We are currently seeking an accomplished Senior Frontend Engineer to join our dynamic team. In this role, you will lead the development of cutting-edge and user-centric web applications. Your expertise will play a pivotal role in shaping front-end architecture, guiding junior developers, and delivering high-quality, performant code. Responsibilities Develop and maintain high-quality web applications using modern JavaScript frameworks and libraries such as React, Angular, or Vue.js . Write clean, efficient, andmaintainable code, following best practices and coding standards. Ensure responsive design and cross-browser compatibility in web applications. Participate in code reviews, providing and receiving constructive feedback to and from peers. Apply clean code principles like SOLID, DRY (Dont Repeat Yourself), and KISS (Keep It Simple, Stupid) in daily development tasks. Utilize frontend architecture best practices to build scalable, high performance web solutions. Stay current with industry trends and advancements in frontend technology and incorporate them into your development process where appropriate. Implement unit tests and collaborate with QA to ensure high-quality,reliable web applications. Work closely with cross-functional teams, including Product Managers, Designers, and Backend Engineers, to define and refine project requirements, scope, and timelines. Communicate effectively with team members and stakeholders, providing regular updates on task progress, milestones, and any potential risks or issues. Collaborate with DevOps to ensure seamless deployment and integration of web applications with other systems and platforms. Continuously evaluate and improve development processes and practices to increase efficiency, productivity, and quality. Identify opportunities for automation, tooling, and other process improvements to streamline the development lifecycle. Engage in learning and development opportunities to enhance your technical skills and knowledge. Skills Strong knowledge of HTML, CSS, and JavaScript, with a deep understanding of responsive design and cross-browser compatibility. Understanding of Agile/Scrum methodologies and familiarity with project management tools. Strong problem-solving and analytical skills, with the ability to prioritize and manage multiple tasks effectively. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams Experience and Qualifications Demonstrable experience (preferably 5+ years) in Frontend development Tech. Bachelor/Master of Engineering Proven experience in designing and implementing innovative web ecosystems. Expertise in rapidly building and iterating on prototype web user interfaces. Track record of driving improvements in usability and interactivity.

Technical: Building extremely fast, highly current data reporting and analytical systems that will be used by multiple teams to drive decisions utilizing typical components such as ETLs with Python and SQL queries on both SQL and NoSQL databases. Ensure consistent optimization of performance and quality so as to enable faster decision making. Dashboard Creation and Reporting: Develop dashboards and comprehensive documentation to effectively communicate results. Regularly monitor key data metrics, facilitating informed decision-making. Business Metrics Identification: Identify and analyze key business metrics, offering strategic insights. Recommend product features based on the identified metrics to enhance overall product functionality. Cross-Functional Collaboration: Collaborate seamlessly with Engineering, Product, and Operations teams to conceptualise, design, and construct data reporting and analytical systems. Ideation and Analysis: Generate ideas for exploratory analysis, actively shaping the trajectory of future projects. Provide insightful recommendations for strategic actions based on data-driven insights. Rapid Prototyping and Product Discussions: Drive the rapid prototyping of solutions, actively participating in discussions related to product and feature development Skills Bachelor s/Master s degree in engineering In-depth expertise in SQL and Python programming. Exceptional quantitative and problem-solving skills Good command over analytical and visualization tools like Tableau, Metabase etc. Basic Knowledge of Data Modeling, ETL Process, statistical and ML techniques such as classification, linear regression modelling, clustering and decision trees, etc. At least 4 years of experience in working on data, especially on reporting, data analysis Ability to work with cross-functional and dependent teams, think and own on delivering end to end. Excellent problem-solving skills and ability to work independently or as part of a team. Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.

As a Specialist - People Tech Analytics, you will drive the implementation, optimization, and integration of HR technology solutions to enhance efficiency and employee experience. You will collaborate with HR, IT, and business leaders to ensure seamless system operations, drive adoption, and support the future roadmap of HR Tech. Responsibilities HR Tech Strategy Implementation: Execute the vision of a unified HR Tech ecosystem by ensuring seamless system integrations. Support in evaluating and selecting new HR technologies that align with business needs. Lead system enhancements, upgrades, and new implementations. System Management Optimization: Oversee and manage HR technology platforms (e.g., HRMS, LMS, PMS, Compensation Engagement tools). Guide system admins to create an integrated and optimized functionality for respective platforms. Ensure HR systems integrate smoothly with enterprise applications/tools. Partner with IT and security teams to maintain data privacy and system security. Process Improvement Adoption: Work with HRBPs and leadership to identify process improvement opportunities. Drive adoption of self-service HR modules and enhance user experience. Leverage HR tech to automate manual processes and improve efficiency. Vendor Stakeholder Management: Collaborate with vendors to resolve technical issues and enhance system performance. Partner with HR and leadership to define system enhancements based on business needs. Experience Qualifications Bachelors degree with 4-6 years of relevant experience in analytics, preferably in the HR domain and Tech Industry. Hands-on experience on HRMS tools like Darwin Box, Workday, SAP HCM, etc. Skills HR Tech Strategy Execution - Expertise in designing and implementing a unified HR Tech ecosystem. HRMS, LMS, and PMS Proficiency - Experience with platforms like Darwinbox, Workday, and SAP HR, along with system integrations. System Implementation Upgrades - Leading enhancements, upgrades, and new deployments across multiple HR platforms. Cross-Functional Collaboration - Partnering with HRBPs, IT, and business leaders to align HR tech initiatives with organizational goals. Data Privacy Compliance - Strong understanding of security protocols, data privacy, and regulatory compliance in HR technology. User Adoption Experience - Driving the adoption of self-service HR modules and improving the overall user experience. Process Automation Efficiency - Implementing automation to enhance HR operations and streamline processes. Vendor Management Technical Support - Managing HR tech vendors and troubleshooting technical issues to optimize system performance. HR Tech Integration Expertise - Experience in integrating HR systems in a dynamic, fast-paced environment.

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015. Our flagship processing platform - Zeta Tachyon - is the industry s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 20M+ cards have been issued on our platform globally. Zeta has over 1700+ employees - with over 70% roles in R&D - across locations in the US, EMEA, and Asia. We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021. Learn more @ www.zeta.tech , careers.zeta.tech , Linkedin, Twitter About the role Zeta is looking for an L&OD Consultant will be responsible for the end-to-end management of LMS at Zeta, ensuring seamless platform operations, content curation, system enhancements, and analyticsdriven decision-making. The incumbent will also be responsible for data analytics, dashboard creation, and learning insights while ensuring compliance and alignment with learning structures. Responsibilities Own the complete operations and maintenance of Zetas LMS, ensuring a seamless learning experience for all users. Act as the go-to LMS expert for the in-house learning team, providing training and support for content creation and platform navigation. Curate, organize, and manage digital learning content, ensuring alignment with organizational learning structures. Ensure that learning programs and courses are effectively structured and assigned within the LMS to maximize accessibility and impact. Troubleshoot UI/UX issues, navigation challenges, and stakeholder queries to enhance platform usability. Regularly coordinate with the LMS provider to stay updated on new features and drive system enhancements. Conduct periodic training sessions for Learning Partners, People Partners, and Business Stakeholders to maximize LMS adoption. Develop walkthroughs, tutorials, and best practice guides to help employees effectively use the platform. Act as the custodian of learning data, ensuring accuracy and accessibility for reporting and insights. Utilize Microsoft Office Suite and other analytics tools to track and visualize learning metrics. Skills Functional Skills: Hands-on experience managing LMS operations, content structuring, and troubleshooting. Advanced proficiency in MS Office Excel: Formulas, Pivot Tables, Automation, Logicbased Calculations, Dashboards, and Visualization tools. Strong ability to engage with business leaders, Learning Partners, and employees, ensuring effective knowledge transfer and adoption. Ability to proactively identify system improvements, troubleshoot issues, and drive efficiencies in the learning ecosystem. Understanding of L&D principles, instructional design, digital learning trends, and enterprise learning needs. Experience and Qualifications Experience - 2-3 years of experience. Qualification - Masters in Human Resources or similar from a reputed institute. Knowledge and experience with Learning Management Systems and Tools for at least 2 years (e.g., Success Factors, Absorb, Cornerstone, Docebo, Disprz or similar) Demonstrated experience in consulting and partnering with functional teams, business stakeholders and senior leaders. Preference - FinTech, Technology, SaaS, or Product-based companies. Life At Zeta At Zeta, we want you to grow to be the best version of yourself by unlocking the great potential that lies within you. This is why our core philosophy is People Must Grow. We recognize your aspirations; act as enablers by bringing you the right opportunities, and let you grow as you chase disruptive goals. #LifeAtZeta is adventurous and exhilarating at the same time. You get to work with some of the best minds in the industry and experience a culture that values the diversity of thoughts. If you want to push boundaries, learn continuously and grow to be the best version of yourself, Zeta is the place to be! Explore life at zeta.

Research and test novel machine learning approaches and create predictive models and machine learning algorithms solving the core business problems Responsibilities Ability to understand complex business problems Research, analyze, and process structured and unstructured data Organize and present information using data visualization technique Work together with the engineering and product development teams to build and test ML/DL solutions. Primarily own the entire life cycle of ML operations from data processing, model training, hyperparameter tuning, deployment, model management, and observability Skills In-depth working knowledge of current ML techniques, both supervised and unsupervised learning techniques Implementation experience with classification, regression, pattern recognition, reinforcement learning, deep learning and optimizations Excellent hold on core programming languages like Java / C++ / Python. Updated with the latest trends in the machine learning community. Strong math and analytical skills with business acumen Experience and Qualifications Bachelors degree in engineering