Statistical Programming Manager Jobs in Mumbai

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Position: Software Test Engineer Location: Mumbai, India About LRN: At LRN, we help over 2,500 organizations including some of the world s most recognized brands navigate complex regulatory environments and build ethical, responsible, and inclusive workplace cultures. As a leading SaaS-based eLearning provider with a global presence across the US, EMEA, APAC, and Latin America, we empower companies to turn their values into measurable business practices that drive performance. About the Role: We re looking for a skilled and motivated Software Test Engineer to join our team. In this role, you will be responsible for designing, executing, and maintaining test plans for custom-developed applications, with a strong focus on automation testing. You will work independently and collaboratively in an Agile environment to ensure our software meets the highest quality standards. Key Responsibilities: Design and execute functional, system, integration, regression, and performance tests Develop and maintain automated test scripts using Selenium (mandatory), Protractor, and Postman Participate in planning, requirement analysis, and test strategy discussions with cross-functional teams Prepare test estimates, schedules, and documentation (test cases, test plans, QA checklists) Collaborate closely with developers and project managers to ensure alignment and quality goals Identify, log, track, and validate defects; perform root cause analysis Own end-to-end quality for assigned applications, proactively resolving testing issues Promote continuous improvement by identifying gaps and implementing automation where possible Provide timely updates and escalations on project status, risks, and blockers Requirements: Bachelor s degree with 4 5 years of software testing experience Minimum 2+ years in automation testing Strong knowledge of SDLC, STLC, and Agile methodologies Hands-on experience with Selenium (mandatory); familiarity with Protractor and Postman Working knowledge of at least one programming language (e.g., Java, Python, or Perl) Experience with SQL and relational databases Excellent written and verbal communication skills Ability to work independently in high-pressure, fast-paced environments Experience in LMS/eLearning domains is a plus Preferred Skills: Deep understanding of web applications and data flow Strong test planning and estimation skills Working knowledge of HTML5 Experience creating reusable automation frameworks Why Join LRN: Be part of a mission-driven company with global impact Collaborate with talented teams building ethical cultures worldwide Grow your career in a fast-paced, values-led SaaS environment LRN is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all employees. Qualification : Bachelors degree with 45 years of software testing experience

Business Analyst Risk P&L 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 liquid asset classes. We are a technology- and data-driven firm that applies a scientific approach to investing. Our collaborative and innovation-focused culture enables us to address the most complex challenges and consistently deliver high-quality returns for our investors. Role Overview We are seeking a skilled Business Analyst Risk P&L to join our team in Mumbai. This role is critical for ensuring seamless coordination between Risk Managers, Trading Desks, Technology Teams, and Operations. You will be responsible for risk and P&L analysis, system enhancements, data reconciliation, and contributing to strategic initiatives. Key Responsibilities Collaborate with traders, risk managers, and stakeholders to gather, analyze, and define business requirements related to risk and P&L systems. Reconcile daily/weekly/monthly Risk and P&L figures between internal systems and external parties. Prepare detailed financial and reconciliation reports for senior management. Use tools such as SQL and Python for data extraction, transformation, analysis, and reporting. Coordinate with cross-functional teams, including IT, Operations, and external vendors, to ensure timely project delivery and system enhancements. Proactively identify process inefficiencies and recommend improvements. Act as a key point of contact for risk and P&L related queries across the organization. Required Qualifications and Experience Experience: 4 7 years in a similar Business Analyst or technical role within financial services, preferably with exposure to trading or investment environments. Technical Skills: Strong knowledge of databases (SQL) and data analysis tools. Proficiency in Python or other programming languages is highly preferred. Domain Knowledge: Solid understanding of financial markets and instruments (equities, derivatives, etc.). Familiarity with Risk Management concepts and P&L reporting. Analytical Skills: Exceptional problem-solving ability and attention to detail. Ability to interpret and reconcile complex financial data. Soft Skills: Excellent communication skills both written and verbal. Effective collaboration skills across departments and with senior stakeholders. Why Join QRT Diverse & Inclusive Culture: We are committed to equality and encourage diverse perspectives that drive better outcomes. Work-Life Balance: QRT supports employees with wellness programs and flexible work arrangements. Innovation-Focused: Be part of a high-performing team that values continuous learning, curiosity, and ingenuity. Global Impact: Contribute to sophisticated risk and trading systems that operate on a global scale.

Crypto Quantitative Researcher 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 liquid asset classes. We are a data- and technology-driven firm that applies scientific methodologies to investing. Our collaborative, research-oriented culture enables us to solve complex challenges, continuously innovate, and deliver exceptional results for our investors. Role Overview We are seeking a Crypto Quantitative Researcher to join our elite global research team. In this role, your primary objective is to develop high-quality, predictive trading signals using large-scale crypto and financial datasets. You will conduct in-depth quantitative research, design and test strategies, and implement them into our production environment with support from cutting-edge infrastructure. Key Responsibilities Develop, test, and implement systematic crypto trading strategies based on predictive models and statistical patterns. Leverage structured and unstructured datasets to identify actionable insights in the digital assets space. Collaborate with fellow researchers, data scientists, and technologists to discuss methodologies, share research, and optimize signals. Integrate signals into QRT s global execution platform and monitor performance over time. Stay informed about emerging trends in cryptocurrency, decentralized finance (DeFi), and blockchain ecosystems. Required Qualifications & Experience Experience: Proven track record in developing and implementing systematic crypto strategies. Minimum 2 years of experience in quantitative research or trading within the financial industry. Education: Advanced degree (Master s/Ph.D.) in a quantitative discipline such as Mathematics, Statistics, Data Science, Physics, or Engineering. Skills & Knowledge: Strong statistical analysis and machine learning capabilities; NLP/AI experience is a plus. Deep understanding of crypto markets, DeFi protocols, and blockchain data (preferred). Proficient coding skills in Python (required); knowledge of C++ is a plus. Experience with production-level systems and latency-sensitive environments is advantageous. Ability to work independently while thriving in a collaborative, high-performance culture. Strong communication skills to work effectively with global, cross-functional teams. Work in a high-impact role within a research-led, collaborative environment. Access to sophisticated infrastructure and proprietary data. Competitive compensation aligned with performance. Programs to support wellness and a healthy work-life balance. A diverse, inclusive, and intellectually stimulating workplace. Qualification : Advanced degree (Masters/Ph.D.) in a quantitative discipline such as Mathematics, Statistics, Data Science, Physics, or Engineering.

C++ Software Engineer Low Latency Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a leading global quantitative and systematic investment manager, active across all liquid asset classes. We are driven by data, powered by technology, and rooted in scientific thinking. Our interdisciplinary teams of technologists, researchers, and traders collaborate to tackle some of the most complex challenges in finance, pushing the boundaries of innovation to deliver exceptional returns for our investors. Your Role at QRT As a Senior C++ Low-Latency Developer, you will play a critical role in building, optimizing, and maintaining the core infrastructure that powers QRT s global trading strategies. You will be working at the intersection of cutting-edge software engineering and financial systems, developing high-performance, low-latency trading platforms. Key Responsibilities Design, develop, and optimize ultra-low-latency software components and trading systems. Build and maintain execution gateways, exchange simulators, and core infrastructure for trading and backtesting. Implement multithreaded and distributed systems optimized for speed and efficiency. Collaborate closely with researchers, traders, and systems teams to deliver innovative, scalable solutions. Ensure top-tier system reliability, maintainability, and performance in high-stakes environments. Contribute to architectural discussions, code reviews, and best practices for development processes. Required Experience & Skills Experience: Minimum 7+ years of experience in C++ development focused on low-latency systems. Hands-on expertise in C++11/14/17, STL, and Boost, specifically for performance-critical Linux applications. System Knowledge: Strong understanding of Linux internals, x86_64 architecture, CPU cache behavior, and memory management. Proficiency in designing and optimizing multithreaded, real-time, and distributed systems. Networking & Optimization: Deep knowledge of networking protocols, socket programming, and low-level latency tuning techniques. Desirable: Prior experience in electronic trading systems, market data handling, or exchange connectivity is a strong plus. Familiarity with continuous integration/delivery and automated testing in a high-performance environment. Soft Skills & Team Culture Strong analytical and problem-solving mindset with a keen attention to detail. Proven ability to work collaboratively in a globally distributed, high-performing engineering team. Clear and concise communication skills both written and verbal. What QRT Offers Opportunity to work on high-impact systems in one of the world s most competitive domains. Access to state-of-the-art infrastructure and datasets. A collaborative, innovation-driven environment with support for continuous learning. Programs to promote wellness, work-life balance, and professional growth. An inclusive and diverse work culture where your contributions truly matter.

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.

Quantitative Data Analyst Location: Mumbai About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT s collaborative mindset which enables us to solve the most complex challenges. QRT s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Quantitative Developer / Analyst to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm s success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks priorities Becoming an expert on QRT s internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimize time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset Advanced programming experience in Python. C/C++, C# is a plus 3+ years of experience as a Data Engineer/Analyst/Scientist Prior experience working with commodities data is a must Post-Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics Capacity to work with autonomy within a global team (researchers and data engineers) Experience with Bloomberg/Reuters data ecosystems A keen interest in financial markets, data analysis, and programming Fast learner, intellectual curiosity, problem solver Ability to work in a high-performance, high-velocity environment Excellent communication skills, both written and verbal QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Quantitative Researcher Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time Your Future Role at QRT As a Quantitative Researcher, your primary objective will be to develop high-quality predictive signals by analyzing large and diverse datasets to identify statistical patterns and trading opportunities. You will collaborate closely with fellow researchers to share methodologies, data sets, and results, contributing to the continuous improvement of QRT s global execution platform. Monitoring and refining model performance over time will be key to maintaining the effectiveness of your strategies. Key Responsibilities Develop and validate predictive signals using advanced quantitative techniques. Analyze large datasets across multiple time frames to uncover meaningful patterns and opportunities. Collaborate with other researchers to share insights, methodologies, and datasets. Implement trading signals and integrate relevant datasets within QRT s execution platform. Continuously monitor signal behavior and model performance, making improvements as needed. Your Present Skillset Advanced degree in a quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Engineering, or a related field. Proficiency in at least one programming language commonly used in quantitative research (e.g., Python, R, Matlab, C++, C#). Strong foundation in statistics, machine learning, NLP, or AI techniques is an advantage. Experience working with large datasets and conducting analysis across multiple time frames is a plus. Ability to multitask effectively in a fast-paced environment while maintaining attention to detail. Intellectual curiosity and a passion for solving complex problems by exploring new data sources and innovative methods. Capacity to work autonomously while contributing positively within a collaborative team environment.

Quantitative Researcher Macro Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We leverage technology, data, and research combined with trading expertise to solve complex challenges and generate high-quality returns for our investors. Our culture of innovation and collaboration drives our ambition to remain at the forefront of quantitative investing. Your Future Role within QRT As a Quantitative Researcher specializing in Macro strategies, you will lead the end-to-end research process from signal generation through implementation. Your primary goal will be to develop high-quality predictive signals by analyzing large and diverse macroeconomic datasets, identifying statistical patterns and investment opportunities. You will collaborate globally with researchers, data scientists, technologists, and traders to share methodologies and improve strategy performance over time. Key Responsibilities Lead full-cycle strategy research: signal generation, testing, implementation, and ongoing monitoring. Analyze large, diverse datasets to identify meaningful macroeconomic statistical patterns and opportunities. Collaborate and communicate research results, data sets, and processes with global teams. Integrate signals and datasets into QRT s global execution platform. Continuously track and optimize model performance within your strategies. Your Present Skillset Minimum 3 years of relevant experience with a proven track record in systematic strategy development. Advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or related disciplines. Strong knowledge of statistics, machine learning, NLP, or AI techniques is advantageous. Proficiency in at least one major programming language (Python, R, Matlab, C++, C#). Experience analyzing large datasets across multiple time frames is a plus. Ability to multitask and maintain high attention to detail in a fast-paced environment. Intellectual curiosity and problem-solving mindset to explore new data sources and innovative research processes. Ability to work independently while contributing effectively within a collaborative global team. Excellent communication skills to engage with technologists, data scientists, and traders worldwide. Equal opportunity employer fostering a diverse and inclusive workplace. Empowering employees to work openly and respectfully for collective success. Comprehensive programs supporting healthy work-life balance alongside professional growth.

Senior Software Engineer Market Access Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Driven by a scientific approach to investing, QRT integrates data, research, technology, and trading expertise to solve complex challenges and deliver high-quality returns. Our culture fosters innovation, collaboration, and continuous improvement. Your Future Role within QRT As a Senior Software Engineer on the Market Access team, you will design and develop high-performance, low-latency C++ applications critical to powering our trading capabilities. You will collaborate closely with traders, FPGA engineers, DevOps, and other technical teams to build robust systems that meet stringent performance requirements. Additionally, you will take a leadership role by mentoring peers and contributing to software engineering best practices across the team. Key Responsibilities Develop and maintain high-performance, low-latency C++ applications for trading systems on Linux. Collaborate cross-functionally with traders, FPGA engineers, DevOps, system administrators, and network engineers to deliver seamless, optimized solutions. Write clean, efficient, and maintainable code; conduct code reviews and perform debugging and performance tuning. Lead system design discussions to ensure alignment with business needs and technical feasibility. Mentor junior engineers and guide the team on software development best practices. Drive continuous improvement initiatives within the software development lifecycle and deployment processes. Your Present Skillset Extensive experience in C++ development (C++11/14/17/20) with a focus on multithreaded, high-performance applications on Linux. Proven track record designing system-level architecture for trading or other latency-sensitive, performance-critical environments. Strong expertise in low-latency programming techniques, system profiling, debugging, and performance tuning. Prior experience as a technical lead or people manager, with examples of leading and mentoring engineering teams. Familiarity with advanced debugging tools and performance analysis methodologies. Understanding of financial products, markets, and trading systems is preferred but not mandatory. We are an equal opportunity employer committed to diversity and inclusion. A collaborative, respectful environment empowering employees to succeed collectively. Initiatives to support professional growth and a healthy work-life balance.

Software Engineer Data Platform Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Our technology-driven and research-focused culture enables us to solve complex challenges and deliver high-quality returns for our investors. Innovation and collaboration are at the heart of everything we do. Your Future Role at QRT We are seeking a highly skilled Software Engineer to join our Data Engineering team. You will contribute to designing, building, and scaling our data platform with a focus on developing a new data pipeline framework. Your work will directly impact our trading and research capabilities, collaborating with engineers and researchers to create robust, scalable solutions. While prior experience with financial data is a plus, it is not mandatory. We welcome talented developers from diverse backgrounds and provide comprehensive training. Key Responsibilities Design, develop, and maintain scalable and robust data services following best software engineering practices. Write automated tests to ensure reliability and support continuous delivery and integration. Maintain and scale delivery and integration pipelines. Develop reusable libraries and tools to enhance the Data Engineering team s productivity. Collaborate effectively with cross-functional teams, including researchers and engineers, to propose and implement new features in the data platform framework. Your Present Skillset Strong programming skills with a passion for software design and architecture, preferably in Python. Experience with testing frameworks and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with SQL and relational database concepts. Knowledge of modern data lake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Snowflake. Excellent communication skills and ability to work collaboratively in a small, close-knit team environment. Experience with cloud platforms, preferably AWS. Fluency in English (written and spoken). Work in a technology-driven environment focused on innovation and impact. Equal opportunity employer embracing diversity and inclusion. Supportive culture encouraging professional development and work-life balance.

Job Title: Senior Analyst Insights & Analysis Location: Mumbai Company: DGS India About the Role As a Senior Analyst, you will deliver insightful analysis aligned with client business goals, manage client communications, and lead junior team members to exceed performance targets. Key Responsibilities Understand client needs and act as the primary interface between clients and internal teams, ensuring clear communication. Address questionnaire-related client issues and suggest effective solutions. Use market research tools and programming languages to design surveys and deliver high-quality data tables. Independently review and execute projects according to guidelines and tools. Assign tasks to junior team members and support them in survey programming. Maintain work schedules and project plans for timely delivery.

Product Manager No of vacancy: 2 Location: Mumbai Job Profile: We are looking for someone who is enthusiastic about product development and has strong views on why, how and what of it. Analytical background for decision making is a must. Must be proficient in understanding statistics and trends using tools like google analytics etc. Understanding of tools for analytics, product management, wire-framing, documentation and other execution is required. It is important for the candidate to be a team player and collaborator. Drive product and integration roadmap, including market segmentation and sizing, market and competitive analysis, technology trends to achieve product line goals. Define strategies for user/customer engagement using multiple mediums (web, email, apps, mobile etc.) Manage product requirement definition and feature identification for future initiatives, including documentation of prioritized feature sets and use cases. Lead development and QA teams at the appropriate times to realise the goals of the product. Be a driving force in assembling the resources necessary to ship high-impact products and features, and facilitate communication throughout the development process. Work with the release process and support teams to insure that the product is released successfully and any issues in production are resolved quickly. Measure and analyse success of product or feature using internal tools as well as tools like Google Analytics. Efficiently manage agile development of the product. Candidate Profile: 1 to 3 years of experience working with teams in rapid delivery environments. Preferred experience in product development as an engineer. Preferred experience in a product / ecommerce company Proven ability to successfully manage all phases of the product development lifecycle. Expertise with web/mobile analytic tools. Excellent organizational, statistical, strategic thinking, problem-solving, analytical, written and oral presentation and communication skills. Experience of working on a consumer facing product, where you have worked on building a mobile interface.

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

Job Title: HubSpot CRM Developer Reports To: Technical Lead / Engineering Manager Location: Mumbai Job Description: We are looking for an experienced HubSpot CRM Developer to join our dynamic team. This role is pivotal in leading the design, development, and implementation of HubSpot CRM solutions, including customizations, integrations, and automation workflows. You will work closely with design, management, and clients to architect scalable, maintainable solutions that meet business goals and align with industry best practices. Key Responsibilities: Lead HubSpot CRM Development: Lead the design, development, and implementation of HubSpot CRM solutions, ensuring customization, integration, and automation workflows meet the business needs. Collaborate with cross-functional teams, including design, management, and clients, to gather requirements and develop robust solutions. Customization and Integration: Customize HubSpot modules, templates, and APIs to address specific business requirements. Architect scalable and maintainable solutions for CRM and marketing automation, optimizing HubSpot performance. Optimization and Troubleshooting: Troubleshoot HubSpot-related issues, ensuring optimal performance and resolving any roadblocks that may arise. Stay up-to-date with the latest HubSpot features and updates, proactively identifying opportunities for improvement. Mentorship and Technical Guidance: Provide technical guidance and mentorship to junior developers and team members, fostering a collaborative learning environment. Strategic Contribution: Contribute to the overall technical strategy and roadmap for HubSpot implementation and integration, ensuring alignment with company goals and industry standards. Collaboration and Communication: Work effectively with cross-functional teams, including sales, marketing, and product, to ensure smooth and efficient HubSpot implementation and integration. Communicate effectively with both technical and non-technical stakeholders to translate requirements into actionable solutions. Requirements: Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred. Experience: 3+ years of experience in software engineering, with a focus on CMS/CRM systems and marketing automation platforms (preferably HubSpot). Extensive hands-on experience with HubSpot CMS/CRM, including proficiency in HubSpot APIs, workflows, custom objects, and integrations. Technical Skills: Strong programming skills in languages such as JavaScript, Python, or Java. Experience with front-end technologies such as HTML, CSS, and modern JavaScript frameworks like React or Vue. Solid understanding of relational databases and data modeling concepts. Problem-Solving & Analytical Skills: Strong problem-solving abilities with a keen attention to detail. Ability to troubleshoot issues and optimize HubSpot performance. Communication and Collaboration: Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Ability to articulate complex technical concepts to non-technical stakeholders. Certifications (Preferred): HubSpot Developer Certification or similar certifications are preferred. Growth Opportunities: Enhance your skills by working on cutting-edge CRM solutions and with an innovative team. Collaborative Environment: Work in a cross-functional and dynamic environment, collaborating with talented professionals. Career Advancement: Take on leadership roles and contribute to strategic decision-making in an expanding organization. If you are passionate about building scalable and innovative CRM solutions, have a deep understanding of HubSpot, and enjoy working in a collaborative environment, we would love to hear from you. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred.

Job Title: Tech Lead (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 7 to 10 years Openings: 2 What You Will Do: Lead the design and development of scalable, high-performance AI/ML solutions. Define and implement AI/ML architecture and best practices across the team. Guide and mentor the AI/ML team in model development, optimization, and deployment. Work with large datasets to preprocess, analyze, and extract meaningful insights. Develop and optimize deep learning, NLP, and computer vision models. Architect end-to-end AI/ML pipelines, including data collection, model training, and deployment. Implement MLOps practices for continuous integration, deployment, and monitoring of ML models. Leverage cloud platforms (AWS, Azure, GCP) to deliver scalable AI/ML solutions. Collaborate with cross-functional teams to understand business challenges and deliver impactful AI-driven solutions. Stay abreast of the latest advancements in AI/ML and drive innovation within the team. What Qualifications You Will Need: Experience: 7-10 years in AI/ML development, with hands-on experience in designing and architecting AI/ML solutions. Technical Skills: Strong programming skills in Python. Expertise in deep learning, NLP, computer vision, and recommendation systems. Strong knowledge of data engineering, feature engineering, and automation of data pipelines. Experience in deploying AI/ML models on cloud platforms (AWS, Azure, GCP). Familiarity with big data technologies (Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to build and manage end-to-end production-grade AI services. Strong understanding of AI systems architecture. Ownership of solution quality, including functional, technical, performance, and compliance aspects. Hands-on experience with MLOps practices for continuous integration and deployment of ML models. Focus on leveraging AI to improve business outcomes. Deep interest in staying updated with the latest trends in the AI/ML field. Leadership mindset with the ability to guide and mentor developers. Experience with data pre-processing for structured and unstructured data (text, audio, video). Familiarity with document processing, Vision AI, and Audio AI. Expertise in building AI agentic systems using Langchain and Rasa. Experience with AI chatbots and voicebots. Familiarity with DevOps and CI/CD pipelines on cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving skills. Qualification : Any Graduate / Post Graduate

Job Description: Django Developer Description: The primary role is to design, develop, and maintain web applications using the Django framework. This involves writing server-side logic, managing databases, and ensuring application security and scalability. The developer will integrate their work for seamless functionality by collaborating with a cross-functional team and contributing to sprint ceremonies. Writing clean, efficient, reusable, and testable code that adheres to Python standards and best practices. Troubleshooting and debugging applications. Maintaining and updating existing source code to improve functionality and security. Cloud native application development and deployment mindset. Technical Skills and Qualification: Minimum of 5-8 years experience with development using Python Django Rest Framework. Strong knowledge and experience of RESTful APIs and services development. Strong understanding of front-end technologies (HTML, CSS, JavaScript). Strong knowledge of relational and non-SQL databases. Strong Experience with PostgreSQL or similar. Strong knowledge of Software Development Lifecycle. Design and develop high-quality web applications. Maintain and optimize existing codebases. Ensure the security and scalability of applications. Good understanding of development processes. Experience with Git repository and branching concepts. Experience of containerization development and deployment with Docker or similar. Knowledge and experience with cloud storage. Optional Skills: Knowledge of Artificial Intelligence, Generative AI, and LLM. Knowledge of Svelte - Front end framework. Knowledge of GCP deployment will be an advantage. Knowledge of Spanner embeddings will be an advantage. Key Programming Skillset: Development language: Python Framework: Django / Flask Qualifications: Bachelor s degree in computer science or engineering or similar preferred. Establish and maintain effective working relationships with peers, co-workers, and managers. Perform a wide variety of duties and responsibilities with accuracy and speed under the pressure of time-sensitive deadlines. Excellent interpersonal, communication, and organizational skills are essential to perform the tasks. Capable of reading existing code to debug or enhance. Qualification : Bachelors degree in computer science or engineering or similar preferred.

Job Description: We are seeking a talented and motivated Software Developer to join our team. In this role, you will be responsible for developing high-quality software design and architecture, ensuring that all projects are completed efficiently and to the highest standards. You will work closely with internal teams and vendors to improve products, perform thorough testing, and automate key tasks. Your contributions will help deliver innovative software solutions that meet the needs of our business and customers. Key Responsibilities: Design and develop high-quality software solutions, ensuring scalability, efficiency, and maintainability. Identify, prioritize, and execute tasks throughout the software development lifecycle. Write clean, efficient code and develop tools and applications as per business requirements. Automate repetitive tasks using appropriate tools and scripting. Perform code reviews, debugging, and testing to ensure quality software. Conduct validation and verification testing to guarantee software reliability. Collaborate with internal teams and external vendors to resolve issues and improve products. Document development phases, track project progress, and monitor system performance. Stay up-to-date with the latest technologies and integrate them into existing software solutions. Preferred Skills: Proven experience as a Software Developer, Software Engineer, or in a similar role. Expertise in software design and development in a test-driven environment. Proficiency in coding languages such as C#, ASP.NET, and hands-on experience with MS SQL. Strong understanding of database management and optimization techniques. Ability to quickly learn new programming languages and technologies. Excellent communication skills, both written and verbal. Strong resourcefulness, problem-solving aptitude, and troubleshooting skills. High attention to detail and commitment to delivering high-quality work. Required Technology Stack: ASP.NET with C#/VB.Net (Versions 3.5, 4.5 and above). MS SQL Server (2008, 2012, 2016). Experience with JQuery, JavaScript, and advanced JavaScript libraries. Working knowledge of Web Services, WCF, Web API, MVC, WFB. Proficiency with data formats such as JSON and XML. Desirable Skills: SQL Query Optimization Techniques. Experience with SSRS, SSIS, and Crystal Reports. Familiarity with Angular (versions 6, 8, or 10). Educational Requirements: B.Tech/B.E. in Electronics/Telecommunication, Computers, Electrical Engineering, or a related field. B.Sc in Computer Science, BCA in any specialization, or MCA in any specialization. This is an exciting opportunity for a motivated software professional to contribute to impactful projects while continuously improving and expanding their technical expertise. If you're passionate about software development and ready to take on new challenges, we encourage you to apply! Qualification : B.Tech/B.E. in Electronics/Telecommunication, Computers, Electrical Engineering, or a related field.

Position Title: Senior Software Engineer Position Summary: We are seeking a highly skilled Senior Software Engineer with a strong background in Java or the MERN stack (MongoDB, Express.js, React.js, Node.js). The ideal candidate will have 4-6 years of hands-on experience in developing and maintaining applications, and will play a key role in designing, developing, and deploying software applications. The Senior Software Engineer will collaborate with cross-functional teams to create scalable and efficient software solutions. Key Responsibilities: Software Development: Design, develop, and maintain large-scale software applications using Java or the MERN stack. Collaboration: Work closely with cross-functional teams to define, design, and implement new features. Design Ownership: Take ownership of high-level and low-level designs for each software application. Code Reviews: Conduct code reviews and provide constructive feedback to team members to ensure code quality and best practices. Performance Optimization: Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentorship: Mentor and guide junior developers, helping them grow their skills and contributing to team knowledge. Stakeholder Collaboration: Work with product managers and other stakeholders to understand requirements and deliver optimal solutions. Continuous Learning: Stay up to date with new technologies and trends, acquiring certifications as needed to meet project demands. AI/ML Exposure: Any exposure or experience with AI, ML, or Data Science will be an additional advantage. Required Skills and Qualifications: Proficiency in Java/MERN Stack: Strong experience in designing, developing, and maintaining software applications using Java, Python, or Node.js. Front-End Development: Expertise in React.js (knowledge of Angular is an added advantage). Database Knowledge: Experience with RDMS (Oracle, SQL Server, Postgres) and NoSQL databases like MongoDB. Web Technologies: Proficiency in HTML, CSS, JavaScript, and front-end frameworks. Open-Source Technologies: Extensive experience working with open-source technologies. DevOps & Cloud Knowledge: Well-versed in DevOps practices, cloud deployment (AWS, Azure), and cloud PaaS. Database Management Tools: Knowledge of database management tools like Liquibase or Hibernate is preferable. Version Control: Familiarity with Git and containerization tools like Docker. Software Development Lifecycle: Strong understanding of software development lifecycle processes and methodologies. Communication Skills: Excellent written and verbal communication skills to collaborate effectively within teams and with stakeholders. Cross-Functional Teamwork: Ability to work effectively in a cross-functional environment. AI/ML Advantage: Exposure to AI/ML frameworks (e.g., Keras, Pytorch, Scikit-learn) is a plus. Statistical & Mathematical Modeling: Knowledge of statistical analysis and mathematical modeling concepts is a plus. Education and Experience: Bachelor s Degree in Computer Science, Information Technology, Electronics, Communication, or related fields. Candidates with a degree in other branches of engineering but with proven skills through past experience/projects are also encouraged to apply. Additional Information: Experience Level: 4-6 years of relevant experience in software development. Certifications: Willingness to acquire certifications in new technologies as required by projects. Qualification : Bachelors Degree in Computer Science, Information Technology, Electronics, Communication, or related fields.