Regression Jobs in Gurgaon

Job Title: Associate Data Scientist - Social Media Analytics About this Role: Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated. What You ll Do: Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data. Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives. Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns. Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights. Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges. Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings. Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise. Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times. What You ll Need: Education: A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science. Experience: 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics. Technical Skills: Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools. Familiarity with AWS/Azure environments for training, testing, or deploying models. Machine Learning & NLP Knowledge: Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience. Data Preparation Skills: Expertise in data cleaning, normalization, and preparation for model training or inference. Analytical Mindset: Strong ability to identify patterns in unstructured datasets and provide actionable insights. Communication Skills: Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication. Critical Thinking & Problem-Solving: Strong analytical skills and the ability to think independently to solve complex problems. Eagerness to Learn: A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning. Research Techniques Understanding: Robust understanding of primary and secondary research methods. What We Offer: Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration. Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers. Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success. Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide. Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact! Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

Quality Assurance (QA) Engineer Location: Gurugram, India Type: Full-Time Experience: 2 5 Years Category: Technology / Quality Assurance About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is the leading enterprise software provider for financial planners in India. Our platform powers the top financial advisors in the country, enabling them to manage and optimize millions of investment transactions daily. If you want to help revolutionize how millions invest, join us to build the future of financial planning. Role Overview We are seeking a skilled Quality Assurance Engineer to join our tech team. You will own the quality of our software products by designing, developing, and executing test plans and automated test scripts, ensuring our fintech platform remains robust, reliable, and user-friendly. Key Responsibilities Understand user requirements and translate them into detailed test cases and scenarios. Develop, maintain, and execute automated test scripts using tools like Selenium, JMeter, PhantomJS, Jasmine, and JUnit. Perform manual testing for exploratory and regression testing. Collaborate closely with product owners, developers, and business analysts to clarify requirements and ensure thorough testing coverage. Identify, document, and track defects using issue-tracking tools. Contribute to the improvement of testing processes and test automation strategies. Monitor and analyze product quality metrics to ensure continuous improvement. Required Experience & Skills Bachelor s degree in Computer Science or related field, or equivalent professional experience. 2 5 years of experience in quality assurance and software testing, preferably in a fintech environment. Strong hands-on experience with test automation tools such as Selenium, JMeter, PhantomJS, Jasmine, and JUnit. Proficiency in manual testing methodologies, including functional, regression, and exploratory testing. Familiarity with Agile development methodologies and test lifecycle management. Experience with bug tracking and test management tools. Good problem-solving skills and attention to detail. Excellent communication skills and ability to work collaboratively in a remote or office setting. Perks & Benefits 5-day workweek with flexible timings and regular team-building activities. Group medical insurance for permanent employees covering up to 3 Lakhs. Access to free financial planning consultations tailored to your personal life stage. Support and guidance for starting or enhancing your personal investment journey. Join a dynamic team where your contributions directly impact how millions of people plan their financial futures. Grow your skills in a supportive environment that values innovation, ownership, and collaboration. Qualification : Bachelors degree in Computer Science or related field, or equivalent professional experience.

Job Title: System Test Engineer Location: Gurugram, India Experience Required: 5+ Years Job Type: Full-Time | Permanent About G+D Creating Confidence in the Digital Age Giesecke+Devrient (G+D) is a global technology leader trusted by billions for over 170 years. Specializing in integrated security technologies across Digital Security, Financial Platforms, and Currency Technology, we enhance trust and security in today s increasingly digital world. Our innovative solutions power physical and digital currencies, securing transactions and the cash cycle in collaboration with central banks and the currency industry worldwide. Join G+D and be part of shaping the future of payments and digital trust. Role Overview: As a System Test Engineer at G+D, you will be responsible for manual testing of High-Speed Banknote Processing Systems. You will engage in comprehensive system test planning, execution, and reporting within a cross-site agile scrum team based in India and Germany. This role is critical to ensuring the quality and reliability of our complex security solutions. Key Responsibilities: Analyze stakeholder and system requirements to define testing scope. Design, create, and maintain detailed test artifacts including Test Plans, Test Cases, and Coverage Matrices. Collaborate with lower-level testing teams to ensure end-to-end test coverage. Execute system and acceptance tests meticulously and report results. Conduct demos of completed functionalities for stakeholders. Work closely with development teams to plan and execute system integration testing. Partner with Product Owners to ensure comprehensive test coverage aligned with requirements. Adhere to organizational processes and quality standards throughout the testing lifecycle. Contribute to continuous improvement of the Product Development Life Cycle (PDLC). Document and report test results and manage defect tracking effectively. Required Skills & Qualifications: Bachelor s degree in Computer Science, Mechatronics, Electrical Engineering, or related technical field. Minimum 5 years of system testing experience, preferably with complex aggregate systems. Proficient with test management tools such as ALM, TFS/Azure DevOps, or Quality Center. Expertise in detailing test cases, conducting reviews, and managing defects. Hands-on experience with functional testing techniques: integration, system, and regression testing. Familiarity with Agile Development Life Cycle methodologies. Professional certification like CSTE or ISTQB is a plus. Strong analytical thinking, problem-solving skills, and ability to work independently. Excellent communication skills in multicultural and distributed teams. Preferred (Good to Have): Working knowledge of SQL, databases, Java, .NET applications, and web technologies. Experience with version control systems. At G+D, our people are our most valuable asset. We foster a diverse, inclusive, and inspiring work environment where professionalism and human values thrive. Your work here matters by joining us, you contribute to the security and trust of billions worldwide. Enjoy competitive benefits, opportunities for growth, and the chance to be part of an international team shaping the digital future. Apply now to become a vital part of G+D s journey in securing the digital age. Qualification : Bachelors degree in Computer Science, Mechatronics, Electrical Engineering, or related technical field.

Job Title: QA Engineer | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Company: Shipsy About Shipsy At Shipsy, we are at the cutting edge of logistics technology, revolutionizing how international trade is managed. Over the past 9 years, we have captured a dominant share of the Indian logistics market, with over 30% of the India courier/express industry running through our platform. We are also rapidly expanding in international markets including Saudi Arabia, UAE, North Africa, and Southeast Asia. Our SaaS-based platform addresses inefficiencies in global trade by offering solutions for shipment tracking, rate procurement, workflow management, and AI-based invoicing reconciliation. By automating logistics processes, we help 5 of the top 10 exporters and importers in India reduce costs and gain end-to-end shipment visibility. Backed by Sequoia Capital's Surge and Info Edge, with $8M in funding to date, Shipsy is on a growth trajectory and becoming the de facto platform for managing international trade. Role Overview: QA Engineer As a QA Engineer at Shipsy, you will be a key player in ensuring the quality and reliability of our platform. You will be responsible for testing our software products, identifying issues, and ensuring that high-quality standards are maintained throughout the development lifecycle. Your work will involve a combination of manual and automated testing, ensuring that our platform delivers flawless functionality to our users. You ll work closely with our development and product teams to detect and resolve defects before they impact the user experience. Key Responsibilities Test Planning & Execution: Develop and execute comprehensive test plans and test cases to ensure all aspects of the product are tested thoroughly. Manual & Automated Testing: Perform manual and automated testing to validate product functionality, ensuring high-quality standards are met across all stages of development. Bug Identification & Reporting: Identify, document, and track bugs and issues in the system, ensuring they are clearly communicated and addressed in a timely manner. Regression Testing: Conduct thorough regression testing to ensure that fixed bugs do not introduce new issues or negatively impact other system features. Testing Process Improvement: Develop and enhance testing processes for both new and existing products, contributing to continuous improvement in quality assurance practices. Collaboration with Development & Product Teams: Work closely with development and product teams to ensure quality is integrated into every phase of the software development lifecycle. Test Results Analysis: Analyze test results and produce detailed reports on software quality, identifying trends and areas for improvement. Staying Current with Testing Tools & Methodologies: Keep up-to-date with the latest testing tools and methodologies, integrating innovative techniques to improve product quality. Qualifications & Skills Experience: 2+ years of experience in Software QA with a focus on testing web applications or SaaS products. Technical Skills: Proficient in manual testing and automated testing tools (e.g., Selenium, JUnit, TestNG). Bug Tracking: Familiarity with bug tracking systems such as JIRA, Bugzilla, or similar platforms. Attention to Detail: Strong analytical skills with the ability to identify defects and ensure thorough testing across all use cases. Collaboration: Excellent communication skills to work effectively with development, product, and QA teams. Test Documentation: Experience in creating detailed test plans, test cases, and test reports. Problem-Solving: Strong problem-solving skills with the ability to think critically and independently. Educational Background: A degree in Computer Science, Engineering, or a related field is preferred. Innovative Work Culture: Be part of a fast-growing company at the forefront of logistics technology. Contribute to a platform used by major global players in the logistics industry. Growth Opportunities: We offer continuous learning opportunities, and you ll be working alongside talented professionals who are passionate about problem-solving and innovation. Competitive Salary & Benefits: Shipsy offers a competitive salary, performance-based incentives, and world-class employee benefits to help you thrive in your career.

Job Title: Senior QA Engineer Location: Gurugram, India Job Type: Full-Time Experience Level: 5+ Years Overview: We are looking for a highly motivated and skilled Senior QA Engineer with 5+ years of experience to join our dynamic team. In this role, you will have the opportunity to work on challenging and impactful projects, significantly contributing to the success of our products. You will be a key member of the engineering team, collaborating closely with developers, product managers, and designers to deliver high-quality software in a fast-paced, innovative environment. At our company, we value ownership, collaboration, and a proactive approach to problem-solving. We encourage continuous learning and innovation within a supportive and collaborative environment. Key Responsibilities 1. Test Planning & Strategy Develop and execute comprehensive test plans and strategies, including risk assessments and test coverage analysis. Collaborate with the development team to define acceptance criteria and ensure testability of features. Participate in sprint planning and grooming sessions to provide valuable QA input. 2. Test Execution & Automation Design, develop, and maintain automated test scripts using appropriate testing frameworks (e.g., Selenium, Cypress, JUnit). Perform manual and automated testing, including functional, regression, integration, performance, security, and usability testing. Analyze test results, identify, and document defects effectively using bug-tracking tools. 3. Quality Assurance Advocate for quality throughout the entire software development lifecycle, from requirements gathering to release. Proactively identify and mitigate potential quality risks. Contribute to continuous improvement of our testing processes and methodologies. 4. Collaboration & Communication Effectively communicate testing progress, issues, and findings to the development team and other stakeholders. Build and maintain strong relationships with cross-functional teams. Participate in code reviews and provide constructive feedback. 5. Data Analysis Analyze test data and generate comprehensive test reports to track progress and identify trends. Utilize data analysis techniques to improve test effectiveness and efficiency. Qualifications Experience 5+ years of proven experience as a QA Engineer in an agile development environment. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus. Technical Skills Strong understanding of software development principles and methodologies (e.g., Agile, Scrum, DevOps). Proficiency in API testing using tools like Postman, SoapUI, or REST Assured. Familiarity with SQL and scripting languages (e.g., Python, Groovy). Experience with performance and load testing tools (e.g., JMeter, LoadRunner) is a plus. Dynamic Work Environment: Work on challenging projects that have a direct impact on the product s success. Collaborative Culture: Be part of a supportive, collaborative environment that values innovation and continuous learning. Career Growth: Opportunity to contribute to the continuous improvement of processes while growing within a fast-paced organization. Competitive Benefits: Receive competitive compensation and benefits for your hard work. If you are an experienced Senior QA Engineer passionate about ensuring the quality and success of cutting-edge software products, we encourage you to apply now and become a part of our dynamic team.

Location: Gurugram Experience: 3-5 Years No. of Positions: 2 Job Brief We are looking for a skilled Web & Mobile Application Tester with expertise in manual and automation testing. The ideal candidate will work closely with Agile Scrum teams, ensuring the highest software quality standards across web and mobile platforms. This role requires hands-on experience in test automation, API validation, and database testing. Key Responsibilities Testing & Quality Assurance Perform Web & Mobile Application Testing using both manual and automation approaches. Conduct functional, regression, UI/UX, API, and database testing to ensure product reliability. Develop comprehensive test plans and strategies in alignment with Agile best practices. Lead testing efforts across multiple products, ensuring quality compliance. Test Automation Develop, maintain, and execute automated test scripts using: Selenium (Java) Web testing Playwright (JavaScript) UI automation Appium Mobile application testing Automate API testing using tools like Postman & Rest Assured. Conduct database testing using MongoDB queries to validate data consistency. Collaboration & Continuous Improvement Work within Agile Scrum teams, integrating quality assurance early in the SDLC. Participate in requirements and design reviews to ensure testability and user alignment. Enhance automation frameworks, optimize execution suites, and expand test coverage. Provide technical guidance and work closely with the Customer Success team to resolve escalations. Monitor release quality criteria and provide objective assessments before deployment. Skills & Qualifications Must-Have: Strong experience in manual and automation testing for web & mobile applications. Hands-on expertise in Selenium (Java), Playwright (JavaScript), Appium (Mobile). Proficiency in API testing using Postman, Rest Assured. Experience in database testing with MongoDB queries. Understanding of Agile methodologies and test-driven development. Ability to lead and manage testing efforts for multiple products. Strong analytical, problem-solving, and communication skills. Good to Have: Experience in the logistics and transportation domain is a plus. Prior experience with CI/CD pipelines and DevOps integration. Knowledge of performance and security testing tools. Join our team and play a key role in delivering high-quality web and mobile applications!

Senior QA Engineer

Quality Control Manager gTech Location: Gurugram, Haryana, India Minimum Qualifications Bachelor s degree in Business, Logistics, Operations, Engineering, or a related field or equivalent practical experience 5+ years of experience managing vendor teams and customer engagement 5+ years of experience with third-party logistics (3PL) relationships 5+ years of experience managing warehousing and supply chain operations Certification or coursework in Operations Six Sigma, COPC, LEAN, or similar methodologies Preferred Qualifications MBA or Master s degree 5+ years of experience using data analysis and business insights to guide strategic decisions Experience in data center logistics Proficiency in SQL and strong data analysis capabilities About the Role As a Quality Control Manager within Google s gTech Ads team, you will lead quality operations efforts that directly impact the customer experience and operational excellence across Google Ads support. Your role will focus on driving efficiency and accuracy in collaboration with vendor partners, operations teams, and product stakeholders. You will be responsible for aligning operational workflows with strategic business goals and ensuring scalable, high-impact solutions through data-driven insights and process optimization. You ll contribute to a dynamic, global support ecosystem that powers advertisers of all sizes from small businesses to global brands while shaping best-in-class customer support quality standards. Responsibilities Lead and improve quality operations with vendor partners, ensuring a frictionless customer experience Translate business and operational requirements into measurable quality outcomes Manage and evolve quality workflows in partnership with internal teams and cross-functional stakeholders Analyze market and business data, financial indicators, and performance trends to inform decision-making Navigate a matrixed, multicultural global environment with effective stakeholder engagement Provide feedback and insights to influence tools, automation, and roadmap decisions Balance business goals and customer needs to optimize performance and service impact Qualification : MBA or Masters degree

Job Description: Quality Assurance Analyst (QA) The Quality Assurance Analyst (QA) is responsible for assessing the quality of the performance of our call center associates who deal with our existing and potential customers. The QA will monitor inbound and outbound calls or email responses to assess associates communication, technical accuracy, customer service performance, and conformity to company policies and procedures. Roles and Responsibilities: Auditing of calls and complete analysis of service requests. Sharing One-on-One Feedback with agents based on audits. Works with the Operations team to develop the overall process improvement strategy and quality plan. Monitoring if the Customer Care Executive (CCE) has used the right telephone etiquette, followed appropriate hold procedures, and provided a proper resolution for the customer s request. Highlighting issues as per the quality parameters. Sharing daily reports and Quality Scores with the team. Participating in internal & external calibration sessions with Quality/Operations. Extensive experience working as a Quality Analyst in the BPO/KPO Sector. Experience: Total Experience: 1+ Years Working Days: 6 Days Working Education: Any Graduate Skills: Excellent verbal, written, and interpersonal communication skills. Exceptional listening and analytical skills. Proficiency with Microsoft Office (intermediate Word, basic Excel). Outstanding customer service skills and dedication to providing exceptional customer care. Ability to multitask and successfully operate in a fast-paced, team environment.

Job Title: Software QA R&D Engineer (EDA Software Testing & Quality Assurance) Overview: Keysight Technologies is at the forefront of technological innovation, delivering breakthroughs and trusted insights across electronic design, simulation, prototyping, testing, manufacturing, and optimization. With approximately 15,000 employees globally, we provide world-class solutions across communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets, serving customers in over 100 countries. Learn more about what we do at Keysight. Our award-winning culture drives our vision of where technology can take us, fueling a passion for solving challenging problems with industry-first solutions. Diversity, equity, and inclusion are core to our culture and innovation at Keysight. We believe that when people feel a sense of belonging, they thrive and contribute to creating innovative solutions. We are seeking a Software QA R&D Engineer to join our Keysight R&D Centre in Gurgaon/Bangalore, India. This role is focused on testing and quality assurance of Keysight's EDA software. The Software QA Engineer will play a critical role in ensuring the quality and reliability of Keysight s RF/Microwave, HSD, and Power Electronics solutions through Agile Software Development and comprehensive testing methodologies. Key Responsibilities: Test Plan Development: Develop, execute, and maintain test plans for functionalities in EDA tools. Software Testing & Verification: Validate and test design flows, ensuring seamless integration with other EDA tools. Automation: Design and implement automated test cases using scripting languages like Python or Perl for physical verification workflows, including CI/CD pipelines. Bug Tracking & Documentation: Track and document issues using Jira, collaborating with developers for timely issue resolution. Contribute to project documentation using Confluence for collaboration and knowledge sharing. Version Control: Manage testing frameworks and integrate them with Git for source control, ensuring robust testing processes and traceability for changes. CI/CD & Build Automation: Utilize tools like Jenkins for continuous integration, automating build and test processes to validate frequent tool updates efficiently. Defect Identification & Debugging: Identify, document, and track defects, performing detailed debugging and working with development teams to resolve issues. Customer Support: Reproduce and resolve customer-reported issues related to EDA tools, ensuring enhancements to product quality. Cross-functional Collaboration: Collaborate with foundry partners to validate rule decks and stay updated with new physical verification methodologies, supporting evolving design processes. Qualifications: Education: Bachelor s or Master s degree in Electronics and Telecommunication (ECE), or an equivalent field. Experience: 8+ years in EDA software QA validation, with extensive knowledge in RF Microwave and Physical Verification. Experience creating end-to-end designs within the EDA domain. Tool Expertise: Experience with tools such as Assura, PVS, Calibre (e.g., Cadence, Siemens Mentor, Synopsys, Ansys) in IC/Board/Module design flows. Proficient in Design Rules: Experience developing DRC/LVS/ERC rules for IC/Module/PCB applications using tools like Cadence, Mentor, Synopsys, Ansys. Physical Verification QA Experience: Experience with Physical Verification QA is highly desired. PDK Quality Assurance engineers with Physical Verification experience are encouraged to apply. Scripting & Automation: Strong experience in scripting languages such as Python for automating testing workflows. Proficiency in automated testing tools like Google test and pytest is preferred. Software Build & Test: Experience working with Jenkins for builds and tests on Windows and Linux operating systems. Familiarity with CMake and source code management systems like Git. CI/CD Pipeline: Familiarity with CI/CD pipelines for build automation and testing. Issue Tracking & Collaboration Tools: Strong knowledge of Jira for issue tracking and Confluence for project collaboration. Attention to Detail: Excellent analytical, problem-solving, and debugging skills, with a keen eye for detail. Fast-paced Environment: Ability to work effectively under pressure with tight deadlines. Collaboration: Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Proactive Learner: A proactive attitude towards continuous learning and self-improvement, driven by a passion for software quality and customer satisfaction. Qualification : Bachelors or Masters degree in Electronics and Telecommunication (ECE), or an equivalent field.

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model enables a culture of collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. Certain business groups may require more time in the office due to their roles. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

We are looking for a highly skilled test automation engineer to design automation tests. Test automation engineers' duties include designing automation scripts and finding solutions for automation problems. Role And Responsibilities: Review and analyse requirements, specifications, and technical design documents, providing timely feedback Develop detailed, comprehensive, and well-structured test plans and test cases Executing regression and automation suite. Prioritize and plan testing activities Play the role of test engineer: Design, develop, and execute automated tests Identify and report issues found, then verify that issues are resolved Perform regression testing Required Skills and Capabilities: Expertise in Core JAVA, C# or Python and OOPS concepts Expertise in Automation using Selenium/UFT/Test Complete/Protractor etc. Knowledge of Web Service Rest API testing Hands-on Mobile Automation tools is an added advantage Excellent understanding of the Testing Lifecycle and the different types of testing such as Functional and Integration Testing Knowledge of the different life cycle development models and methodologies used to develop large software-intensive platforms Ability to understand existing Test Processes and Plans and identify improvements and efficiencies. Experience with virtualised products/services/solutions Proven work experience in software quality assurance Strong knowledge of software QA methodologies, tools, and processes Hands-on experience with automated testing tools A keen eye for detail and a commitment to excellence Be willing to help your teammates, share your knowledge with them, and learn from them Be open to receiving constructive feedback and turning it into process improvements