2240 Scoring Jobs - Page 45

We are hiring full time faculty for NEBOSH IGC , IOSH MS and other Health and Safety training. those who are Smart, energetic, passion for Teaching with hands-on can apply this profile. Descriptions Train as per proforma, Class schedule, Lesson planning , Motivation training, Induction training, Fire and rescue practical training, Project assessment, project management, Risk profiling, and auditing with record maintaining. Desired Those who have solid experience in abroad as Safety officer with NEBOSH IGC, IOSH MS ,Nebosh IDip with gradIOSH(certIOSH) membership are mandatory . The training profile for full time scoring at Ernakualam office Near CUSAT signal, south kalamassery 682033 Criteria Time schedule from morning 9:00 Am to 5:00 PM, Monday to Saturday. Public holidays are according to Al Salama calendar. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Internet reimbursement Schedule: Monday to Friday Weekend availability Education: Bachelor's (Preferred) Experience: Making lesson Plans: 1 year (Preferred) Teaching: 1 year (Required) Abroad: 2 years (Required) License/Certification: IOSH membership (Preferred) GradIOSH Membership (Preferred) Nebosh IGC Certificate (Preferred) Work Location: In person

We are seeking a talented individual to join our GIS Team at MMC Corporate This role will be based in Gurgaon/Noida. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Cyber Security Risk Vulnerability Scoring What can you expect? Work on Cybersecurity Risk Adjusted Vulnerability Scoring (RAVS) Program. This enterprise-level initiative is critical to transforming the measurement, prioritization, and response to cybersecurity vulnerabilities by leveraging integrated systems, threat intelligence, and contextual organizational data We will count on you to: Program Oversight 1. Lead the development, implementation, and ongoing management of the enterprise RAVS program. 2. Integrate data form vulnerability scanners, CMDB, threat intel feeds, cybersecurity systems, and internal business systems to generate dynamic risk adjusted vulnerability scores. 3. Collaborate with internal teams across cybersecurity, IT, risk, business units, data analytics to continuously refine RAVS logic and scoring models. 4. Develop operational playbook and prioritization framework that aligns vulnerabilities response to true business risk. RAVS Day-to- Day Operations and Risk Management 1. Monitor, triage, and escalate enterprise vulnerabilities based on RAVS output and threat indicators. 2. Provide real-time situational awareness and technical direction during vulnerability-related incidents and assessments. 3. Ensure integration and alignment between RAVS and enterprise vulnerability management platforms, SIEM, SOAR, threat intel, and cloud security tools. 4. Track remediation efforts, metrics, SLAs & SLOs adherence, and risk decisions. 5. Generate executive-level dashboards and reports to communicate vulnerability risk posture and trends. Platform Management 1. Oversee functionality and data quality for critical systems. 2. Managing the operational health and data flows between vulnerability detection system, threat intelligence sources, asset inventories, and risk engines. 3. Ensuring business context and asset criticality are mapped into RAVS platform to support accurate risk prioritization. 4. Cross coloration with detection engineering and VMED to maintain score calculation logic, rule sets, and automation flows. 5. Maintaining process documentation, operational runbooks, and continuous improvement workflows for all integrated components. What you need to have: Security Cloud Tools: Assist with the evaluation and selection of vulnerability management tools that integrate seamlessly with various cloud environments and provide fine granular access controls and CMDB attributers such as asset ownership. Integration: Integrate the security cloud tools with other security tools and systems, including the SIEM solutions, change ticketing systems, etc Launch awareness campaigns to promote secure practices and vulnerability management, emphasizing the unique challenges of cloud environments. CISSP, CISM, AWS Certified Security Specialist, or similar advanced cloud security certifications preferred. What you need to have: Security Cloud Tools: Assist with the evaluation and selection of vulnerability management tools that integrate seamlessly with various cloud environments and provide fine granular access controls and CMDB attributers such as asset ownership. Integration: Integrate the security cloud tools with other security tools and systems, including the SIEM solutions, change ticketing systems, etc Launch awareness campaigns to promote secure practices and vulnerability management, emphasizing the unique challenges of cloud environments. CISSP, CISM, AWS Certified Security Specialist, or similar advanced cloud security certifications preferred. What makes you stand out? 7+ Years Experience in Vulnerability Management, incident response, cloud security, or cybersecurity related fields Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan (NYSE: MMC) is the world’s leading professional services firm in the areas of risk, strategy and people. The Company’s more than 85,000 colleagues advise clients in over 130 countries. With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh provides data-driven risk advisory services and insurance solutions to commercial and consumer clients. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and well being for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit marshmclennan.com, or follow us on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

We are seeking a talented individual to join our GIS Team at MMC Corporate This role will be based in Gurgaon. This is a hybrid role that has a requirement of working at least three days a week in the office. Associate Director - Cyber Security Risk Vulnerability Scoring What can you expect? To oversee and manage the Cybersecurity Risk Adjusted Vulnerability Scoring (RAVS) Program. This enterprise-level initiative is critical to transforming the measurement, prioritization, and response to cybersecurity vulnerabilities by leveraging integrated systems, threat intelligence, and contextual organizational data We will count on you to: Program Oversight 1. Lead the development, implementation, and ongoing management of the enterprise RAVS program. 2. Integrate data form vulnerability scanners, CMDB, threat intel feeds, cybersecurity systems, and internal business systems to generate dynamic risk adjusted vulnerability scores. 3. Collaborate with internal teams across cybersecurity, IT, risk, business units, data analytics to continuously refine RAVS logic and scoring models. 4. Develop operational playbook and prioritization framework that aligns vulnerabilities response to true business risk. RAVS Day-to- Day Operations and Risk Management 1. Monitor, triage, and escalate enterprise vulnerabilities based on RAVS output and threat indicators. 2. Provide real-time situational awareness and technical direction during vulnerability-related incidents and assessments. 3. Ensure integration and alignment between RAVS and enterprise vulnerability management platforms, SIEM, SOAR, threat intel, and cloud security tools. 4. Track remediation efforts, metrics, SLAs & SLOs adherence, and risk decisions. 5. Generate executive-level dashboards and reports to communicate vulnerability risk posture and trends. Platform Management 1. Oversee functionality and data quality for critical systems. 2. Managing the operational health and data flows between vulnerability detection system, threat intelligence sources, asset inventories, and risk engines. 3. Ensuring business context and asset criticality are mapped into RAVS platform to support accurate risk prioritization. 4. Cross coloration with detection engineering and VMED to maintain score calculation logic, rule sets, and automation flows. 5. Maintaining process documentation, operational runbooks, and continuous improvement workflows for all integrated components. Leadership and Collaboration 1. Cross Functional Collaboration: Support and collaborate with development, business CISOs, operations, and cloud teams across the enterprise to ensure effective vulnerability management practices. 2. Support VMED with various project-based initiatives (creation of KPIs, onboarding of new tools, etc.). 3. Drive ongoing assessments of RAVS program’s effectiveness, identify areas for tuning, optimization, or automation. 4. Collaborate with governance, risk, and compliance teams to align scoring outcomes with organizational risk thresholds and reporting needs. 5. Lead training and onboarding of cross-functional stakeholders who interact with RAVS platform and outputs. 6. Partner with Security Operations and other Detection & Response Teams (DART) to embed RAVS data into incident response and remediation workflows. 7. Support audit and regulatory readiness activities by ensuring RAVS processes and records meet enterprise and compliance standards. What you need to have: Security Cloud Tools: Assist with the evaluation and selection of vulnerability management tools that integrate seamlessly with various cloud environments and provide fine granular access controls and CMDB attributers such as asset ownership. Integration: Integrate the security cloud tools with other security tools and systems, including the SIEM solutions, change ticketing systems, etc Launch awareness campaigns to promote secure practices and vulnerability management, emphasizing the unique challenges of cloud environments. CISSP, CISM, AWS Certified Security Specialist, or similar advanced cloud security certifications preferred. What makes you stand out? 10+ Years Experience in Vulnerability Management, incident response, cloud security, or cybersecurity related fields, with at least 3 years’ experience in a senior technical role. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan (NYSE: MMC) is the world’s leading professional services firm in the areas of risk, strategy and people. The Company’s more than 85,000 colleagues advise clients in over 130 countries. With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh provides data-driven risk advisory services and insurance solutions to commercial and consumer clients. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and well being for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit marshmclennan.com, or follow us on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person Attachments Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marshmclennan.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

About the Role: Grade Level (for internal use): 10 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team, you will design, build, and optimize enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will help define architecture standards, mentor junior engineers, and champion best practices in an AWS-based ecosystem. You’ll lead by example in a highly engaging, global environment that values thoughtful risk-taking and self-initiative. What’s in it for you: Drive solutions at enterprise scale within a global organization Collaborate with and coach a hands-on, technically strong team (including junior and mid-level engineers) Solve high-complexity, high-impact problems from end to end Shape the future of our data platform-build, test, deploy, and maintain production-ready pipelines Responsibilities: Architect, develop, and operate robust data extraction and automation pipelines in production Integrate, deploy, and scale ML models within those pipelines (real-time inference and batch scoring) Lead full lifecycle delivery of complex data projects, including: Designing cloud-native ETL/ELT and ML deployment architectures on AWS (EKS/ECS, Lambda, S3, RDS/DynamoDB) Implementing and maintaining DataOps processes with Celery/Redis task queues, Airflow orchestration, and Terraform IaC Establishing and enforcing CI/CD pipelines on Azure DevOps (build, test, deploy, rollback) with automated quality gates Writing and maintaining comprehensive test suites (unit, integration, load) using pytest and coverage tools Optimize data quality, reliability, and performance through monitoring, alerting (CloudWatch, Prometheus/Grafana), and automated remediation Define-and continuously improve-platform standards, coding guidelines, and operational runbooks Conduct code reviews, pair programming sessions, and provide technical mentorship Partner with data scientists, ML engineers, and product teams to translate requirements into scalable solutions, meet SLAs, and ensure smooth hand-offs Technical Requirements: 4-8 years' hands-on experience in data engineering, with proven track record on critical projects Expert in Python for building extraction libraries, RESTful APIs, and automation scripts Deep AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch, and Terraform Containerization and orchestration: Docker (mandatory) and Kubernetes (advanced) Proficient with task queues and orchestration frameworks: Celery, Redis, Airflow Demonstrable experience deploying ML models at scale (SageMaker, ECS/Lambda endpoints) Strong CI/CD background on Azure DevOps; skilled in pipeline authoring, testing, and rollback strategies Advanced testing practices: unit, integration, and load testing; high coverage enforcement Solid SQL and NoSQL database skills (PostgreSQL, MongoDB) and data modeling expertise Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack) Excellent debugging, performance-tuning, and automation capabilities Openness to evaluate and adopt emerging tools, languages, and frameworks Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or a related field Prior contributions to open-source projects, GitHub repos, or technical publications Experience with infrastructure as code beyond Terraform (e.g., CloudFormation, Pulumi) Familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317427 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

Support and test a cohesive information / data management and strategy across AWM for traditional and cloud solutions. Responsible for Data Management and cataloging the AWM data lake. Design appropriate processes to oversee data lake expansion efforts to a wide range of users and outline appropriate data management and data use guidelines. Close partnership with Data Enablement technology team to develop cloud-enabled campaigns, list execution, model scoring and Business Intelligence capabilities. Provide input on tool and technology selection and shares evolving best practices. Partner with business users/advanced analytics teams to provide technical insight/input on how to best acquire, process, store and manage data. Ensure adherence to enterprise data governance standards. Key Responsibilities Understanding business requirements and complex strategies to implement data warehouse and campaign lists processes for customers. Ensuring Six Sigma levels of quality with automated privacy and audit controls. Manages the information management team which is responsible for Campaigns management, Analytics Models implementation, Analytics Data Warehouse implementation and management. Develop specific processes with data curation team to support data curation for different use cases and required views of the data, model scoring, validation, reporting, list production etc. to support implementation and delivery of any type of analytic solution Develop KPIs for monitoring lake use & storage, etc. to inform uptake Work closely with technology partners for data architecture, access controls, governance and system Define user profiles to determine data access and tool access rules. Develop user agreement policies and guidelines with internal audit and risk management and GCO to ensure appropriate data use Work with Domain Owners and Quality Assurance lead to develop and implement a consistent testing strategy and process for curated data elements Identify data quality gaps and devise remediation plan including prioritization and funding in concert with data owners and business stakeholders Coordinate with Analytic Tools workstream to create plan for bringing new tools to the data lake and inform lake users about training opportunities Required Qualifications Fresher - 0-6 months experience Strong quantitative/analytical/programming and problem-solving skills B.Tech/B.E. from a reputed institute - minimum 60% marks or equivalent Programming knowledge in at least one of the languages- C/Java/Python Excellent knowledge of MS Excel, PowerPoint and Word Strong and consistent academic performance Highly motivated self-starter with excellent verbal and written communication skills Ability to work effectively in a team environment on multiple projects and drive results through direct and Indirect influence Preferred Qualifications Working knowledge of Power Automate or Power BI. About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S President's Office Job Family Group Data

OR 1.Handling leads that are received through online digital 2.marketingResearch and evaluate clients' 3.creditworthiness after checking all documents 4.Create credit scoring models to predict risks. 5. Approve or reject loan requests, based on credibility and potential revenues and losses. 6. Calculate and set interest rates. 7. Negotiate loan Job Types: Full-time, Permanent, Fresher, Internship Pay: From ₹300,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Morning shift Experience: Credit analysis: 1 year (Preferred) Willingness to travel: 25% (Preferred) Work Location: In person

Roles & Responsibilities:  Understand and design solutions to Business problems leveraging Data science and AI  Should be able to understand and gather the requirement from Stakeholders.  Propose and execute the solution and present the deliverables to Stakeholders.  Manage and optimize the deliverables.  Mentor and Train new team members.  Develop POCs to enhance teams’ capability. Skillsets 1: Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models.  Experience training and evaluating ML models. Perform statistical analysis of results and refine models.  Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets.  Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.  Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modelling.  Use various statistical techniques and ML methods to perform predictive modelling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business.  Stronghold on Visualization tool (or libraries) like SAS Visual Analytics, Tableau, Python, etc.  Expert in working on Statistical tools (Python/R/SAS).  Experience with cloud computing infrastructure like AWS/Azure/GCP.  Able to develop, test and deploy models on Cloud/Web. Skillsets 2: 1.BERT and Transformer Models: Proficiency in working with BERT and other transformer-based models for various NLP tasks, such as text classification, named entity recognition, question answering, and text generation. Familiarity with fine-tuning BERT on specific downstream tasks using techniques like transfer learning and domain adaptation. 2.Natural Language Processing (NLP): Strong understanding of NLP techniques, including text preprocessing, information extraction, text representation, sentiment analysis, named entity recognition, topic modeling, and information retrieval. 3.Machine Learning and Deep Learning: Proficiency in machine learning and deep learning algorithms and frameworks, such as TensorFlow, PyTorch, scikit-learn, or Keras. Ability to train and evaluate NLP models using supervised and unsupervised learning techniques. 4.Programming Languages: Proficiency in programming languages commonly used in NLP, such as Python, Java, or C++. Ability to write efficient and clean code for data manipulation, model development, and deployment. 5.NLP Libraries and Tools: Familiarity with popular NLP libraries and tools, such as NLTK, SpaCy, Gensim, Stanford NLP, or CoreNLP. Ability to leverage existing librariesfor various NLP tasks and adaptthem to specific use cases. 8.Continuous Learning: Proactive approach to staying updated with the latest advancements in NLP research, technologies, and best practices. Active participation in conferences, workshops, and online forums. Qualifications  MCA/BE/B. Tech. /MBA/M.Stat./M.sc. or equivalent degree in Quant. from reputed institute.  3+ years of relevant experience. Soft Skills:  Excellent organizational skills and ability to prioritize wide range of tasks  Demonstrated initiative and creativity - ability to influence (add value)  Strong interpersonal, communication, organizational and planning skills.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Description Primary Skills: SAP FSCM (Financial Supply Chain Management) Expertise in configuring and implementing SAP FSCM modules. Understanding of financial processes related to credit, collections, dispute management, and treasury. Credit Management Setup and configuration of SAP Credit Management (SAP CM). Credit scoring, risk assessment, and exposure management. Integration with SAP SD for real-time credit checks. Dispute Management Implementation of SAP Dispute Management for efficient case resolution. Workflow automation for dispute tracking and collaboration. Collections Management Configuration of collection strategies and automated reminders. Worklist creation for collection agents and follow-ups. Biller Direct Implementation of SAP Biller Direct for online invoicing and payments. Enhancing user experience with self-service billing portals. Treasury and Risk Management (TRM) Experience in SAP TRM for cash flow forecasting and investment management. Exposure to market and credit risk management within SAP. Job Description - Grade Specific Secondary Skills: SAP FI (Financial Accounting) Integration SAP SD (Sales and Distribution) Integration Knowledge of S/4HANA Finance Workflow Configuration Strong Communication and Stakeholder Management Skills Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Job Summary: The Credit Manager is responsible for managing the credit-granting process for the organization, including the consistent application of a credit policy, periodic credit reviews of existing customers, and the assessment of the creditworthiness of potential customers. The role also involves improving cash flow and minimizing bad debt losses. Key Responsibilities: Develop and implement credit policies and procedures to ensure effective risk management. Evaluate creditworthiness of customers using credit scoring systems, financial analysis, and background checks. Set credit limits based on customer risk profiles and company standards. Monitor accounts to identify overdue payments and potential bad debts. Lead the credit approval process and work with sales and finance departments to resolve credit issues. Maintain accurate records of all credit transactions, customer interactions, and payment histories. Prepare regular reports on credit and collection activities, bad debts, and risk exposure. Negotiate payment plans with clients and follow up on collection processes. Ensure compliance with legal and regulatory credit requirements. Supervise credit analysts or collections staff (if applicable). Qualifications: Bachelor’s degree in Finance, Accounting, Business Administration, or related field. Proven experience as a Credit Manager or in a similar role. Strong understanding of credit risk assessment and financial analysis. Familiarity with accounting software and credit management tools (e.g., SAP, Oracle, QuickBooks). Excellent analytical, negotiation, and communication skills. High attention to detail and strong organizational abilities. Preferred Skills: Certification in credit management (e.g., NACM, CFA, CPA) is a plus. Experience in the industry relevant to the employer (e.g., manufacturing, banking, retail). Ability to work under pressure and handle difficult conversations diplomatically. Job Type: Full-time Pay: ₹35,000.00 - ₹45,000.00 per month Benefits: Cell phone reimbursement Health insurance Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Quarterly bonus Shift allowance Yearly bonus Work Location: In person

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant – AI/ML Seeking an experienced GenAI/ML Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration. Major focus should be at Gemni as CVS is GCP shop. Responsibilities AI Application Development – Build and maintain Python-based AI services using LangChain, and CrewAI. Implement RAG-based retrieval and Agentic AI workflows. LLM Integration & Optimization – Integrate Gemni, OpenAI, Azure OpenAI APIs. Optimize API calls using temperature, reduce hallucinations using embedding-based retrieval (FAISS, Pinecone). Model Evaluation & Performance Tuning – Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. API & Microservices Development – Design scalable RESTful APIs services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting. Cloud Deployment & Orchestration – Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement LangChain for AI workflow automation. Agile Development & Innovation – Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases. Qualifications we seek in you! Minimum Qualifications BE /B.Tech/M.Tech/MCA Experience in AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone Experience in LLMs & APIs: OpenAI, LangChain, CrewAI Experience in Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD Experience in Security & Compliance: OAuth2, JWT, HIPAA Preferred qualifications Experience in AI/ML, LLM integrations, and enterprise cloud solutions Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval Strong knowledge of scalable AI architectures and security best practices Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Principal Consultant Primary Location India-Noida Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 1, 2025, 4:51:01 AM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time

About the Role: Grade Level (for internal use): 09 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will build and maintain enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient, production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging, global environment that encourages thoughtful risk-taking and self-initiative. What’s in it for you: Be part of a global company and deliver solutions at enterprise scale Collaborate with a hands-on, technically strong team (including leadership) Solve high-complexity, high-impact problems end-to-end Build, test, deploy, and maintain production-ready pipelines from ideation through deployment Responsibilities: Develop, deploy, and operate data extraction and automation pipelines in production Integrate and deploy machine learning models into those pipelines (e.g., inference services, batch scoring) Lead critical stages of the data engineering lifecycle, including: End-to-end delivery of complex extraction, transformation, and ML deployment projects Scaling and replicating pipelines on AWS (EKS, ECS, Lambda, S3, RDS) Designing and managing DataOps processes, including Celery/Redis task queues and Airflow orchestration Implementing robust CI/CD pipelines on Azure DevOps (build, test, deployment, rollback) Writing and maintaining comprehensive unit, integration, and end-to-end tests (pytest, coverage) Strengthen data quality, reliability, and observability through logging, metrics, and automated alerts Define and evolve platform standards and best practices for code, testing, and deployment Document architecture, processes, and runbooks to ensure reproducibility and smooth hand-offs Partner closely with data scientists, ML engineers, and product teams to align on requirements, SLAs, and delivery timelines Technical Requirements: Expert proficiency in Python, including building extraction libraries and RESTful APIs Hands-on experience with task queues and orchestration: Celery, Redis, Airflow Strong AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch Containerization and orchestration: Docker (mandatory), basic Kubernetes (preferred) Proven experience deploying ML models to production (e.g., SageMaker, ECS, Lambda endpoints) Proficient in writing tests (unit, integration, load) and enforcing high coverage Solid understanding of CI/CD practices and hands-on experience with Azure DevOps pipelines Familiarity with SQL and NoSQL stores for extracted data (e.g., PostgreSQL, MongoDB) Strong debugging, performance tuning, and automation skills Openness to evaluate and adopt emerging tools and languages as needed Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or related field 2-6 years of relevant experience in data engineering, automation, or ML deployment Prior contributions on GitHub, technical blogs, or open-source projects Basic familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317425 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 10 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team, you will design, build, and optimize enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will help define architecture standards, mentor junior engineers, and champion best practices in an AWS-based ecosystem. You’ll lead by example in a highly engaging, global environment that values thoughtful risk-taking and self-initiative. What’s in it for you: Drive solutions at enterprise scale within a global organization Collaborate with and coach a hands-on, technically strong team (including junior and mid-level engineers) Solve high-complexity, high-impact problems from end to end Shape the future of our data platform-build, test, deploy, and maintain production-ready pipelines Responsibilities: Architect, develop, and operate robust data extraction and automation pipelines in production Integrate, deploy, and scale ML models within those pipelines (real-time inference and batch scoring) Lead full lifecycle delivery of complex data projects, including: Designing cloud-native ETL/ELT and ML deployment architectures on AWS (EKS/ECS, Lambda, S3, RDS/DynamoDB) Implementing and maintaining DataOps processes with Celery/Redis task queues, Airflow orchestration, and Terraform IaC Establishing and enforcing CI/CD pipelines on Azure DevOps (build, test, deploy, rollback) with automated quality gates Writing and maintaining comprehensive test suites (unit, integration, load) using pytest and coverage tools Optimize data quality, reliability, and performance through monitoring, alerting (CloudWatch, Prometheus/Grafana), and automated remediation Define-and continuously improve-platform standards, coding guidelines, and operational runbooks Conduct code reviews, pair programming sessions, and provide technical mentorship Partner with data scientists, ML engineers, and product teams to translate requirements into scalable solutions, meet SLAs, and ensure smooth hand-offs Technical Requirements: 4-8 years' hands-on experience in data engineering, with proven track record on critical projects Expert in Python for building extraction libraries, RESTful APIs, and automation scripts Deep AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch, and Terraform Containerization and orchestration: Docker (mandatory) and Kubernetes (advanced) Proficient with task queues and orchestration frameworks: Celery, Redis, Airflow Demonstrable experience deploying ML models at scale (SageMaker, ECS/Lambda endpoints) Strong CI/CD background on Azure DevOps; skilled in pipeline authoring, testing, and rollback strategies Advanced testing practices: unit, integration, and load testing; high coverage enforcement Solid SQL and NoSQL database skills (PostgreSQL, MongoDB) and data modeling expertise Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack) Excellent debugging, performance-tuning, and automation capabilities Openness to evaluate and adopt emerging tools, languages, and frameworks Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or a related field Prior contributions to open-source projects, GitHub repos, or technical publications Experience with infrastructure as code beyond Terraform (e.g., CloudFormation, Pulumi) Familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317427 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

Job Title: Senior Data Scientist, Marketplace Location: Hyderabad About Us: Storable operates the largest online marketplace for self storage, helping millions of consumers find and reserve storage units across thousands of facilities nationwide. Our two-sided platform connects storage operators with renters, enabling smarter pricing, increased occupancy, and better visibility for operators—while simplifying the search and booking experience for consumers. We’re growing fast and committed to using data as a competitive advantage in modernizing this legacy industry. The Role: We’re looking for a Senior Data Scientist to join our Marketplace team and help shape the future of self storage through data. In this role, you’ll lead high-impact initiatives that drive liquidity, optimize search and matching, and improve monetization across our platform. You’ll partner cross-functionally to inform product strategy, develop models that enhance customer experience and operator performance, and bring structure to a traditionally opaque industry. This is an ideal opportunity for a deeply analytical, product-oriented thinker who thrives in a fast-moving environment and is excited to shape the evolution of a digital marketplace in a historically offline space. What You’ll Do: Analyze marketplace dynamics across supply and demand, uncovering insights to improve conversion, fill rates, and operator performance. Design and evaluate experiments that test pricing strategies, inventory prioritization, and incentive programs for both consumers and storage operators. Build predictive models for customer acquisition, lead quality scoring, pricing elasticity, and churn forecasting. Partner with Product, Engineering, and Sales to develop tools and dashboards that guide marketplace health and operator decision-making. Support the rollout of new features (e.g., dynamic pricing, lead routing, inventory optimization) with data validation, success metrics, and performance analysis. Develop frameworks to balance occupancy and revenue across regions, seasons, and storage types. What You Bring: 7+ years of experience in data science, ideally with exposure to marketplaces, real estate, local services, or platform ecosystems. Strong statistical background with expertise in experimentation, causal inference, and regression modeling. Proficiency in SQL and Python; experience working with large-scale data sets and modern data stacks (e.g., dbt, Airflow, Snowflake). Proven success influencing product strategy and commercial decisions using data. A practical, iterative approach to modeling—balancing speed with rigor in a real-world environment. Experience collaborating cross-functionally with PMs, engineers, analysts, and business leaders. Comfort navigating noisy or incomplete data, especially in fragmented industries like self storage. Bonus Points For: Experience building pricing, search, or lead quality models in a lead-gen or vertical marketplace business. Understanding of the self storage industry, including occupancy economics, customer behavior, and regional trends. Familiarity with geospatial analysis, customer segmentation, or recommender systems.

Our esteemed buy-side client is currently looking for a highly skilled and experienced Analyst to join their Private Credit team, specializing in financial modeling of private companies. The ideal candidate will play a critical role in portfolio monitoring & surveillance and providing valuable insights. The successful candidate should have experience in credit financial modeling, with a strong preference for candidates holding a CFA designation or currently pursuing the CFA program. Key Responsibilities: Monitor financial performance and key performance indicators of portfolio companies Gathering business, financial data on borrower companies on a regular basis for consumption by investment team Presentation and write-ups support for investment team for internal and external meeting Financial reporting on portfolio companies on an ongoing basis Research support on an adhoc basis in supporting investment team needs in securing new business eg. market studies and research, market trends, Development of standardised info pack for each investment in the portfolio. Monthly management reporting and variance analysis Financial analysis, financial modelling, credit scoring assistance to investment team including scenario Analysis Development and maintenance of valuation models for all investments Monitor financial performance and key performance indicators of portfolio companies News and information search support for existing and potential investments Requirements: Master’s degree in finance, accounting, or a related field. Experience in private credit. Strong proficiency in financial modeling, credit analysis, and data analysis. Demonstrated expertise in assessing credit risk, financial statement analysis, and interpreting complex financial data. Excellent analytical and problem-solving skills, with attention to detail. Candidates with a CFA designation or those actively pursuing the CFA program will be given preference. Advanced proficiency in MS Excel, Bloomberg, and other relevant financial analysis tools. Strong written and verbal communication skills for presenting complex financial information effectively. Proven ability to work independently and collaboratively in a fast-paced, dynamic environment.

Our esteemed buy-side client is currently looking for a highly skilled and experienced Analyst to join their Private Credit team, specializing in financial modeling of private companies. The ideal candidate will play a critical role in portfolio monitoring & surveillance and providing valuable insights. The successful candidate should have experience in credit financial modeling, with a strong preference for candidates holding a CFA designation or currently pursuing the CFA program. Key Responsibilities: Monitor financial performance and key performance indicators of portfolio companies Gathering business, financial data on borrower companies on a regular basis for consumption by investment team Presentation and write-ups support for investment team for internal and external meeting Financial reporting on portfolio companies on an ongoing basis Research support on an adhoc basis in supporting investment team needs in securing new business eg. market studies and research, market trends, Development of standardised info pack for each investment in the portfolio. Monthly management reporting and variance analysis Financial analysis, financial modelling, credit scoring assistance to investment team including scenario Analysis Development and maintenance of valuation models for all investments Monitor financial performance and key performance indicators of portfolio companies News and information search support for existing and potential investments Requirements: Master’s degree in finance, accounting, or a related field. Experience in private credit. Strong proficiency in financial modeling, credit analysis, and data analysis. Demonstrated expertise in assessing credit risk, financial statement analysis, and interpreting complex financial data. Excellent analytical and problem-solving skills, with attention to detail. Candidates with a CFA designation or those actively pursuing the CFA program will be given preference. Advanced proficiency in MS Excel, Bloomberg, and other relevant financial analysis tools. Strong written and verbal communication skills for presenting complex financial information effectively. Proven ability to work independently and collaboratively in a fast-paced, dynamic environment.

We are seeking a seasoned Engineering Manager to lead the development of our end-to-end Video Telematics and Cloud Analytics Platform . This role demands a strong technical leader with experience across embedded systems , AI/ML , computer vision , cloud infrastructure , and data analytics . You will be responsible for driving technical execution across multidisciplinary teams — overseeing everything from edge-based video analytics to cloud-hosted dashboards and insights. Key Responsibilities: Platform Leadership Own and drive the development of the complete video telematics ecosystem , covering edge AI, video processing, cloud platform, and data insights. Architect and oversee scalable and secure cloud infrastructure for video streaming, data storage, OTA updates, analytics, and alerting systems. Define the data pipeline architecture for collecting, storing, analyzing, and visualizing video, sensor, and telematics data. Cross-functional Engineering Management Lead and coordinate cross-functional teams: Cloud/backend team for infrastructure, APIs, analytics dashboards, and system scalability. AI/ML and CV teams for DMS/ADAS model deployment and real-time inference. Hardware/Embedded teams for firmware integration, camera tuning, and SoC optimization. Collaborate with product and business stakeholders to define the roadmap, features, and timelines. Data Analytics Work closely with data scientists to build meaningful insights and reports from video and sensor data. Drive implementation of real-time analytics, fleet safety scoring, and predictive insights using telematics data. Operational Responsibilities Own product quality and system reliability across all components. Support product rollout, monitoring, and updates in production. Manage resources, mentor engineers, and build a high-performing development team. Ensure adherence to industry standards for security, privacy (GDPR), and compliance (e.g., GSR, AIS-140). Requirements: Must-Have: Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field. 7+ years of experience in software/product engineering, with 2+ years in a technical leadership or management role. Deep understanding of cloud architecture , video pipelines , edge computing , and microservices . Proficient in AWS/GCP/Azure, Docker/Kubernetes, serverless computing, and RESTful API design. Solid grasp of AI/ML integration and computer vision workflows (model lifecycle, optimization, deployment). Experience in data pipelines , SQL/NoSQL databases, and analytics tools (e.g., Redshift, Snowflake, Grafana, Superset). Good-to-Have: Prior work on automotive , fleet , or video telematics solutions. Experience with camera hardware (MIPI, ISP tuning), compression codecs (H.264/H.265), and event-based recording. Familiarity with telematics protocols (CAN, MQTT) and geospatial analytics. Working knowledge of data privacy regulations (GDPR, CCPA).

Software Research Development Manager Type: Full-Time About Rapid Innovation Rapid Innovation is a cutting-edge development services company specializing in building AI-powered agentic systems, digital labor solutions, and AI agents. We partner with forward-thinking clients looking to harness the transformative power of artificial intelligence to revolutionize work, automate tasks, and enable intelligent decision-making. Our mission is to innovate the future of work—and we’re searching for a passionate Software Development Manager to help us drive that vision forward. Role Overview We are hiring a Software Development Manager who will own the delivery of our core Salt Lending platform project while also contributing to broader development initiatives across the company. In this hybrid role, you’ll manage a dedicated project team, define technical strategy, and foster rapid innovation by integrating AI and cutting-edge fintech practices. What You’ll Own 1. Team Leadership & Platform Development Manage and mentor a team of 5–10 engineers focused on the Salt Lending platform. Drive the development roadmap for new features, integrations, and platform enhancements. Ensure timely delivery of high-quality software that meets both business and regulatory requirements. Foster a collaborative engineering culture centered on innovation, quality, and continuous learning. Partner closely with Product, Risk, Compliance, and Operations teams to align technical solutions with business needs. 2. Technical Strategy & Architecture Oversee the evolution of our lending platform architecture for scalability, performance, and reliability. Enforce best-in-class security practices for handling customer crypto assets and financial data. Architect microservices, API layers, and event-driven components that integrate blockchain protocols, custodial solutions, and traditional banking systems. Implement CI/CD pipelines, Infrastructure-as-Code, and observability frameworks to maintain platform stability amid rapid feature development. 3. Innovation & AI Integration Evaluate and adopt agentic coding frameworks and AI-assisted development tools. Identify opportunities to leverage AI/ML for risk assessment, process automation, and enhanced customer experiences. Prototype AI-driven features while ensuring compliance and security controls remain intact. Stay abreast of AI/ML and fintech trends, guiding the team on the practical adoption of emerging technologies. Your Background Required Experience 7+ years in software development, with at least 3 years in engineering management. Proven track record in financial services, lending, or fintech platforms. Hands-on experience building and scaling production systems that handle high-volume financial transactions. History of on-time delivery of complex software projects and successful talent recruitment and retention. Technical Expertise Proficiency in modern languages (Java, Python, TypeScript preferred). Deep experience with distributed systems, microservices, and cloud platforms (AWS/GCP/Azure). Familiarity with databases (MongoDB, PostgreSQL), messaging systems (Kafka), and caching solutions. Solid understanding of DevOps practices, CI/CD, and Infrastructure-as-Code (Terraform, CloudFormation). Strong security mindset—especially for financial and blockchain applications. Domain Knowledge Working knowledge of crypto assets, blockchain technology, and smart contracts (ERC-20 focus). Understanding of custodial vs. self-custody solutions and lending mechanics (LTV, collateral, margin calls). Awareness of AML/KYC regulations and DeFi vs. centralized lending paradigms. AI & Emerging Tech Understanding Familiarity with AI/ML frameworks and agentic development tools. Insight into how LLMs and AI agents can accelerate development workflows. Knowledge of AI use cases in fintech (credit scoring, fraud detection, risk modeling). What Makes You Stand Out You’ve led engineering teams in highly regulated financial environments. You balance rapid innovation with the stability and security required for financial systems. You’re passionate about democratizing crypto and building accessible financial products. You’ve worked with real-time market data and automated decision engines. You have hands-on experience with custody solutions and securing digital assets. Key Responsibilities Lead sprint planning, code reviews, and architectural discussions. Define and enforce coding standards, security practices, and best-in-class development workflows. Ensure platform reliability (99.9%+ uptime) through monitoring, alerting, and incident management. Collaborate with stakeholders to translate business requirements into technical solutions and timelines. Drive technical debt remediation alongside continuous delivery of new capabilities. Evaluate and integrate third-party services (custodians, KYC providers, data feeds). 📌 Note: This role requires candidates to be available during U.S. hours—specifically evening shifts on Mountain Time (PM MT). Join us at Rapid Innovation to lead a high-impact project and help shape the future of AI-powered lending platforms. Apply now and let’s build tomorrow’s work-automation solutions together!

Appsoleut Games is a passion driven, fast growing mobile gaming studio based out of Gurgaon, India. Our MISSION is to soon become a leader in the mobile gaming industry, internationally. We develop vehicle-based games in the simulation, driving and racing genre. Our games have done us proud by consistently staying in the Top 30 games in the Racing category in USA and beating (momentarily!) Nintendo Mario Kart in Japan! We are a fun-loving, open-minded company and encourage our team to have a voice. We have a strong user base of millions and are now looking for a ‘Sr. Unity Developer' to help us reach the next level. QUALIFICATIONS- Degree in Computer Science or IT or have relevant experience 3D math skills. Knowledge of Unity3D including Unity GUI, asset bundles, materials/shaders, and iPhone/Android deployment. Knowledge of "version control" like git. Good knowledge of vehicle physics, game physics Game designing skills are a definite plus! Experience with third-party libraries and SDKs is a plus Experience in coordination with UI development team Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies. Should be able to work in a growing company environment that is very dynamic and challenging. RESPONSIBILITIES- Develop games on the Unity platform, as per design document and given specifications (character or vehicle control, AI, game GUI, scoring and other game elements. Comprehensive research and development required for developing the game or certain features. Troubleshoot and testing the game and debugging. Should be able to handle and mentor team members. SALARY- Depends on Experience LOCATION- Gurgaon PERKS- Health Insurance for the Employees and family Weekends off! Everyday tea/coffee and cookies on the house. Annual holiday sponsored by the company! This is a great opportunity for you to join one of the leading mobile game developers in India, working with the latest technology to create premium games and to join a highly talented and collaborative team.

We are excited to offer you the opportunity to score for the American College Testing ( ACT). The ACT, which stands for American College Testing, is a standardized test used by colleges and universities in the United States to assess a high school student's readiness for college. It evaluates academic potential and is a key component of the undergraduate admissions process. The ACT measures skills in areas such as reading, writing, and mathematics, helping admissions officers compare applicants. About The Role As a Professional Scorer for the ACT, you will evaluate challenging written responses that are based on a stringent set of rubrics. The majority of responses on this assessment are scored by an artificial intelligence system; however, you will be tasked with scoring outlier responses that could not be assessed by the AI. These responses may not closely align with the prompts, requiring you to make nuanced scoring decisions. Responsibilities Evaluate student responses to open-ended questions reliably and score according to the provided scoring guide. Successfully internalize training materials and the customer scoring guide. Pass a qualifying test before beginning scoring. Apply the scoring guide without personal bias, adhering strictly to customer requirements. Qualifications We are seeking qualified candidates to join our scoring team. Please review the following qualifications to ensure you meet the necessary requirements: Educational Requirement : Bachelor’s degree from an accredited institution. Technical Skills : Basic computer literacy is required. Assessment : Successful completion of the Versant qualification test. Confidentiality : Ability to maintain a secure and confidential work environment. Training And Work Environment Requirements You must attend mandatory training remotely Training and scoring will be available every day from 5:00am to 11:59pm Central or 3:30 pm to 10:29 am IST. The scoring window may change based on project needs. The maximum number of hours that you can work is 12 hours per day, with a maximum of 40 hours per week. Your supervisor must pre-approve any hours over 40 Personal Computer and Internet : Candidates must have access to a personal computer that meets the scoring system's specifications, as well as reliable internet service. Note : Use of shared office computers, institutional, or public computer labs is not permitted. System Recommendations Windows Users : The operating system must be Windows XP, Vista, 7, 8, or 10. Mac Users : The operating system must be OS X Snow Leopard (10.6), Lion (10.7), Mountain Lion (10.8), Mavericks (10.9), or Yosemite (10.10). Preparation Tip : It is recommended to verify that your system is relatively up to date to ensure compatibility with the scoring platform. Internet Requirements : A stable high-speed internet connection with a minimum speed of 25 Mbps is required for optimal performance. Important note: Please upload your resume and screenshot of your speed test result using https://www.speedtest.net Upon applying, Pearson will communicate primarily through email and text messaging regarding applications for employment at the email and mobile number provided in the application. Message and data rates may apply. Reply STOP to no longer receive messages. Message frequency varies. You may view our Terms of Service and Privacy Policy at the bottom of this page. 1158092 Job: Evaluation Job Family: PROFESSIONAL DEVELOPMENT Organization: Assessment & Qualifications Schedule: PART_TIME Req ID: 20358

Senior TPRM Analyst / Consultant – ServiceNow Risk Background Location: Remote Job Type: Full-Time / Contract Experience Level: 5 - 6+ years Role Overview: We are seeking a seasoned professional to lead and support our Third-Party Risk Management (TPRM) initiatives using ServiceNow Risk or TPRM modules. The ideal candidate will bring deep expertise in risk frameworks, vendor risk assessments, and ServiceNow configuration, and will play a key role in shaping and optimizing our TPRM program. Key Responsibilities: Lead the design, configuration, and deployment of ServiceNow TPRM/Risk modules. Define and implement third-party risk processes, workflows, and controls. Conduct complex risk assessments and due diligence for high-risk vendors. Develop and maintain risk scoring methodologies and dashboards. Collaborate with cross-functional teams including InfoSec, Procurement, and Legal. Mentor junior team members and provide guidance on risk best practices. Ensure compliance with regulatory standards and internal policies. Support audit and regulatory reporting requirements. Qualifications: 6+ years in TPRM, IT Risk, or GRC roles. Strong hands-on experience with ServiceNow Risk or TPRM modules. Deep understanding of risk frameworks (e.g., NIST, ISO 27001, SIG). Excellent stakeholder management and communication skills. ServiceNow certification preferred. Junior TPRM Analyst – ServiceNow Risk Background Location: Remote Job Type: Full-Time / Contract Experience Level: 3 - 4 years Role Overview: We are looking for a motivated Junior Analyst to support our Third-Party Risk Management (TPRM) operations. This role involves assisting with vendor risk assessments, data analysis, and ServiceNow platform support under the guidance of senior team members. Key Responsibilities: Assist in conducting vendor risk assessments and due diligence. Support data entry, reporting, and dashboard creation in ServiceNow TPRM. Help maintain risk registers and documentation. Collaborate with internal teams to gather and validate vendor information. Monitor third-party risk metrics and escalate issues as needed. Participate in training and development sessions to grow TPRM expertise. Qualifications: 1–3 years of experience in risk management, compliance, or GRC. Exposure to ServiceNow Risk or TPRM modules (hands-on experience preferred). Basic understanding of risk and compliance frameworks. Strong analytical and communication skills. Willingness to learn and grow in a fast-paced environment.

About the Role: Grade Level (for internal use): 10 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team, you will design, build, and optimize enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will help define architecture standards, mentor junior engineers, and champion best practices in an AWS-based ecosystem. You’ll lead by example in a highly engaging, global environment that values thoughtful risk-taking and self-initiative. What’s in it for you: Drive solutions at enterprise scale within a global organization Collaborate with and coach a hands-on, technically strong team (including junior and mid-level engineers) Solve high-complexity, high-impact problems from end to end Shape the future of our data platform-build, test, deploy, and maintain production-ready pipelines Responsibilities: Architect, develop, and operate robust data extraction and automation pipelines in production Integrate, deploy, and scale ML models within those pipelines (real-time inference and batch scoring) Lead full lifecycle delivery of complex data projects, including: Designing cloud-native ETL/ELT and ML deployment architectures on AWS (EKS/ECS, Lambda, S3, RDS/DynamoDB) Implementing and maintaining DataOps processes with Celery/Redis task queues, Airflow orchestration, and Terraform IaC Establishing and enforcing CI/CD pipelines on Azure DevOps (build, test, deploy, rollback) with automated quality gates Writing and maintaining comprehensive test suites (unit, integration, load) using pytest and coverage tools Optimize data quality, reliability, and performance through monitoring, alerting (CloudWatch, Prometheus/Grafana), and automated remediation Define-and continuously improve-platform standards, coding guidelines, and operational runbooks Conduct code reviews, pair programming sessions, and provide technical mentorship Partner with data scientists, ML engineers, and product teams to translate requirements into scalable solutions, meet SLAs, and ensure smooth hand-offs Technical Requirements: 4-8 years' hands-on experience in data engineering, with proven track record on critical projects Expert in Python for building extraction libraries, RESTful APIs, and automation scripts Deep AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch, and Terraform Containerization and orchestration: Docker (mandatory) and Kubernetes (advanced) Proficient with task queues and orchestration frameworks: Celery, Redis, Airflow Demonstrable experience deploying ML models at scale (SageMaker, ECS/Lambda endpoints) Strong CI/CD background on Azure DevOps; skilled in pipeline authoring, testing, and rollback strategies Advanced testing practices: unit, integration, and load testing; high coverage enforcement Solid SQL and NoSQL database skills (PostgreSQL, MongoDB) and data modeling expertise Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack) Excellent debugging, performance-tuning, and automation capabilities Openness to evaluate and adopt emerging tools, languages, and frameworks Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or a related field Prior contributions to open-source projects, GitHub repos, or technical publications Experience with infrastructure as code beyond Terraform (e.g., CloudFormation, Pulumi) Familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317427 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 09 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will build and maintain enterprise‐scale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient, production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging, global environment that encourages thoughtful risk-taking and self-initiative. What’s in it for you: Be part of a global company and deliver solutions at enterprise scale Collaborate with a hands-on, technically strong team (including leadership) Solve high-complexity, high-impact problems end-to-end Build, test, deploy, and maintain production-ready pipelines from ideation through deployment Responsibilities: Develop, deploy, and operate data extraction and automation pipelines in production Integrate and deploy machine learning models into those pipelines (e.g., inference services, batch scoring) Lead critical stages of the data engineering lifecycle, including: End-to-end delivery of complex extraction, transformation, and ML deployment projects Scaling and replicating pipelines on AWS (EKS, ECS, Lambda, S3, RDS) Designing and managing DataOps processes, including Celery/Redis task queues and Airflow orchestration Implementing robust CI/CD pipelines on Azure DevOps (build, test, deployment, rollback) Writing and maintaining comprehensive unit, integration, and end-to-end tests (pytest, coverage) Strengthen data quality, reliability, and observability through logging, metrics, and automated alerts Define and evolve platform standards and best practices for code, testing, and deployment Document architecture, processes, and runbooks to ensure reproducibility and smooth hand-offs Partner closely with data scientists, ML engineers, and product teams to align on requirements, SLAs, and delivery timelines Technical Requirements: Expert proficiency in Python, including building extraction libraries and RESTful APIs Hands-on experience with task queues and orchestration: Celery, Redis, Airflow Strong AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB, IAM, CloudWatch Containerization and orchestration: Docker (mandatory), basic Kubernetes (preferred) Proven experience deploying ML models to production (e.g., SageMaker, ECS, Lambda endpoints) Proficient in writing tests (unit, integration, load) and enforcing high coverage Solid understanding of CI/CD practices and hands-on experience with Azure DevOps pipelines Familiarity with SQL and NoSQL stores for extracted data (e.g., PostgreSQL, MongoDB) Strong debugging, performance tuning, and automation skills Openness to evaluate and adopt emerging tools and languages as needed Good to have: Master's or Bachelor's degree in Computer Science, Engineering, or related field 2-6 years of relevant experience in data engineering, automation, or ML deployment Prior contributions on GitHub, technical blogs, or open-source projects Basic familiarity with GenAI model integration (calling LLM or embedding APIs) What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH202.1 - Middle Professional Tier I (EEO Job Group) Job ID: 317425 Posted On: 2025-07-01 Location: Gurgaon, Haryana, India

Who We Are: PureSpectrum is a rapidly growing market research and insights platform. We simplify technology for researchers so they can gather and use consumer data the way they want – without disruption. PureSpectrum currently facilitates more than 65 million online interviews annually through our Marketplace. PureSpectrum also developed the industry’s first and only respondent-level scoring system, PureScore. Most recently, PureSpectrum was recognized across the industry: Certified Great Place to Work (2022-2024), Built In's Best Places to Work (2023-2024), Inc Best Workplaces (2023), Newsweek's Global Most Loved Workplaces (2023-2024), Deloitte's Fast 500 (2020- 2023). PS is rapidly becoming the leading solution for quality multi-sourcing, as well as end to end automated research solutions. The Opportunity: PureSpectrum is looking for a Data Analyst who will be responsible for product-related analyses, reporting, and insights. The Data Analyst will be working in a fast-paced environment within the Analytics and Data Science organization and will report directly to the VP – Analytics and Data Science. The ideal candidate is highly analytical, intellectually curious, detail-oriented, and should be comfortable working closely with individuals across the global enterprise, as well as with technology partners and vendors. This position reports directly to a senior member of the Product leadership team. Location: Hyderabad, India - 3 days in office requirement Your Responsibilities: Understand business issues, formulate and test hypotheses using appropriate statistical methods, and create Proof-of-Concept (POC) models Manage full lifecycle of analytics projects including mining, cleaning and transforming data from multiple databases/collections to design and execution Partner with the engineering team to create new data pipelines, develop dashboards and reports, leveraging data visualization and other tools Coordinate with functional teams to prioritize workflow, triage and resolve data consistency and quality issues Communicate ideas, analyses, and results effectively, both verbally and in writing, to technical and non-technical audiences. Proactively identify any potential issues/questions regarding the integrity of data and suggest resolutions to Data Management teams Qualifications: Bachelor’s degree required with 3 years or more of hands-on experience in Data Analysis or Master’s Degree in Quantitative Economics, with one year or more of hands-on experience. Experience in big data environments such as AWS Experience with internal and external relationship management, partner presentations, and quantitative data analysis. Experience with analytical tools and programming languages such as Python, R, SAS Prior experience with report and dashboard design High proficiency in Excel with strong analytical and mathematical capabilities. Exposure to API integrations and customized applications. Familiarity with databases and BI tools (e.g. SQL, mongoDB, QuickSight, Tableau, Microsoft Power BI) PureSpectrum Benefits: We offer a competitive compensation and benefits package including well-covered health insurance, PF, etc. Leave policy provides for casual, sick, and vacation leaves, which adhere to statutory compliance needs. Team events and celebrations. Employees enjoy casual dress and fun within a professional team environment.

About Company: GSPANN is a US California Bay Area-based consulting services provider focused on implementations in Enterprise Content Management, Business Intelligence & Mobile Solution initiatives. More than 90% of our current clientele are FORTUNE 1000 organizations. We specialize in strategy, architecture, delivery and support of solutions in the ECM, BI and Mobility space Position: Security Architect & Lead Experience: 8 Yrs - 25 Yrs Skills: Safebreach, Gytpol, Microsoft 365 Security Suite (Defender, Sentinel, Purview), Azure Security Center, Azure AD, Cloud App Security, Mimecast, McAfee, Symantec, PKI and Certificate Management Job Location: Hyderabad/ Gurgaon We are seeking a highly skilled and forward-thinking Security Architect & Lead to lead the design and implementation of secure, scalable, and automated security solutions across our enterprise environment. This role demands deep expertise in Microsoft 365 Security , Azure Cloud , Mimecast , Endpoint Security (McAfee/Symantec) , Certificate Management , Threat & Vulnerability Management , and Breach & Attack Simulation (BAS) tools like Gytpol and SafeBreach . The ideal candidate will also have a strong grasp of cloud compliance technologies and the ability to integrate AI-driven security automation. We are seeking a highly skilled and forward-thinking Security Architect to lead the design and implementation of secure, scalable, and automated security solutions across our enterprise environment. This role demands deep expertise in Microsoft 365 Security , Azure Cloud , Mimecast , Endpoint Security (McAfee/Symantec) , Certificate Management , Threat & Vulnerability Management , and Breach & Attack Simulation (BAS) tools like Gytpol and SafeBreach . The ideal candidate will also have a strong grasp of cloud compliance technologies and the ability to integrate AI-driven security automation . Key Responsibilities: Security Architecture & Design Design and implement enterprise-wide security architecture aligned with business goals. Develop secure integration patterns across M365, Azure, Mimecast, and endpoint security platforms. Automation & AI Integration Build and maintain automated security workflows using AI/ML for threat detection, response, and compliance. Leverage Microsoft Sentinel, Defender, and other AI-driven tools for proactive threat hunting. Threat & Vulnerability Management Lead vulnerability assessments and remediation strategies using tools like Gytpol and SafeBreach. Integrate threat intelligence feeds and automate risk scoring and prioritization. Cloud & Endpoint Security Architect and manage security controls in Azure Cloud and Microsoft 365 environments. Oversee endpoint protection strategies using McAfee, Symantec, and EDR/XDR platforms. Email & Data Protection Implement and manage secure email gateways and DLP policies using Mimecast and Microsoft Purview. Certificate & Identity Management Design and maintain PKI infrastructure and certificate lifecycle management. Integrate identity governance and conditional access policies across cloud and on-prem systems. Compliance & Governance Ensure adherence to industry standards (ISO 27001, NIST, GDPR, etc.) using cloud compliance tools. Develop security policies, procedures, and audit frameworks. Required skills: 10+ years in cybersecurity with 5+ years in a security architecture role. Strong hands-on experience with: Microsoft 365 Security Suite (Defender, Sentinel, Purview) Azure Security Center , Azure AD , Cloud App Security Mimecast , McAfee , Symantec , SafeBreach , Gytpol PKI and Certificate Management Proficiency in scripting (PowerShell, Python) and automation tools (Logic Apps, Azure Automation). Familiarity with AI/ML applications in cybersecurity. Experience with compliance frameworks and cloud security posture management (CSPM). Preferred certifications: Microsoft Certified: Cybersecurity Architect Expert (SC-100) Certified Information Systems Security Professional (CISSP) Certified Cloud Security Professional (CCSP) Azure Solutions Architect Expert GIAC certifications (e.g., GCPN, GCIH) Why choose GSPANN “We GSPANNians” are at the heart of the technology that we pioneer. We do not service our customers, we co-create. With the passion to explore solutions to the most challenging business problems, we support and mentor the technologist in everyone who is a part of our team. This translates into innovations that are path-breaking and inspirational for the marquee clients, we co-create a digital future with. GSPANN is a work environment where you are constantly encouraged to sharpen your abilities and shape your growth path, We support you to become the best version of yourself by feeding your curiosity, providing a nurturing environment, and giving ample opportunities to take ownership, experiment, learn and succeed. We’re a close-knit family of more than 1400 people that supports one another and celebrates successes, big or small. We work together, socialize together, and actively serve the communities we live in. We invite you to carry forward the baton of innovation in technology with us. At GSPANN, we do not service. We Co-create. Discover your inner technologist - Explore and expand the boundaries of tech innovation without the fear of failure. Accelerate your learning - Shape your career while scripting the future of tech. Seize the ample learning opportunities to grow at a rapid pace Feel included - At GSPANN, everyone is welcome. Age, gender, culture, and nationality do not matter here, what matters is YOU Inspire and Be Inspired - When you work with the experts, you raise your game. At GSPANN, you’re in the company of marquee clients and extremely talented colleagues Enjoy Life - We love to celebrate milestones and victories, big or small. Ever so often, we come together as one large GSPANN family Give Back - Together, we serve communities. We take steps, small and large so we can do good for the environment, weaving in sustainability and social change in our endeavors We invite you to carry forward the baton of innovation in technology with us. Let’s Co-create.

About Canibuild Canibuild is the proptech company transforming how people plan and start construction projects—whether you’re a government agency, builder or property owner. With over 1 million site assessments completed and 8,500+ clients across the US, ANZ and CA, Canibuild’s AI-powered platform delivers instant site feasibility, automated pre-permitting, and real-time 3D visualisation for homes, ADUs, pools, sheds, garages, and more. From zoning checks to public inquiries and the digitisation of planning workflows, Canibuild simplifies compliance and planning for everyone. We’re redefining how the world builds. Learn more at canibuild.com. Role Overview You’ll own end-to-end CRM and paid/digital media initiatives for Canibuild’s global growth, specialising in powerful, data-focused marketing campaigns for quality lead nurturing and down-funnel optimisation. As our CRM & Digital Marketing Manager, you will craft strategy, build briefs, execute campaigns, track performance, optimise for ROI, and report insights to drive consistent pipeline growth. Key Responsibilities CRM Strategy & Execution Architect and administer our HubSpot instance: contact segmentation, lead scoring, workflows, dashboards, and automations Design and deploy email nurture tracks and drip campaigns that drive engagement and conversions Paid & Digital Media Plan, launch and optimise paid search, display, social and programmatic campaigns Manage third-party ad relationships (agencies, networks, platforms), ensuring spend efficiency and compliance Creative problem-solving abilities with limited spend Analytics & Reporting Develop and maintain performance dashboards in HubSpot and other BI tools Analyse campaign metrics (CTR, CPL, LTV, ROAS) to inform optimisation and budget allocation Cross-Functional Collaboration Partner with Product, Sales, Content and Design teams to align on campaign briefs and deliverables Coordinate timelines, assets and resources for smooth execution Continuous Optimisation A/B test creative, copy, channels and audience segments Recommend and implement process improvements to scale campaigns Project Management Own project briefs, timelines, task assignments and status updates Ensure on-time delivery of key initiatives and stakeholder communications Required Qualifications 5+ years of hands-on CRM management with HubSpot (preferred) Proven track record in paid/digital media planning and buying (search, social, display) Strong analytical skills; comfortable with data visualization and SQL-based reporting Experience managing third-party relationships (agencies, affiliate partners) Excellent project management and stakeholder-collaboration abilities Exceptional written and verbal communication skills in English Tools you are experienced with: HubSpot, LinkedIn, Google Analytics, Adwords, Zapier, Adroll, Outbrain, Meta Preferred Qualifications Exposure to B2B SaaS or proptech marketing Certifications in HubSpot, Google Ads, Facebook Blueprint, or similar Familiarity with marketing attribution models and advanced analytics What We Offer Competitive India-market salary & incentives Fully remote role Opportunities for global project ownership and career growth Collaborative, fast-paced startup culture