stakeholders Work closely with Aladdin Accounting and product build teams to efficiently build workflows Analyze and research accounting data, working with partner teams to mitigate client challenges Explain accounting calculations to internal and external stakeholders Configure and establish system elections, client ledgers, and accounting elections Lead with a data driven mindset that tracks and measures usage and metrics to advise product strategy and deployment strategy Be a market structure expert - stay attuned and be ahead of industry, market, and technology trends to build opportunities for BlackRock and better serve our clients Desired Qualifications: 3-7 years of work experience in the financial services industry, Chartered Accountant (CA) is a plus Full professional proficiency in written/spoken English Experience with a variety of accounting standards (e.g., IFRS, US GAAP, Local GAAPs) as they pertain to investment accounting Experience using OMS / Accounting systems and/or successful track record in technology implementations of investment software Experience with accounting processes including reconciliation, ledger/trial balances, income analysis, accounting elections or accountinginterfaces/reporting. Deep understanding of asset classes (Securities, Alternatives, Mortgage Loans, or Derivatives) Well-organized with the ability to prioritize with a hands-on approach, ability to schedule and manage tasks effectively, conflict resolution, problem solving, risk management Familiarity with product and software development lifecycles is a plus Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment the one we make in our employees. It s why we re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Real Assets Data Analyst Job Description About the Role As a Real Assets Data Analyst at MSCI, you will be part of our Real Assets Data team, supporting real estate performance analysts in delivering real estate indexes, performance benchmarks, and customized analysis to global asset managers and asset owners. Key Responsibilities Track and monitor commercial real estate transactions from news sources and third-party data providers. Manage a portfolio of clients and/or funds, ensuring data accuracy and alignment with methodologies. Respond to client inquiries, analyze fund data, and apply necessary corrections based on MSCI s methodologies. Deliver custom performance analyses and reports as requested by clients. Collaborate with internal teams and local market experts to maintain high data quality and client satisfaction. Contribute to assigned projects, ensuring timely delivery. Identify opportunities for process improvements and drive operational efficiencies. Apply analytical and problem-solving skills to enhance workflows and processes. Skills & Qualifications Strong foundation in accounting and finance. Proficiency in MS Excel; knowledge of VBA or Python is a plus. Experience 0-4 years of experience in financial services or a related field. Education Bachelor s degree in finance, accounting, economics, engineering, or a related field. About MSCI MSCI is a leading provider of decision-support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, MSCI empowers clients to make better investment decisions by providing insights into risk, return, and portfolio transparency. Qualification : Bachelors degree in finance, accounting, economics, engineering, or a related field.

Experience: 4 5 years in Salesforce development Education: Bachelor s degree in Computer Science, Information Technology, or a related field Job Summary: We are seeking a skilled Salesforce Developer to join our Digital Transformation Cell. The ideal candidate will be responsible for the design, development, testing, and implementation of custom solutions within the Salesforce platform. This role requires a deep understanding of Salesforce architecture and the ability to collaborate with business stakeholders to deliver effective solutions that enhance business processes and drive success. Key Responsibilities: Develop and customize Salesforce applications using Apex, Visualforce, Lightning components, and other Salesforce technologies. Collaborate with stakeholders to gather and analyze requirements, translating them into technical specifications. Implement and manage Salesforce integrations with external systems and third-party applications. Design and create data models, custom objects, workflows, validation rules, and reports within Salesforce. Perform data migrations using tools like Data Loader and other ETL tools. Troubleshoot and resolve issues related to Salesforce applications, providing timely support to end-users. Maintain comprehensive documentation of processes, configurations, and code. Ensure the security, scalability, and reliability of Salesforce applications. Stay current with Salesforce updates and best practices, recommending improvements where necessary. Skills Required: Experience with Salesforce CPQ, Service Cloud, or Marketing Cloud. Knowledge of Agile development methodologies. Familiarity with version control systems such as Git. Understanding of Salesforce security and compliance standards. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree

Company Overview Mondel z International is a leading global snacking company with iconic brands like Oreo, Cadbury, and Toblerone. The company s mission is to lead the future of snacking, creating delicious moments of joy for people around the world. As part of Mondel z's dynamic Digital Solutions team, this role will offer an exciting opportunity to drive innovation through AI, data, and analytics. Role Overview As a Data Scientist within the Mondelez Digital Solutions team, you will play a critical role in developing cutting-edge AI and GenAI solutions that will empower the US Sales & Planning teams. This role focuses on leveraging Analytical AI algorithms and Large Language Models (LLMs) to create actionable insights and transform commercial reporting processes. You'll work closely with multiple teams to implement these solutions and continuously improve the reporting and decision-making capabilities of the organization. How You Will Contribute 1. AI and GenAI Model Development Design, develop, and deploy Analytical AI models (e.g., linear regression, decision trees, boosted trees models) to gather insights related to customers, brands, categories, and products. Implement anomaly detection algorithms (e.g., isolation forest) to identify anomalies in commercial data and alert teams about significant changes. Utilize Large Language Models (LLMs) to summarize the current business state and explain trends in the data, supporting the commercial reporting team. 2. Data Preparation and Utilization Oversee the extraction, preparation, and utilization of large datasets for model training and validation, ensuring the data is clean, accurate, and relevant for AI model development. Continuously update and refine the AI/GenAI solution with new data sources and features to enhance business insights. 3. Collaboration and Implementation Work closely with cross-functional teams to ensure smooth deployment of AI and GenAI capabilities into the company s commercial reporting dashboards. Collaborate with stakeholders to ensure the tools meet business requirements and deliver high-quality insights. 4. Reporting and Documentation Regularly report on the achievements and challenges of the AI tools to senior management and relevant stakeholders. Maintain detailed documentation of AI models, GenAI solutions, logic, and performance metrics, ensuring the business can leverage insights effectively. 5. Continuous Improvement and Innovation Stay up to date with the latest trends in AI and GenAI and integrate new advancements into the reporting system to improve its efficiency and effectiveness. What You Will Bring 1. Required Skills & Experience Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or related fields. Strong analytical and critical thinking skills with the ability to translate complex data into actionable business strategies. Proficiency in handling large datasets using Python and SQL. Strong knowledge of data visualization tools such as Tableau and Power BI. Experience with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions. Experience with data preprocessing, cleaning, and ETL processes. Familiarity with Natural Language Processing (NLP) techniques. Knowledge of recent advancements and trends in GenAI and a passion for continuous learning in this field. 2. Additional Skills (Good to Have) Working knowledge of syndicated data (e.g., Nielsen/IRI or other retail sales data sources). Proficiency in using data containerization and orchestration tools for maintaining complex data workflows. Experience with programming languages like PySpark and R. Experience in leveraging Large Language Models (LLMs) to build GenAI solutions or proofs-of-concept. Experience with frameworks like Langchain for building language applications. Relocation and Support Within-country relocation support is available. For candidates voluntarily moving internationally, minimal support is offered through the Volunteer International Transfer Policy. Qualification : Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.

CHESS/ESG Data Analyst Location: Mumbai Employment Type: Full-time Reporting To: Global Head of ESG Reporting & CHESS Systems Role Summary The CHESS/ESG Data Analyst is responsible for managing, validating, and supporting ESG and CHESS data across all operating companies. This role ensures data integrity, supports assurance readiness, and drives digital optimization for ESG reporting, acting as the operational link between site teams and Group Sustainability. Key Responsibilities 1. Data Collection and Validation Coordinate and track ESG/CHESS data submissions from operating companies. Validate inputs for accuracy and compliance with Group data standards. Manage version control and evidence logs to ensure auditability. Resolve data gaps and anomalies by following up with specific sites and functions. 2. System Management and Analytics Provide user administration and troubleshooting support for Intelex. Develop automated dashboards and visualizations using Qlik Sense or Power BI. Contribute to system enhancements and the integration of internal data solutions. Support automation pilots and reporting enhancements to drive digital maturity. 3. Assurance and Compliance Support queries from external auditors with precise data extracts and documentation. Maintain organized, traceable evidence files for key ESG metrics. Coordinate the completion and validation of external ESG questionnaires. 4. Stakeholder Engagement Build collaborative relationships with divisional CHESS leads and functional teams. Serve as the primary point of contact for operational data queries and user assistance. Support training sessions to improve data ownership across the organization. Qualifications & Experience Experience: 3 6 years in data coordination, ESG reporting, or management systems. Technical Skills: Experience using Intelex is required; knowledge of Qlik Sense or Power BI is highly desirable. Core Competencies: Strong attention to detail, documentation discipline, and the ability to manage global deadlines. Role Impact Ensures traceable data to support global reporting and assurance. Strengthens the operational foundation of sustainability data systems. Improves process efficiency through system optimization.

Senior Engineer Civil Location: Mumbai Experience: 7 10 Years Qualification: Diploma / B.E. in Civil Engineering Employment Type: Full-Time About the Role We are looking for a skilled Senior Civil Engineer to join our Mumbai team. The candidate will be responsible for overseeing civil engineering projects, ensuring quality control, timely execution, and adherence to safety standards. This role involves coordination across teams, site supervision, and ensuring project specifications are met. Key Responsibilities Lead and supervise civil engineering works at the project site to ensure compliance with design, safety, and quality standards. Review and interpret construction drawings, blueprints, and specifications to guide execution. Coordinate with contractors, consultants, and clients to ensure smooth project progress. Monitor daily site activities and resolve technical issues proactively. Prepare project schedules, progress reports, and documentation. Conduct site inspections and ensure quality assurance and control procedures. Manage material procurement, vendor coordination, and resource allocation. Ensure adherence to safety protocols and regulatory compliance on site. Mentor junior engineers and site staff, fostering professional development. Assist in budgeting, cost control, and resource planning. Required Skills & Competencies Proven experience in civil engineering project execution and site management. Strong knowledge of construction methods, materials, and industry standards. Ability to read and interpret engineering drawings and technical documents. Proficient in project management and civil engineering software/tools. Strong communication, leadership, and problem-solving skills. Ability to work independently as well as in a team-oriented environment. Attention to detail and commitment to quality and safety. Preferred Attributes Experience with large-scale infrastructure, commercial, or residential projects. Familiarity with local building codes and statutory regulations. Ability to manage multiple projects simultaneously. Join Our Team If you are a dedicated civil engineer with a passion for project excellence and leadership, join us to contribute to impactful infrastructure projects in Mumbai. Apply today! Qualification : Diploma / B.E. in Civil Engineering

Salesforce Analyst Location: Mumbai Experience: 5 to 7 Years Qualification: Graduate Employment Type: Full-time Job Description We are seeking a skilled Salesforce Analyst to act as the key interface between business stakeholders and technical teams, translating business requirements into efficient Salesforce solutions. The ideal candidate will provide ongoing support, optimize Salesforce processes, and ensure platform integrity and user adoption. Key Responsibilities Serve as the primary liaison between business users and technical teams to gather, analyze, and translate business needs into Salesforce solutions. Provide Salesforce support including troubleshooting user issues, managing profiles, roles, permissions, and resolving system incidents promptly. Analyze existing business processes, identify inefficiencies or gaps, and recommend improvements leveraging Salesforce capabilities. Partner with stakeholders to define and document user stories, acceptance criteria, and detailed process flows. Manage Salesforce platform configurations ensuring data integrity, security, and system automation through workflows, approvals, validation rules, and flows. Conduct user training sessions, create comprehensive documentation, and deliver ongoing support to maximize Salesforce adoption. Collaborate with developers and third-party vendors to coordinate system enhancements, customizations, and integrations. Perform regular system audits, manage release cycles, and ensure compliance with company governance and security policies. Monitor Salesforce performance and usage metrics, and provide actionable insights to business teams for continuous improvement. Required Skills and Qualifications Graduate degree in any discipline. 5 to 7 years of experience working with Salesforce in an analyst or support role. Strong understanding of Salesforce platform capabilities including Security, Profiles, Roles, and Permission Sets. Experience in managing Salesforce workflow automation, validation rules, approval processes, and Flows. Ability to analyze business processes and translate them into scalable Salesforce solutions. Excellent communication skills to collaborate effectively with cross-functional teams. Experience conducting user training and creating user documentation. Familiarity with Salesforce release management and compliance requirements. Proactive problem-solving skills and ability to work independently. Be part of a dynamic team driving digital transformation and business efficiency. Work in a collaborative environment with opportunities for continuous learning. Impact business processes through innovative Salesforce solutions. If you are a detail-oriented Salesforce professional who enjoys bridging business and technology, we want to hear from you! Qualification : Graduate

Assistant Manager Optronics & Computing Platforms (Hardware Design) Location: Mumbai Experience: 6 10 Years Education: B.E. in Electronics Engineering Job Summary: We are seeking a motivated and technically proficient Assistant Manager Hardware Design to join our Optronics & Computing Platforms division in Mumbai. The role focuses on hardware design, development, testing, and qualification of electronics systems for defense applications. This includes analog and digital circuit design, as well as microprocessor/microcontroller-based hardware development. Job Purpose: To contribute to the end-to-end design and development of electronic hardware systems for high-performance defense and optronics projects, ensuring compliance with stringent technical and environmental standards. Key Responsibilities: Design & Development: Design analog and digital circuits including microcontroller/microprocessor-based systems Develop schematics using OrCAD, Altium, or similar EDA tools Select, codify, and document components in accordance with project and lifecycle requirements Testing & Validation: Conduct functional testing and validation of physical prototypes Support environmental and EMI/EMC testing to ensure compliance with defense standards Product Documentation & Integration: Create comprehensive product lifecycle documentation Design and prepare module-level and system-level cable harnesses Collaborate with cross-functional teams during integration, testing, and qualification phases Required Skills & Competencies: Technical Know-How: Expertise in PCB schematic capture and hardware design Familiarity with layout review tools and design practices Solid understanding of communication protocols: UART, USB, Ethernet, I C, SPI Basic knowledge of computer hardware and peripherals Soft Skills: Strong problem-solving and analytical skills Detail-oriented with a structured approach to design and documentation Ability to work independently and collaboratively in cross-functional engineering teams Qualification : B.E. in Electronics Engineering

Position: Junior Solution Architect Location: Mumbai We are looking for a dynamic and driven Junior Solution Architect to join our team. In this role, you will work closely with customers to understand their requirements, design comprehensive solution architectures, and deliver impactful presentations and demos. You ll be responsible for analyzing RFPs, creating detailed project plans, providing estimates, and preparing proposals. A strong hands-on background in SAP s latest technologies is essential, along with the ability to articulate and sell the proposed solution to clients. Key Responsibilities: Collaborate with clients to understand their business requirements and translate them into solution architecture. Lead client presentations, product demos, and solution discussions. Analyze and respond to RFPs, preparing clear, concise project plans and proposals. Provide estimates for project timelines, resources, and costs. Design and implement solutions leveraging the latest SAP technologies. Effectively communicate and convince clients of the value of the proposed solutions. Gain and maintain an excellent understanding of the client's industry, especially the infrastructure and power sectors. Qualifications: Education: CA/ICWA/MCom/MBA-Fin. Strong functional knowledge and domain understanding. Prior experience in the infrastructure or power sector is highly preferred. Exceptional presentation and communication skills. Job Category: Support Function Qualification : CA/ICWA/MCom/MBA-Fin.

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.