Linear Regulators Jobs in Bengaluru

Senior Backend Engineer Market Making Location: Bangalore Experience: Senior-level Education: Advanced degree in Computer Science, Mathematics, or a related field About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the fragmented digital asset market. Our platform provides seamless access, liquidity, and trading tools for institutional clients, enabling strategies from start to scale. Team Overview The Quant Team at FalconX is divided into three verticals: Services: Focused on complex pricing, risk management methodologies, and execution for our OTC desks. Options Market Making (MM): Provides market-making for derivatives, either as a service or as business owners. D1 Team: Quantitative traders providing market-making services while managing discretionary risk for linear products. Role Overview As a Senior Backend Engineer on the Market Making team, you will develop and enhance backend systems that provide critical tools, insights, and infrastructure for pricing, risk management, and trading operations. You will work closely with traders, quants, product managers, and trade operations teams to deliver robust, scalable, and high-performance applications. Key Responsibilities Build and maintain backend infrastructure to support pricing and risk management methodologies for complex and new products. Develop fundamental models in support of the quant team s three verticals. Collaborate with cross-functional teams including design, product management, traders, and quants to deliver scalable and efficient solutions. Solve technically challenging problems of high scope and complexity. Contribute to innovative products in the crypto derivatives space, such as correlation exotics and missing data volatility pricing. Ensure high-quality, maintainable code with strong testing, monitoring, and documentation practices. Required Qualifications Advanced degree in Computer Science, Mathematics, or related field. Proficiency in Python, with experience in a low-level language (C/C++/Rust) preferred. Familiarity with distributed systems and scalable architectures. Understanding of derivative products and risk management frameworks. Strong grasp of data structures, algorithms, and design patterns. Excellent problem-solving skills, with a detail-oriented and collaborative mindset. Strong communication skills and ability to work in a fast-moving, agile environment. Comfortable contributing to early-stage product development in a startup setting. Bonus / Preferred Qualifications Experience with exotic products and derivatives. Risk management and portfolio management experience. Knowledge of numerical methods, optimization, and modeling techniques. Familiarity with frontend frameworks such as React. Help make crypto assets a successful asset class for institutional investors. Provide critical tools and infrastructure that shape trading strategies and pricing models. Collaborate with top talent in trading, quant research, and technology. Work on some of the most innovative products in the crypto derivatives space. Qualification : Advanced degree in Computer Science, Mathematics, or a related field

Job Title: Backend Engineer Location: Bangalore Team: Market Making Team Employment Type: Full-Time About FalconX At FalconX, we re on a mission to revolutionize institutional access to the crypto markets. We combine the best of traditional finance with the cutting-edge technology of the digital asset space, solving the industry's toughest challenges. Our platform provides comprehensive solutions for digital asset strategies, empowering clients to navigate the rapidly evolving cryptocurrency landscape with confidence and precision. Our team is composed of operators, investors, and builders committed to shaping the future of crypto assets. By leveraging speed, transparency, and trust, we re helping to make crypto a viable and successful asset class for financial institutions worldwide. The Team Role The Quant Team at FalconX is divided into three verticals: Services: Focuses on complex pricing and risk management methodologies, building execution strategies for our OTC desks. Options Market Making: A team dedicated to market-making derivatives, managing both service-driven and profit-driven strategies. D1 Team: Quantitative traders providing market-making services, with discretionary risk ownership for linear products. As a Backend Engineer on the Market Making Team, you ll play a pivotal role in developing and enhancing backend infrastructure, contributing to the systems that power FalconX s trading strategies, risk management, and product development. What You ll Do Develop & Enhance Backend Infrastructure: Collaborate closely with the Market Making team to build scalable and robust backend systems that support complex pricing and risk management for new crypto products. Model Development: Contribute to the development of core models that support the three verticals of the team, providing crucial tools for the business. Cross-Functional Collaboration: Work with teams across design, product management, traders, quants, and trade operations to deliver user-friendly and high-performance applications. Solve Complex Technical Problems: Tackle high-impact technical challenges, working on innovative products such as correlation exotics, missing data volatility pricing, and more. Drive Product Innovation: Get involved in the most advanced products within the crypto space, with a focus on market-making solutions for institutional clients. Qualifications: Advanced Degree in Computer Science, Mathematics, or a related field. Proficiency in Python and familiarity with low-level languages (C, C++, Go, etc.). Experience with basic UI frameworks is a plus. Familiarity with distributed systems and large-scale infrastructure. Knowledge of derivative products and risk management frameworks. Strong understanding of data structures, algorithms, and design patterns. Problem-solving skills with a detail-oriented approach. Strong communication skills and a collaborative mindset to work efficiently across teams. Ability to thrive in a fast-paced, agile development environment. Bonus Criteria: Experience working with exotic financial products. Experience with risk management in trading environments. Familiarity with numerical methods and optimization techniques. Experience with React for frontend or UI integration. Innovation at the Cutting Edge: Work on the forefront of cryptocurrency market-making, helping shape the future of institutional crypto trading. Collaborative Environment: Join a dynamic and cross-functional team with the opportunity to work alongside some of the most talented professionals in the fintech and crypto space. Fast-Paced Growth: FalconX is an early-stage startup with a high-growth trajectory, offering a unique opportunity to drive impactful solutions in the rapidly evolving crypto industry. Competitive Compensation: We offer a competitive salary and benefits package, with the potential for equity participation in a high-growth company. Revolutionize Crypto Trading: Be part of a company that is redefining the way financial institutions interact with the crypto market. Exposure to Cutting-Edge Tech: Work with the latest technologies in a fast-paced, evolving environment. Empower Institutional Clients: Help some of the largest financial institutions around the world navigate the complexities of the crypto asset space. If you're ready to take on the challenge of building the future of crypto trading infrastructure, we want to hear from you!

Position: Senior Manager / Associate Director Risk & Compliance Location: Bengaluru Employment Type: Full-Time Department: Risk & Compliance Role Overview: Cashfree Payments is looking for a seasoned professional to join as Senior Manager / Associate Director Risk & Compliance. This leadership role focuses on developing and implementing strong policies and frameworks to manage financial crime risks such as Anti-Money Laundering (AML) and fraud prevention, while ensuring compliance with regulatory mandates. The role also includes handling inquiries from law enforcement agencies and banks, managing merchant dues recovery, and overseeing regulatory change implementation. Key Responsibilities: Policy Development & Oversight: Develop, enhance, and oversee comprehensive policies and procedures for financial crime risk management, including AML, fraud detection, and prevention strategies. Ensure product-level interventions align with risk mitigation goals. Relationship Management: Manage relationships with banking partners from a risk and compliance perspective. Ensure adherence to VISA, RBI, and NPCI guidelines. Risk Management: Strengthen preventive and detective controls to effectively mitigate financial crime risks within Cashfree Payments ecosystem. Regulatory Compliance: Monitor and ensure full compliance with applicable laws, regulations, and guidelines by implementing necessary process and policy updates. Monitoring & Reporting: Establish and maintain monitoring frameworks for suspicious activities and ensure timely reporting to regulatory authorities and internal stakeholders. Team Leadership: Lead and mentor the financial crime risk team, fostering a strong culture of compliance and risk awareness across the organization. Qualifications & Experience: Bachelor s or advanced degree in Law, Finance, Business Administration, or a related field. 8-10 years of relevant experience in policy development, fraud strategy, and financial crime risk management within fintech or financial services sectors. In-depth understanding of Indian regulatory frameworks related to financial crime and compliance. Exceptional stakeholder management skills, with proven ability to engage effectively with regulators, internal tech/product teams, and banking partners. Strong analytical skills with a data-driven approach to decision-making. Demonstrated leadership experience in managing cross-functional teams and driving organizational change initiatives. Qualification : Bachelors or advanced degree in Law, Finance, Business Administration, or a related field

Job Title: Lead Satellite Design & Development Location: Bengaluru Experience Required: 10 to 15 years Minimum Qualification: Bachelor s or Master s degree in Engineering (BE/BTech/ME/MTech) or Science (MSc) Specialization in Aerospace, Mechanical, Electronics, or Systems Engineering preferred Key Skills Satellite Systems Engineering System Architecture & Integration Flight Mechanics & Control Systems NX and Concept Design Tools Project & Resource Management Systems Engineering Lifecycle (V&V, Risk, Interfaces) Strategic & Technical Leadership Stakeholder Management Job Summary We are seeking a seasoned and visionary Lead Satellite Design & Development to lead end-to-end execution of satellite programs. The role requires deep technical expertise, hands-on project management skills, and a proven ability to lead multidisciplinary engineering teams. The ideal candidate will be instrumental in shaping system architecture, ensuring technical excellence, and aligning with organizational goals in the dynamic field of space systems. Key Responsibilities Team Leadership Lead and mentor a multi-functional engineering team across systems, mechanical, electronics, aerospace, software, and reliability disciplines. Foster a collaborative, innovation-driven work culture aligned with project objectives and company strategy. Project Management Manage full project lifecycle: from concept development through design, integration, testing, and deployment. Define project plans, budgets, schedules, and resource allocations using Agile, Waterfall, or hybrid methodologies. Conduct regular project reviews to monitor performance, identify risks, and implement mitigation strategies. Systems Engineering & Integration Drive system architecture and engineering processes: requirements definition, interface control, verification & validation, and risk management. Balance trade-offs between performance, cost, risk, and reliability throughout the development lifecycle. Ensure all engineering documentation is maintained in line with industry standards and internal processes. Quality Assurance & Risk Management Champion adherence to quality benchmarks and reliability targets. Develop and enforce comprehensive risk mitigation plans across design, development, and integration phases. Stakeholder Engagement Interface with internal teams (R&D, QA, Production, Finance, Executive Leadership) for cross-functional alignment. Engage external partners clients, suppliers, regulators to ensure compliance, clarity, and project alignment. Represent the organization in technical forums, industry panels, and client briefings. Innovation & Continuous Improvement Drive adoption of emerging technologies and design innovations to strengthen competitive edge. Lead process optimization initiatives to improve development efficiency, product quality, and team performance. Preferred Qualifications & Experience Proven leadership in full-cycle satellite or satellite bus development from mission planning and architecture to launch and mission control. In-depth knowledge of satellite sub-systems and technology providers. Familiarity with international standards and best practices in satellite design and development. Strong strategic acumen in planning, budgeting, and resource management for complex aerospace projects. Qualification : Bachelors or Masters degree in Engineering (BE/BTech/ME/MTech) or Science (MSc)

Position: Electrical Engineer Location: Bengaluru, Karnataka, India Reporting To: Project Manager Industry: Semiconductor / Automation Qualifications: Education: Bachelor of Engineering (BE) in Electrical Engineering (Mandatory) Experience: 2 to 5 years in related fields (Control Panels, Power Calculations, Circuit Breakers) Software: Proficient in AutoCAD Electrical 2018 or later Candidate Profile: Preferably from Semiconductor Industry or Automation Sector. Hands-on experience in electrical design and control panel schematics. Essential Skills and Experience: Minimum 1 year experience creating detailed point-to-point schematics for Control Panels, Motor Control Centres, Power Distribution Panels. Minimum 2 years of electrical design experience including: Power calculations Component selection Schematic and Bill of Materials (BOM) creation I/O list creation Wire, cable, and harness selection/design Sensor selection (voltage, current, arc, temperature, etc.) Working knowledge of circuit components such as circuit breakers, contactors, relays, protection relays, push buttons, indicators, connectors, terminal blocks, cable routing accessories, and sensors. Desirable Skills: Familiarity with various process sensors: pressure, vacuum, flow, distance, displacement, proximity, limit, rotary and linear position sensors. Knowledge of EMI/EMC principles and panel design. Working knowledge of motor control systems. Responsibilities: Conduct professional electrical engineering research, design, development, modification, and testing related to electrical systems and power distribution/generation. Collaborate with a multidisciplinary engineering team (electrical, mechanical, software, technical support, productivity engineers, suppliers) on design and modifications. Maintain and develop process checkpoints to ensure compliance with design standards and project schedules. Drive process improvements in collaboration with leadership peers. Create electrical schematics and systems based on requirements; generate and release engineering drawings and BOMs. Assist in developing and refining functional specifications for electrical systems and power distribution. Qualification : Bachelor of Engineering (BE) in Electrical Engineering (Mandatory)

Position: Mechanical Design Engineer Location: Bengaluru Industry: Automation / Special Purpose Machinery (SPM) / Semiconductor (preferred) Qualifications: Bachelor s degree in Mechanical Engineering (BE) 3 to 5 years of relevant experience, preferably in machinery or automation sectors Technical Skills: Proficiency in 3D CAD software (mandatory), such as SolidWorks, Autodesk Inventor, or NX Strong expertise in selection and integration of OEM components: motors, couplings, bearings, linear motion guides, O-rings Knowledge of weldment processes, machining for structural design, and sheet metal fabrication for enclosures Ability to create detailed 3D models and GD&T drawings for manufacturing Experience in design calculations like LM guide movement, coupling torque, and O-ring sizing (a plus) Familiarity with semiconductor industry design activities is advantageous Working knowledge of pneumatic, vacuum, and cooling systems is beneficial Soft Skills: Excellent communication skills Willingness to work flexible hours to accommodate US time zone meetings Responsibilities: Develop and generate 3D models and detailed manufacturing drawings adhering to design standards Perform design calculations and validate engineering designs to ensure accuracy and feasibility Collaborate closely with cross-functional teams to select and integrate OEM components appropriately Participate in structural and sheet metal enclosure design and development Keep up-to-date with the latest trends and technologies, especially in semiconductor and automation domains Provide technical support on pneumatic, vacuum, and cooling systems as needed Perform additional related duties as assigned to support project and team objectives Qualification : Bachelors degree in mechanical engineering (BE)

Job Title: Mechanical System Engineer - Robotics Location: Bengaluru Role and Responsibilities System Design & Integration: Analyze customer production lines to break down requirements and design mechanical systems integrating the CyRo platform. Ensure mechanical designs meet customer-specific constraints such as space, payload, and environmental conditions. Develop systems including CyRo, feeding mechanisms, sensors, fixtures, and other mechanical components for tailored automation solutions. Perform tolerance analysis to validate dimensional and functional requirements. Collaborate closely with electrical, software, and systems engineering teams to ensure seamless subsystem integration. Design mounting systems, fixtures, and interface components to facilitate integration into customer facilities when required. Mechanical Optimization: Optimize system designs by integrating mechanisms and sensors to enhance performance, modularity, and scalability. Select and design mechanisms for part presentation, feeding, reorientation, and manipulation considering space and performance constraints. Develop automation cells with modularity and scalability for current and future applications. Continuously refine workflows to improve cycle times, reduce errors, and increase operational efficiency. Modelling: Create and integrate detailed mechanical designs, including CAD layouts and fixtures, supporting customer automation solutions. Validate designs through tolerance analysis and develop calibration fixtures for robotic systems. Work cross-functionally to ensure mechanical designs integrate effectively with instrumentation, software, and controls. Documentation: Produce comprehensive documentation such as design specifications, validation reports, and scalability guidelines to ensure reproducibility. Develop detailed installation guides, maintenance manuals, and troubleshooting documentation for customer use. Skills and Experience Proficient in CAD software such as SolidWorks, CATIA, or AutoCAD. Strong grasp of mechanical engineering principles, materials science, and manufacturing processes. Experience in robotics, automation, or mechatronics is highly preferred. Familiarity with relevant industry standards and safety regulations (ISO, ANSI, OSHA). Excellent analytical, problem-solving, communication, and teamwork skills. Understanding of manufacturing processes, assembly lines, and automation cell design. Prior experience designing and integrating automation systems in production or process lines. Required Qualifications Bachelor s or Master s degree in Mechanical Engineering, Mechatronics, or related fields. Minimum 3 years of experience in mechanical design and automation systems integration. Strong knowledge of manufacturing processes and mechanical systems integration. Skilled in CAD and simulation tools. Additional Preferred Qualifications Experience with robotic automation systems and integration into manufacturing workflows. Familiarity with designing feeding mechanisms, part presentation systems, and end-of-arm tooling (EOAT) for robotics. Exposure to Autonomous Mobile Robots (AMRs) and other robotic mobility solutions. Understanding of sensors and actuators commonly used in automation (vision systems, force-torque sensors, linear actuators). Experience with plant simulation tools such as Siemens Plant Simulation or FlexSim. Qualification : Bachelors or Masters degree in Mechanical Engineering, Mechatronics, or related fields.

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Software Developer C++ Location: Bangalore, Karnataka, India Employment Type: Full-time, Permanent Experience Level: Experienced Professional (6-8 years) Role Overview We are seeking a proactive and skilled Full Stack Developer with deep expertise in C++ to contribute to the development of MR image reconstruction modules integrated with AI. The ideal candidate will actively research and innovate MR reconstruction techniques, improve module performance, and collaborate closely with cross-functional teams to deliver high-quality medical imaging solutions. Key Responsibilities Develop, improve, test, and maintain MR image reconstruction modules. Conduct research to enhance acquisition speed, data extraction, noise/artifact robustness, and overall reconstruction quality. Develop AI inferencing code, prepare data, and support model training activities. Manage code repositories and version control systems such as Git or Azure Repos. Participate actively in design discussions, code reviews, and agile development processes. Troubleshoot and optimize module performance, security, and scalability. Collaborate with product owners and stakeholders to manage backlogs and ensure continuous feature delivery. Required Skills & Qualifications Education: BE/B.Tech/MCA/ME/M.Tech from a recognized institution. Core Expertise: Strong practical experience in C++ development, object-oriented programming, and design patterns. Additional Skills: Python programming experience (advantageous). Knowledge of medical imaging modalities, particularly MRI (preferred). Strong foundation in physics, mathematics, signal processing, linear algebra, probability, and random processes. Understanding of inverse problems, AI, imaging chains, MR reconstruction, and pulse sequences is a plus. Soft Skills: Strong analytical and problem-solving skills, clear communication, and a passion for learning and creative thinking. Tools: Experience with Azure Repos or Git for version control. Experience 6 to 8 years of core development experience with C++. Collaborative work environment fostering professional growth. Challenging projects enhancing technical expertise. Competitive compensation and benefits.

Job Title: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 8 Years Employment Type: Full-Time About CloudSEK CloudSEK is one of India s most trusted cybersecurity product companies, building world-class AI-driven platforms to detect and resolve digital threats in real-time. Our suite of products XVigil, BeVigil, and SVigil serve Fortune 500s and government bodies across the globe. Headquartered in Singapore and expanding rapidly across Asia, India, and the Americas, CloudSEK s mission is to create a safer digital ecosystem through contextual threat intelligence and proactive security. Role Overview: Data Science Manager (Marketing Mix Modeling) We are looking for a highly analytical Data Science Manager with specialized experience in Marketing Mix Modeling (MMM) to lead data-driven strategic initiatives. You will be responsible for delivering predictive models that evaluate the impact of marketing investments and optimizing ROI. The role involves direct engagement with cross-functional teams, including marketing, finance, and strategy, to influence key business decisions. Key Responsibilities Project Management & Delivery: Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to define and refine business requirements. Develop detailed project plans that align with business goals and delivery timelines. Lead end-to-end execution of MMM projects, monitoring milestones, scope, and quality. Host internal scrum meetings and external Weekly Business Reviews (WBRs) with clients. Ensure all deliverables codes, dashboards, presentations meet quality standards and timelines. Report on delivery scorecard metrics and implement corrective action plans to improve performance. Data Science & Modeling: Design and develop Marketing Mix Models (MMM) to assess the effectiveness of marketing channels. Apply advanced techniques in predictive modeling, machine learning, and linear regression. Interpret model outputs to guide media planning, budget allocation, and strategic forecasting. Stay up-to-date with evolving methodologies and tools in data science and ML. Team Leadership & Coaching: Assign tasks based on team members strengths and monitor performance. Provide both business and technical mentorship, guiding team members through challenges. Build a high-performance, collaborative, and innovative delivery environment. Encourage experimentation and ownership within the team. Required Skills & Qualifications Technical Skills (Must-Have): Expertise in Marketing Mix Modeling (MMM) and predictive analytics. Advanced proficiency in machine learning, statistics, and data interpretation. Working knowledge of Python and SQL for data manipulation and model development. Intermediate experience with project management tools and methodologies (Agile/Scrum). Familiarity with MS Excel, PowerPoint, and data visualization tools. Soft Skills: Strong business acumen with the ability to translate insights into financial and strategic impact. Excellent communication skills for interacting with mid-level to senior stakeholders. Strong leadership and interpersonal skills: coaching, conflict resolution, and negotiation. Ability to balance perfection and pragmatism when delivering real-world solutions. Preferred Educational Background: Bachelor s degree in Engineering, Statistics, Mathematics, Computer Science, or a related technical field. Candidates with non-technical degrees must demonstrate strong technical aptitude through prior work experience. Impactful Work: Build models that influence multi-million-dollar marketing decisions. Collaborative Culture: Work alongside a high-energy, motivated, and diverse team. Growth Opportunities: Drive meaningful outcomes with room to experiment and lead. Work-Life Balance: Enjoy flexible working hours, a relaxed work environment, and plenty of snacks! Location: Work out of our energetic and innovation-driven Bengaluru office.

Data Scientist II Join the Meesho Tech Team Location: Bangalore, Karnataka | Department: Technology Empower the Future of E-Commerce with Meesho We are looking for an experienced Data Scientist II to join our Avengers-like Data Science team at Meesho. As part of our mission to revolutionize e-commerce in India, we solve complex problems related to fraud detection, inventory optimization, and localized platform experiences that impact millions of users daily. As a mid-level Data Scientist, you ll partner with stakeholders across teams to create data-driven strategies, improve platform performance, and lead initiatives that enable better business outcomes for resellers and end users across Bharat. What You ll Do Design and build predictive models and machine learning solutions using large-scale data Conduct experiments and extract insights from high-volume structured and unstructured data Enhance product usability and surface new growth opportunities through advanced analytics Analyze reseller behavior to deliver personalized product recommendations Design effective discount programs to increase reseller sales performance Identify customer preferences to help resellers better serve their buyers and drive revenue Uncover supply chain inefficiencies and support SLA adherence through data insights Forecast seasonal and regional demand to optimize key business metrics Mentor junior data scientists and contribute to team knowledge-sharing What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 2 4 years of experience in a Data Scientist role, ideally within a fast-moving B2C tech environment Strong knowledge of Machine Learning algorithms, Neural Networks, and data modeling techniques Hands-on experience with SQL, Python, and R for data manipulation and analysis Strong understanding of statistics, linear algebra, and A/B testing methodologies Demonstrated ability to turn business problems into data science solutions Experience working with product and engineering teams to deliver scalable systems Preferred Qualifications Prior experience solving personalization or recommendation engine problems Familiarity with Big Data technologies like Apache Spark, Hadoop, or Amazon Redshift About Meesho Meesho is India's top-rated e-commerce workplace, revolutionizing online commerce for the next billion users. We empower over 1.75 million sellers through an inclusive, technology-driven platform that offers zero-commission selling, the lowest logistics costs, and access to a massive customer base across every serviceable pincode in India. Our Mission Democratizing Internet Commerce for Everyone Meesho (Meri Shop) aims to help 100 million small businesses succeed online. With relatable merchandise and localized user experiences, we re building a truly inclusive digital shopping ecosystem for underserved markets in India. Our Culture and Benefits Meesho fosters a high-performance and people-first culture. Our workplace philosophy is shaped by 11 guiding principles ("Mantras") and practices like Reflections, Listen or Die, and a robust Internal Mobility Program. Our Total Rewards Include: Competitive compensation packages including performance-based equity Comprehensive wellness through our MeeCare Program covering medical, mental, and financial well-being Flexible leave policies and parental support benefits to ensure work-life balance Relocation support, salary advances, and learning & development assistance Fun, collaborative culture with team engagement events, gifts, and recognition programs We are not just building a company; we re creating a movement. If you re driven by data and inspired to make a difference, come be a part of Meesho s journey to redefine e-commerce in India. Apply today and let's build the future of commerce, together. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Data Scientist III Advanced Analytics Role at Meesho Location: Bangalore, Karnataka | Department: Tech About the Data Science Team at Meesho Our Data Science team is the engine driving intelligent decision-making at Meesho. Known internally as the Avengers to our S.H.I.E.L.D, we tackle mission-critical challenges using cutting-edge data science to empower millions of users and small businesses across Bharat. From fraud detection and inventory optimization to platform vernacularization, we re shaping the future of e-commerce in India through data innovation. As a Data Scientist III, you'll be solving complex problems in a rapidly evolving market. You ll lead initiatives that translate data into strategic insights and scalable models, impacting business across various functions. About the Role If you thrive on solving high-impact data problems and love deriving actionable solutions from large datasets, you may be the next Data Scientist III at Meesho. Your primary responsibility will be to increase the utility of business data through experimentation, modeling, and strategic insights. This role involves significant collaboration with cross-functional teams, mentorship, and ownership of critical analytics workflows. What You ll Do Build and deploy machine learning models to extract insights from complex data Run experiments to test hypotheses and evaluate product performance Drive product usability improvements and uncover new growth opportunities Analyze reseller preferences and personalize product offerings Create effective discount strategies to support reseller success Enhance understanding of end-user behavior for improved targeting Uncover supply chain inefficiencies and improve SLA performance Predict seasonal and regional demand to guide planning decisions Mentor junior data scientists and contribute to team development What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 4 7 years of experience as a Data Scientist, ideally in a fast-paced B2C company Proficiency with Neural Networks, supervised/unsupervised learning, and ML frameworks Expertise in Python, SQL, and R for data analysis and model development Strong knowledge of statistics, linear algebra, and model validation techniques Experience in designing, running, and analyzing A/B tests Exceptional problem-solving and communication skills Experience working closely with product and engineering teams Bonus Points For: Work on personalization systems or recommendation algorithms Familiarity with Big Data technologies like Apache Spark, Hadoop, or Redshift About Meesho Meesho is India s leading social commerce platform, empowering over 1.75 million sellers to grow their businesses online. We offer a unique business model with zero commission fees and the lowest shipping costs, supported by a powerful tech ecosystem and pan-India logistics network. Our platform is built for first-time internet users and small business owners alike, democratizing e-commerce across every corner of the country. Our Mission Democratizing Internet Commerce for Everyone Meesho s goal is to enable 100 million small businesses to succeed online. With relatable, affordable merchandise and innovative seller support tools, we help entrepreneurs reach new customers and scale efficiently. Our Culture and Total Rewards At Meesho, we cultivate a high-performance, people-first culture supported by our 11 guiding Mantras. We prioritize continuous learning, collaboration, and transparency, and back it up with industry-leading employee experiences. Our Total Rewards Include: Market-leading compensation with both cash and equity components Access to MeeCare Program for physical, mental, financial, and social wellness Comprehensive medical coverage for employees and families Parental benefits, generous leave policies, and retirement plans Support for learning and career development through structured programs Employee engagement, flexible benefits, relocation assistance, and much more We re more than just a company we re a movement redefining online commerce in India. If you re a passionate data expert ready to lead high-impact initiatives, apply now and become a part of Meesho s incredible journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Senior SAP EAM / PM Consultant Experience: 8+ Years Work Type: Full-time About Fingent At Fingent, we believe that technology can make a meaningful difference to the lives around us. The lives of those who use it, the lives of those who build it and to society at large. We create and provide software which is beautiful, usable and compelling, to solve complex business challenges. We nurture smart people who bring out the best in themselves, their peers, and their clients. Skill Set Requirement: Minimum 8 years of SAP EAM/PM consulting experience with at least 2 full lifecycle implementations. Strong functional knowledge in equipment master, breakdown maintenance, maintenance plans, task lists, notifications, and order management. Experience integrating EAM with SAP MM, FI, and PS. Exposure to S/4HANA EAM is a strong plus. Industry experience in utilities, oil & gas, manufacturing, or transportation preferred. Excellent communication and client-facing skills. SAP Certification in EAM (optional but preferred). Nice to Have: Knowledge of mobile asset management tools (e.g., SAP Asset Manager, Click Field Service, or Maximo). Understanding of predictive maintenance, IoT integrations, and Industry 4.0 trends. Experience in preparing T&M-based SoWs and project estimations. Roles and Responsibilities: Lead end-to-end SAP EAM implementations including requirements gathering, blueprinting, configuration, testing, deployment, and support. Conduct workshops with business users to define asset management processes and map them into SAP. Configure SAP Plant Maintenance (PM) module maintenance planning, notifications, work orders, task lists, equipment, functional locations, breakdown & preventive maintenance. Integrate SAP PM with modules like MM, FI, and PS where applicable. Provide functional expertise during data migration, UAT, go-live and hyper care phases. Document functional specifications for custom developments and enhancements. Deliver user training and prepare training materials as needed. Act as the main POC for onsite coordination with client stakeholders and offshore teams. More Information Experience: 8+ Years

Chief Analytics Office (CAO) - Data Scientist Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 2-4 years Company: IBM Chief Analytics Office (CAO) Introduction: At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact. Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements. Refine data-driven methodologies for enterprise transformation projects. Data Science and AI: Design, implement, and optimize machine learning solutions and statistical models. Perform end-to-end data analysis, from problem formulation through to deployment. Ensure the scalability of AI solutions by leveraging cloud platforms. Apply IBM s data science standards and reusable assets to ensure quality and consistency. Project Support: Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment. Monitor project timelines and assist in resolving any technical challenges. Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs. Collaboration: Work closely with stakeholders to ensure alignment with strategic goals. Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Provide technical expertise to cross-functional teams, fostering a collaborative environment. Required Education and Experience: Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. An advanced degree is strongly preferred. Experience: 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Hands-on experience with AI technologies through coursework or projects. Required Technical Skills: Programming and Data Analysis: Proficiency in SQL and Python for data analysis and developing machine learning models. Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch). Cloud Platforms & Data Processing: Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks. Specialized Knowledge: Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite. Familiarity with object-oriented programming (OOP) principles. Analytical and Soft Skills: Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets. Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels. Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment. Preferred Experience: Advanced Degree: A Master s degree in a related field is strongly preferred. Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques. Collaboration: Be part of a collaborative environment with a global team of AI experts. Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field. Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities. Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations. Qualification : A Masters degree in a related field is strongly preferred.

Job Title: Computer Vision Location: Bengaluru, India Type: Full-time Roles and Responsibilities: Constantly research, prototype and build solutions to computer vision problems. Actively find new solutions that we can provide to industry-specific problems. Build prototypes to display new analysis and insight. Build new tools to streamline the overall process flow as requirements develop. Add new features to existing tools. Requirements: Strong command over all computer vision related use-cases, algorithms and approaches. Familiarity with Deep Learning frameworks such as TensorFlow (and keras), PyTorch, and strong experience in at least one of those. [Using Python programming language is a must.]. Familiar with different machine learning algorithms and when to use them. Strong math fundamentals in areas including but not limited to linear algebra and computational geometry. Ability to write clean, concise and well documented code. Familiar with version control, writing tests and writing documentation. Open to learning new technologies and languages. Comfortable working in a low monitoring/guidance environment. Strong sense of initiative, ownership, urgency and drive. Experience in training and applying CNNs on various datasets. Excellent organisational and leadership skills. Basically we re looking for people who are passionate about solving problems, and doing things the best way. If this is like you, we look forward to hearing from you. Years of Experience: 2- 8 years

Position: Application Engineer, Analog & Power Job Overview: We are seeking an Application Engineer specializing in Analog & Power to join our team. In this role, you will provide advanced engineering design services and support to the regional engineering team, with a focus on power electronics and analog engineering solutions. You will be responsible for hardware engineering support, including PCB design and review, electronic simulations, and laboratory analysis, all while ensuring compliance with industry standards and customer specifications. Key Responsibilities: Provide advanced engineering design and support for power electronics and analog systems, assisting the regional engineering team. Conduct hardware engineering tasks, including PCB reviews, electronic simulations, and using lab equipment such as PCBA rework tools and oscilloscopes for product development. Lead PCB design from initial concept (block diagrams) to part selection, schematics, layout, Gerber files, and prototype testing. Develop clear and concise technical documentation, such as whitepapers, technical reports, and internal training materials. Support the development and validation of reference designs to meet customer specifications. Ensure that all designs comply with relevant industry standards and customer specifications. Attend technical and sales training to stay up to date with current technologies and trends. Maintain accurate documentation of engineering designs and solutions for future reference. What We Are Looking For: Bachelor s Degree or higher in Electronics, Electrical Engineering, Computer Science, or a related field. At least 7 years of experience in electronics/semiconductors, power management, and analog product design. Strong technical expertise in power conversion topologies (DC-DC, AC-DC, DC-AC). Experience working with WBG (Wide Bandgap) devices such as SiC and GaN. Solid experience with electrical instrumentation, including Op-Amps, signal conditioning, sensors, and data acquisition systems. Familiarity with industry standards and compliance (e.g., IEC, UL, ISO) for high-power systems. In-depth understanding of EMI/EMC standards and mitigation techniques for high-power designs. Experience in reference design development, validation, and component optimization. Strong communication and interpersonal skills to collaborate effectively with internal teams and customers. A passion for innovation and a commitment to delivering high-quality engineering solutions. What s In It For You: Access to training and professional development opportunities. Performance coaching and growth support. The chance to work with a fun and supportive team. Opportunity to be part of a growing and strong company. Community involvement opportunities. About Arrow: Arrow Electronics, Inc. (NYSE: ARW), a Fortune 133 company and one of Fortune Magazine s Most Admired Companies, is a global leader in technology solutions. With 2023 sales of USD $33.11 billion, Arrow develops innovative technology solutions that improve business and daily life. Our broad portfolio helps customers create, make, and manage forward-thinking products that make technology accessible to more people. Location: Bangalore, India Employment Type: Full-time Job Category: Engineering and Technology Qualification : Bachelors Degree or higher in Electronics, Electrical Engineering, Computer Science, or a related field.

Your Impact As a Data Science Analyst at McKinsey, you will collaborate closely with the Insights & Analytics (IA) group and consulting teams to solve analytically complex client problems in the marketing domain. You will apply advanced analytical and modeling techniques, drawing insights through statistical techniques and predictive modeling to guide marketing efforts. Your primary responsibility will be client service, with an additional focus on knowledge development within the team. Key activities will include: Performing statistical analysis and modeling to support marketing-related client engagements. Developing and refining statistical models aimed at optimizing pricing strategies and promotional activities. Providing guidance to teams on analytics projects, particularly on technique and modeling-related issues. Supporting the development and maintenance of McKinsey s proprietary marketing techniques and contributing to other knowledge development initiatives. Coaching and mentoring new hires by sharing your business, technical, and functional expertise. Delivering high-quality, client-ready end products on time, with attention to detail and performing quality checks as required. Your Growth You will be a key part of McKinsey s Growth, Marketing & Sales (GM&S) team, based in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics (IA) group of GM&S. This team leverages McKinsey's decades of experience in marketing and sales to help leading companies improve pricing, promotions, assortments, and performance management. The GM&S Solutions team blends cutting-edge software, tailored services, and deep expertise to provide clients with a comprehensive view of their commercial and financial performance. By integrating various data sources into a central data warehouse, the team enables clients to make informed decisions using advanced analytics. McKinsey Solutions fosters innovation in areas such as design thinking, mobile, and social, helping to reshape the consulting model toward asset-based solutions. This is a growing area within McKinsey, with a vibrant ecosystem of alliances, strategic acquisitions, and the development of new products and services that redefine how McKinsey works with clients. As part of McKinsey Solutions, you ll be part of a team of more than 1,000 dedicated professionals, including over 800 analysts and data scientists, working on impactful, innovative solutions. Your Qualifications and Skills Mandatory: Master s degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background. 2+ years of relevant work experience in analytics, business intelligence, or advanced analytics with an analytics firm. Proficiency in statistical programming software such as Python, and comfortable working with large datasets. Familiarity with R and SQL is also preferred. Experience in handling large volumes of data, including data manipulation, data cleansing, and data matching using tools like R, SQL, and Excel VBA. Strong analytical and problem-solving skills, with the ability to break down complex issues, identify root causes, and recommend actionable solutions. Knowledge of forecasting, regression analysis, and segmentation methodologies. Experience with modeling techniques, including logistic regression, linear regression, cluster analysis, CHAID, and similar approaches. Industry experience in consumer goods, telecom, or retail is a plus. Ability to thrive in a dynamic and evolving environment where priorities change frequently, and methodologies are often challenged. Capacity to work efficiently under pressure and meet tight deadlines. Qualification : Masters degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background.

Job Title: Service Sales Engineer South India Location: Bangalore, India Business Area: Robotics & Discrete Automation Reporting to: Manager - Automation Academy & Application Work Model: Hybrid (#Li_hybrid) About ABB At ABB, we are committed to addressing global challenges by combining cutting-edge technology with a strong focus on care, courage, curiosity, and collaboration. Diversity, inclusion, and equal opportunity are at the core of our values, empowering us to create sustainable solutions for a better future. Your Key Responsibilities In this role, you will play a crucial part in service sales activities, delivering key business processes and programs for ABB s Robotics & Discrete Automation division. Your primary focus will be to drive service sales growth and customer engagement. Service Sales: Promote and sell services such as spare parts, training, AMC (Annual Maintenance Contracts), and installation audits to end-users. Develop competitive offers aligned with market trends and customer needs. Installed Base Penetration: Identify opportunities within existing installed base (IB) and drive sales of upgrades, retrofits, and value-added solutions. Collaborate with relevant teams to align with channel strategy and pricing. Lead Generation: Identify and develop new market opportunities by leveraging market insights and ABB s service portfolio. Act as a brand ambassador during marketing campaigns, trade fairs, exhibitions, and customer meetings. Account Management: Develop and implement strategies to strengthen B&R brand visibility within key accounts, aiming to establish B&R as a preferred brand. Customer Satisfaction: Monitor end-user satisfaction and ensure prompt issue resolution by coordinating with OEM, Support, and Service teams. Escalate complex cases when required to ensure customer satisfaction. Market Insights: Track CAPEX investments in end-user markets and ensure relevant updates are shared with the OEM and PFA teams. Business Acumen: Maintain a strong understanding of customer business drivers, industry trends, competitive landscape, and economic factors. Collaborate across ABB business units to enhance overall ABB brand value. Qualifications & Experience Education: Bachelor s Degree in Electrical, Electronics, Instrumentation, or Mechatronics from a recognized university. Experience: 2-4 years of relevant sales experience within the Indian business environment, preferably in a multinational company. Prior work experience with B&R or competitor automation systems such as PLCs, motors, drives, motion control, and robotic systems is essential. Knowledge of mechatronics systems like Linear Transport Systems, Vision Systems, and Robots is an added advantage. Experience in serving industrial and utility sectors is preferred. Languages: Fluent in English (speaking, listening, reading, and writing). Travel Requirement: Willingness to travel up to 60% across South India. As a global leader in industrial automation, ABB s B&R division develops and delivers cutting-edge technology for machine and factory automation. Our culture of innovation and excellence ensures we consistently exceed customer expectations. At ABB, we value and celebrate diverse backgrounds and perspectives. Together, we shape a more sustainable and efficient future. Important Notice ABB never requests payment from candidates at any stage of the recruitment process. All our open positions are published on our official careers portal. Please be cautious of any recruitment fraud and avoid making payments to individuals or entities claiming to represent ABB. Qualification : Bachelors Degree in Electrical, Electronics, Instrumentation, or Mechatronics from a recognized university.

About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development. Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. Qualification : Master's degree in Statistics or Economics, a related field, or equivalent practical experience.

About UniOps Unilever Operations (UniOps) is the global technology and operations engine of Unilever, providing business services, enterprise solutions, and technology support to drive efficiency and innovation. With operations in 190+ locations, UniOps ensures seamless execution of business strategies and enables Unilever to be Purpose-Led and Future-Fit. Purpose of the Role We are looking for a Senior Executive Parent & Holding (P&H) Reporting to be based in Bangalore. P&H Reporting is responsible for the financial, management, and regulatory reporting of 90+ Unilever legal entities in the UK and the Netherlands, including Unilever Plc, the top holding company. This is an individual contributor role, with potential management of contract resources/interns. The role requires strong collaboration with: Group Treasury UL Country Finance & Business Partners 3rd Party Service Providers External & Internal Auditors Local/Country Finance Controllers Key Responsibilities 1. Monthly & Statutory Reporting Prepare monthly internal & external reports for consolidation and statutory reporting, including: Inter-Company Transactions Dividends & Royalty Reports Overall Financial Performance Ad-hoc Financial Analysis & Queries 2. Impairment Assessment & Reconciliation Conduct impairment analysis for intangibles and investments. Ensure timely reconciliation of all inter-company balances for Unilever s holding companies. 3. Balance Sheet Substantiation & Tax Compliance Prepare Balance Sheet Substantiation for review by financial controllers. Support UK and NL tax teams with financial data for tax return preparations. Provide information for financial/statistical surveys conducted by UK & Netherlands regulators. 4. Compliance & Control Ensure compliance with Unilever s Group Financial Control Framework to maintain robust financial controls. Prepare statutory financial statements for entities managed by the P&H team. Skills & Qualifications Essential Qualifications & Experience CA (Chartered Accountant) with technical accounting expertise OR CA Intermediate/CMA with 3+ years of financial accounting/RTR experience in a large MNC or audit firm. Proficiency in MS Excel & PowerPoint. Preferred Qualifications & Experience IFRS Diploma (a plus, but not mandatory). SAP knowledge (desirable, but not required). Technical Skills Financial Accounting & Reporting: Expertise in managing financial transactions, reporting, and ensuring compliance. IFRS Expertise: Ability to prepare financial reports under IFRS & local statutory requirements. Financial Systems & Controls: Strong understanding of financial integrity, audit processes, and best accounting practices. Analytical Thinking: Ability to identify key financial issues, analyze trends, and implement solutions. Leadership & Behavioral Skills At Unilever, we look for people who embody our Unilever Behaviors: Passion for High Performance Takes ownership of results, drives focus and motivation, and ensures speed & efficiency in execution. Personal Mastery Sets high standards and actively works on personal growth, resilience, and well-being. Consumer Love Puts the consumer at the heart of everything we do. Why Join Unilever? A Purpose-Driven Career Work in a company that believes in using business as a force for good. Impact at Scale Contribute to financial strategies that support global operations and sustainability goals. Career Growth & Learning Access mentorship, leadership training, and development programs. Diverse & Inclusive Workplace At Unilever, we celebrate diversity and equal opportunities for all. Ready to make an impact? Apply now! Key Enhancements: Concise & Engaging Format Easier to read and understand. Stronger Employer Branding Highlights Unilever s impact and work culture. Emphasis on Growth & Innovation Appeals to top talent. Clear Role Breakdown Structured responsibilities and skills. Qualification : CA Intermediate/CMA with 3+ years of financial accounting/RTR experience in a large MNC or audit firm.