2087 Scoring Jobs - Page 35

Senior Embryologist: Job Description Immediate job opening for a Sr. Embryologist. Embryology job responsibilities include, but is not limited to oocyte retrieval, IVF inseminations, IUI inseminations preparations, egg/embryo handling and scoring, ET/ FET, ICSI, AH, biopsy, fixation, cryopreservation/ thaw, and QC/QA. To be considered, please forward an updated resume in complete confidence. This is a full time, on site Embryologist opportunity. Embryology candidate will be responsible for demonstrating sufficient competency in basic embryology and andrology procedures needed for In Vitro Fertilization. Location : Noida Sector 18 (Atta Market) Responsibilities include the following: collecting and preparing of oocytes for insemination; analysing and preparing of specimens for insemination or for ICSI; assessing fertilization and zygote quality following insemination; daily assessment/grading and handling of embryos through Day 6 of in vitro culture; cryopreservation and thawing of embryos at varying stages of development; preparing embryos for intrauterine transfer; ability to contribute valuable ideas to the laboratory and physician team in reference to the status and appropriateness of clinical specimens; Requirements: Bachelor's Degree in a biological science or MSc in Clinical Embryology including a minimum of 3-7 years’ experience in a clinical laboratory setting performing basic and advanced embryology techniques with experience in in-vitro fertilization plus computer proficiency. As per ART New Law one has a logbook / letter of 500 cryopreservation . ABOUT US We’re INDIA IVF Fertility , and we aim to be the greatest employer of embryologists in the country, so you’ll have unrivalled opportunities to develop your skills and abilities. We have a range of bespoke toolkits such as PGD, MACS, Qualis, etc a vast array of high-tech embryology procedures, and many developmental projects you can contribute to. You’ll have opportunities to attend conferences and networking – being an ambassador for the company. We have specialist focus groups to get involved with, plenty of R&D with the opportunity to do research projects You’ll also be given an area of responsibility – such as donor sperm, procurement, lab quality, training junior staff, or managing the rota. You’d be joining a dynamic team in one of INDIA IVF laboratories which undertakes many complex cases, including PGT-A, PGT-M/Sr, and social oocyte freezing. About the job You’ll have routine embryology duties, such as sperm preparation, semen analysis, oocyte collection, fertilization checking, embryo grading, embryo transfer, embryo cryopreservation, and embryo thawing – all while delivering the highest standard of patient care at all times. And also you’ll need leadership/management skills, you’ll be responsible for the daily running of the laboratory but also the activities within, and these could call upon your experience and management skills (patient support, technically difficult cases). That means leading by example, in a capable and calm manner, even under pressure. About you You’re a great communicator, you can explain things simply and clearly to everybody - we have a lot of technical support staff, and it’s important they understand what we’ve asked them to do and also why we have. You have great attention to detail and you’re able to follow the process and best practices – making sure others don’t deviate from best practices. You’ll also always be looking for areas for improvement and feel comfortable putting them forward. Job Types: Full-time, Permanent Pay: ₹65,000.00 - ₹95,000.00 per month Schedule: Day shift Ability to commute/relocate: Noida Sector 16, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Education: Master's (Preferred) Experience: Clinical Embryology: 3 years (Preferred) Embryology Procedures: 5 years (Preferred) Work Location: In person

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 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: 317426 Posted On: 2025-07-06 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 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: 317426 Posted On: 2025-07-06 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 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: 317426 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

We are looking for a highly motivated and skilled Salesforce Data Cloud Lead to design, develop, and optimize Data Cloud data model and use cases. The successful candidate will work closely with cross-functional teams, including Marketing, IT, and Data Analytics, to bring dynamic content and tailored experiences to our customers. Job Description: Key Responsibilities: Lead the end-to-end implementation of Salesforce Data Cloud (CDP), including data acquisition, integration, quality assurance, and utilization. Configure and implement data-driven segmentation strategies, ensuring accurate audience targeting and content delivery. Design, document and implement data models, data pipelines, and transformations to support data ingestion, integration, and enrichment within Salesforce Data Cloud. Be curious and up-to-speed with the fast-paced releases coming to the platform. Collaborate with IT teams to ensure seamless data integration, troubleshoot technical issues, and optimize system performance for data initiatives. Integrate data from various sources, including CRM systems, databases, and third-party platforms, to support marketing and personalization efforts. Provide training and support to development teams on utilizing Salesforce Data Cloud features and capabilities. SFDC Skills: Configure and optimize Data Cloud platform to meet business needs. Integration of Data Cloud with Salesforce CRM Salesforce MC Salesforce Marketing Intelligence Websites/microsites - using SDK method (setup connectors, sitemaps, schema, data streams) Snowflake Other sources Set up and manage data streams from various sources, ensuring seamless data flow Configure and develop criteria’s for Identity management, data transformations and calculated insights Configure and develop Lead scoring based on customer data from CRM and engagement data from different touchpoint such as website, MC engagement using data transformations and calculated insights Configure data transformations for data lake objects Develop and maintain data models that enhance data quality and usability. Assist in the creation of customer segments and support marketing and analytics teams. Monitor the platform to detect and resolve disruptions or errors promptly Qualifications: Bachelor's degree in Computer Science, Information Technology, Marketing, or a related field. Proven experience (2+ years) with a strong focus on Salesforce Data Cloud and/or custom database solutions Salesforce Data Cloud Consultant certification strongly preferred. Strong understanding of marketing automation, data segmentation, and personalized customer journeys, decisioning and Next Best Action. Experience with data integration and API utilization. Expertise in data modeling, ETL processes, data integration tools, and SQL. Experience with customer data platforms (CDPs) and data management practices, including data governance and compliance. Excellent problem-solving skills and attention to detail, with the ability to troubleshoot operational challenges. Familiarity with cloud technologies (e.g., AWS, Azure, GCP) and data modeling/scoring technologies. Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams. Location: DGS India - Pune - Baner M- Agile Brand: Merkle Time Type: Full time Contract Type: Permanent

Company Description Property Reports Plus is a leading provider of Property inspection services across Australia. We serve both residential and commercial real estate agencies , delivering reliable, high-quality reporting services backed by over a decade of industry experience. Role Description We are seeking a Demand Generation Lead to join our growing team. This is a remote, full-time position with flexibility, working closely with the founders. You will play a key role in developing and executing demand generation strategies, conducting market research, and driving qualified leads to support customer acquisition. You’ll be responsible for identifying high-impact marketing initiatives, building scalable lead generation campaigns, and creating data-driven strategies that align with our business goals. Key Responsibilities Develop, execute, and optimize multi-channel demand generation campaigns to drive pipeline growth. Conduct market and competitor research to identify new opportunities. Use marketing automation tools to nurture leads and improve conversion rates. Collaborate with the founders and sales team to align marketing activities with revenue goals. Measure and report on campaign performance, continuously testing and iterating for improvement. Create and manage lead scoring systems, landing pages, and campaign workflows. Qualifications Proven experience in demand generation and lead generation strategies. Proficient with CRM and marketing automation tools (e.g., HubSpot, ActiveCampaign, Zoho, Mailchimp). Strong analytical mindset and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and manage multiple priorities in a remote environment. Bachelor’s degree in Marketing, Business , or a related field. Bonus Points Experience working with real estate or property services industries. Familiarity with B2B services and long-sales-cycle marketing. Content marketing or paid media experience is a plus.

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 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: 317426 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

Delivering PTE Training: Conducting coaching sessions to teach the necessary skills and strategies for the PTE Academic exam. Developing Lesson Plans: Creating lesson plans and materials tailored to different student needs and skill levels. Providing Feedback: Evaluating student performance on practice tests and assignments, offering constructive feedback to improve their skills. Mock Tests and Assessments: Conducting mock tests to simulate the actual PTE exam environment and assess students' progress. Staying Updated: Keeping abreast of the latest PTE test formats, scoring criteria, and updates to ensure training is relevant and effective. Creating a Positive Learning Environment: Fostering a supportive and encouraging atmosphere to motivate students and enhance their learning experience. Job Type: Full-time Pay: ₹10,000.00 - ₹20,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Supplemental Pay: Performance bonus Language: English (Preferred) Work Location: In person

JOB DESCRIPTION About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. TempHtmlFile Job Title: Business Analyst – Fraud Analytics & Intelligence Systems (Banking Domain) Location: Hyderabad (Onsite) Duration: Not defined Experience Required: 3–6 years Number of Positions: 2 Start Date: Immediate Role Overview: We are looking for experienced Business Analysts to support the implementation of fraud analytics and market intelligence system in banking. The BAs will play a key functional role in the end-to-end implementation of a solution similar to Early Warning Systems (EWS), AML Transaction Monitoring, or Fraud Risk Management platforms. Key Responsibilities: · Lead the preparation of the Business Requirements Document (BRD) in collaboration with stakeholders. · Conduct gap analysis, process mapping, and fraud risk scenario modeling. · Ensure accurate data mapping from internal banking systems (e.g., CBS, Trade Finance, Treasury) and validate data quality. · Collaborate with technical teams and data scientists to support model validation, risk scoring logic, and fraud detection workflows. · Define and execute User Acceptance Testing (UAT) scenarios and test cases. · Coordinate with vendors and internal teams to ensure seamless integration with external data sources (e.g., MCA, CRILC, credit bureaus, media aggregators). · Support the creation of dashboards and reports for Market Intelligence and Fraud Monitoring. Required Skills & Experience: · 4–6 years of experience as a Business Analyst in the Banking or Financial Services domain. · Proven experience in implementing systems such as: o AML Transaction Monitoring o Fraud Risk Management (FRM) o Early Warning Systems (EWS) · Strong understanding of banking data structures, credit risk, fund flow analysis, and fraud typologies. · Familiarity with external data integration that may be required for generating market intelligence · Experience in functional documentation, UAT coordination, and stakeholder management · Knowledge of regulatory frameworks (RBI, SEBI, FIU-IND) · Excellent communication, analytical, and problem-solving skills Tools & Technologies (Preferred): · Exposure to tools like SAS, Actimize, Amlock, rt360, or similar. · Experience with BI tools (Power BI, Tableau) and SQL / data querying tools is a plus. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. QUALIFICATIONS 1. MBA or CA or Btech (with previous experience in fraud management)

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. Matillion is a fast paced hyper-scale software development company. You will be based in India but working with colleagues globally specifically across the US, the UK and in Hyderabad. The Enterprise data team is responsible for producing Matillion's reporting metrics and KPIs. We work closely with Finance colleagues, the product team and Go To Market to interpret the data that we have and provide actionable insight across the business. The purpose of this role is to: Increase the value of strategic information from the data warehouse, Salesforce, Thoughtspot, and DPC HubDevelop models to help us understand customer behaviour specifically onboarding, product usage and churnUse our rich data assets to streamline operational processes What will you be doing? Run structured experiments to evaluate and improve LLM performance across generative and task-oriented functions. Improving our AI evaluation frameworks Investigating ways generative AI can be used to improve data quality Some more traditional data science predictive models to forecast customer consumption, churn and/or anomaly detection for failing data pipelines Keeping current on the latest research and proposing proof of concept projects to explore how it can assist us Educating other team members to raise the team’s understating of theoretical concepts and the latest developments What are we looking for? Technical/Role Specific - Core Skills MSc, PhD, or equivalent experience in ML, NLP, or a related field. Strong understanding of LLM internals: transformer architecture, tokenization, embeddings, sampling strategies. Python fluency, especially for data science and experimentation (NumPy, Pandas, Matplotlib, Jupyter). Experience with LLM tools (e.g. Hugging Face, LangChain, OpenAI API). Familiarity with prompt engineering and structured evaluation of generative outputs. Technical/Role Specific - Preferrable Skills Any experience of reinforcement learning techniques, even if on a small scale Experience of model evaluation fine tuning, model distillation, instruction tuning or transfer learning agentic systems (tool use / agentic frameworks) implementing guardrails RAG architecture design and vector search Understanding of Model failure modes, fallback strategies, and error recovery LLM performance optimization tradeoffs (latency, cost, accuracy) Uncertainty estimation and confidence scoring in generative systems Privacy and compliance considerations in AI for SaaS Personal Capabilities Enthusiasm to learn Able to coach and mentor those around you to increase their knowledge Comfort working across teams Ability to translate requirements between data scientists (research focus) and software engineers (product focus) Clear communication of challenges, timelines, and possible solutions to stakeholders Adaptability to rapid changes in a dynamic tech startup environment Enthusiasm for learning new AI/ML Ops tools, libraries, and techniques Proactive at diagnosing problems to understand a true root cause Willingness to experiment and to look for ways to optimise existing systems Willingness to pivot quickly in a rapidly evolving generative AI landscape Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: Company Equity 27 days paid time off 12 days of Company Holiday 5 days paid volunteering leave Group Mediclaim (GMC) Enhanced parental leave policies MacBook Pro Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

About Us SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. At SBI Card, the motto 'Make Life Simple' inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, colour, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. Join us to shape the future of digital payment in India and unlock your full potential. What’s in it for YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose Responsible for all product-related deliverables for insurance and cross-sell vertical. Role Accountability Manage Budgeting & Planning for Insurance business plan including renewal portfolio and Track and report performance parameters Create business MoU, track and drive actual performance against MoU and manage Cost budget allocations & reporting Ensure delivering renewal income from assigned Insurance portfolio. Ensure renewal persistency MOU % is met and achievement of renewal premium target for all partners Formulate strategy to achieve maximum renewal persistency for each portfolio and maintain year wise renewal persistency Identify new area of partnerships, filter best suitable partners, roll out RFP, Presentation by shortlisted partners, Scoring & closure of partner basis the pre-defined criteria and onboarding of new partner, formulations business plan and launch plan & delivery of planned business Lead New product introduction/launch for insurance & cross-sell by periodic competition mapping, identify new products & distribution channels, analyze the CBA, prepare & get "NPI Committee" approvals and Formulate business plan for launch & deliver on new product business plan Ensure regulatory compliance adherence, reporting, monitoring & exception highlighting and manage respective regulatory & internal audits. Manage any certification requirement i.e. "Specified Person/Auth. Verifier" for distribution for Insurance New business and complete enrollment i.e. training, certification & renewals of SPs. Manage all regulatory requirements with respect to "Specified Persons" Manage all relevant regulator audits for portfolio. Responsible for compliance of all tasks mandated by regulator, updating the completion status on Internal Compliance Portal Provide complete support to Insurance sales team with POS engagement activities. Run R&R programs, contests for NFTE, training, Insurance contest for card sales FTEs Drive alternate sourcing channel for insurance business. Online Sales - Develop co-branded portals/website, drive lead generation campaigns, social media campaigns, Email & SMS campaigns Evaluate and develop new insurance/ service assistance products and prepare NPI "New Product Introduction" pitch, market research, Competition mapping, work with partners for customization. Get sanctioned from NPI approval committee Ensure process documentation and compliance adherence Measures of Success New business and renewal business of assigned portfolio No adverse observation in internal / external audits Quality parameters within defined norms New product introduction, Alternate channel sourcing. New enrollment of Specified Persons Process Adherence as per MOU Technical Skills / Experience / Certifications Product Management P&L Management Portfolio management of insurance/assistance services New Product launch and management Digital Cross-sell In-depth understanding of all regulatory guidelines applicable to corporate agency business (IRDAI/TRAI/RBI etc.) Knowledge of regulatory environment in Financial/Insurance industry Experience of managing audit requirements and observations Competencies critical to the role Stakeholder Management Teamwork and collaboration Analytical ability High impact Communication Qualification MBA/PGDBM or Graduate in any discipline Preferred Industry BFSI

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This opportunity is in American Express Data Platform and Capabilities team, responsible for developing new business opportunities, launching & supporting new products and services, and expanding product distribution to support enterprise value and drive revenue growth. The team is focused on meeting the business needs of our customers by creating information products and services that leverage the American Express closed-loop data. The Customer 360 team is responsible for providing solutions to create a 360 view of our customers across different businesses. C360 platform uses big data platform and algorithms to recommend accurate information using internal Amex and External data sources. It has lot of enterprise-wide use cases catering to consumer, commercial and merchant business’s needs. Responsibilities of the candidate would include: Focus on supporting business use case specific issues using data analysis, identifying data trends, data monitoring and taking remediate actions Collaborate and manage key business stakeholders across the enterprise Document best practice guidelines to build knowledge within team and reduce the overall product issues Manage partner team expectations including scope, schedule, changes, and problem resolution Drive on-time, high quality project/process deliverables Appropriate action to highlight challenges and ensure resolution via correct channels. Independently handle customers/stakeholders for any queries/escalations Monitor and track user reported issues to ensure that timeliness & quality goals are met. Document best practice guidelines to build knowledge within team and reduce the overall product issues Minimum Qualifications Strong analytical skills including the ability to think through all aspects of complex business requirements and generate possible courses of action Demonstrated ability to drive results and manage multiple relationships and projects, proven ability to adjust quickly to shifting priorities, multiple demands, ambiguity and rapid change Ability to prioritize and deliver work within a deadline-driven climate. Strong communication skills oriented toward working with customers to document their product needs. Drive on-time, high quality project/process deliverables Team player with demonstrated ability in collaborating across customer and Technology organizations. Experience in creation & execution of User Acceptance test cases, specifically in a Big Data environment Hive/SQL Data handling skills & ability to detect patterns/problems based on analyzing data Data Ingestion and Product development knowhow in big data and elastic environment Basics of matching and scoring algorithms, Postman usage to run API collections, pull data and analyze it to determine product performance is a big plus. 3-5 years of experience as a business Analyst Preferred Qualifications Functional Demonstrated experience in SDLC including Development & Test Strategy creation Expertise in Project Management, Rally Management, JIRA and Service Now Expertise in Agile Scrum methodology Strong Business Acumen & problem-solving skills Technical Proficiency in Hive, SQL, Big Query, Postman, LUMI Advanced Excel Workable experience in Splunk Leadership Outcomes: Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings Demonstrate learning agility, make decisions quickly and with the highest level of integrity Lead with a digital mindset and deliver the world’s best customer experiences every day We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

We are seeking an AI-first Operations Analyst to lead the integration and optimization of AI technologies within the Marketing team. This role is central to scaling intelligent marketing by operationalizing advanced AI/ML models, large language models (LLMs), and generative AI tools to drive growth, efficiency, and personalization across the funnel. Responsibilities AI Systems Implementation: Lead the rollout and integration of AI tools across the marketing tech stack, including platforms like OpenAI, Jasper, HubSpot AI, and custom LLMs. AI-Driven Campaign Optimization: Use AI to automate and continuously optimize digital campaigns, content distribution, lead nurturing, and personalization at scale. LLM Workflow Design & Prompt Engineering: Build and refine workflows powered by large language models (e.g., ChatGPT), enabling automated content generation, audience targeting, and internal knowledge access. Predictive Lead Scoring & Buyer Intent Modeling: Deploy AI/ML models to score leads, predict conversion likelihood, segment audiences dynamically, and route leads intelligently to sales teams. AI Automation & Process Orchestration: Automate marketing processes (e.g., reporting, content tagging, CRM updates) using AI and low-code/no-code tools like Zapier or Make. Insight Generation & Decision Support: Use AI to extract insights from marketing performance data, identify trends, recommend actions, and generate auto-summaries for stakeholders. AI Governance & Model Monitoring: Define guardrails for ethical AI usage in marketing. Track model performance, ensure data privacy compliance, and continuously improve system reliability. Qualifications: Bachelor’s degree in Computer Science, Data Science, Marketing Technology, or a related field. 2+ years of experience in AI operations, marketing technology, or data-driven marketing roles. Required Skills: Ability to build and manage custom APIs to connect disparate tools, automate workflows, and enhance marketing performance. Hands-on skills in Python, SQL, or JavaScript for data transformation and API integration. Experience building intelligent agents or copilots tailored for marketing teams to drive efficiency and insights. Experience in using AI to improve lead scoring, content generation, campaign optimization, or customer segmentation. Benefits: Remote First Policy 5 Days Working With FLEXI Hours Group Medical Insurance (Parents, Spouse, Children) Group Accident Cover Company-Sponsored Device Education Reimbursement Policy.

Job Title : GTM (Go-To-Market) Automation Engineer US Client-Focused. Location : Pune / Remote. Reporting To : GTM Strategy Lead / Head of Revenue Operations. Engagement : Full-time | Working with US-based clients. Job Overview We are looking for a GTM Automation Engineer to support go-to-market operations for our US clients, focusing on automation, planning, and execution across sales, marketing, and customer success functions. Youll work directly with cross-functional US teams to streamline processes, accelerate execution, and ensure successful market rollouts through intelligent automation. Key Responsibilities Client-Centric Automation : Understand client-specific GTM requirements and build custom automation workflows to support sales campaigns, lead nurturing, customer onboarding, and retention. Build and manage integrations between platforms like Salesforce, HubSpot, Marketo, Intercom, and other US client systems. Automate marketing and sales operations using low-code/no-code platforms (Zapier, Make.com, Workato) and/or scripting. GTM Planning Support Work closely with US-based sales, marketing, and product teams to define and deliver automation that supports launch plans and GTM milestones. Manage timelines and ensure that campaign triggers, alerts, and performance tracking are fully operational before launch. Tooling & Infrastructure Maintain and optimize client GTM tech stack integrations to ensure data consistency, real-time syncs, and effective handoffs across systems. Monitor automation health, troubleshoot issues, and continuously improve workflow efficiency. Insights & Reporting Build and maintain dashboards that help US stakeholders track pipeline velocity, funnel performance, lead lifecycle, and campaign effectiveness. Provide clear documentation and training to client-side teams on automation tools and process changes. Required Qualifications Bachelors degree in Computer Science, Information Systems, or related field. 2- 4 years of experience in automation, GTM operations, or marketing/sales tech integration for international (preferably US) clients. Proficient with tools like Salesforce, HubSpot, Marketo, Segment, Intercom, Zapier, and APIs. Experience with scripting languages (Python, JavaScript) for automation and custom integration. Strong understanding of B2B sales funnels, lead scoring, and lifecycle automation. Nice To Have Prior experience working with SaaS or IT service clients in the United States. Familiarity with data privacy and compliance standards (GDPR, CCPA, HIPAA). Knowledge of AI/LLM workflows used in automation (e.g., using OpenAI APIs in GTM workflows). Working Hours & Communication Comfortable working in US time zones (EST/PST overlap) at least 45 hours per day. Strong English communication skills (verbal and written) for regular interaction with US client teams. Ability to independently handle task planning, updates, and status reporting with remote US teams. Key Attributes Strategic, proactive, and detail-oriented. Strong analytical mindset with the ability to turn requirements into automated workflows. Comfortable working independently and collaboratively with global teams. Focused on driving outcomes and client satisfaction through GTM process excellence. (ref:hirist.tech)

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This opportunity is in American Express Data Platform and Capabilities team, responsible for developing new business opportunities, launching & supporting new products and services, and expanding product distribution to support enterprise value and drive revenue growth. The team is focused on meeting the business needs of our customers by creating information products and services that leverage the American Express closed-loop data. The Customer 360 team is responsible for providing solutions to create a 360 view of our customers across different businesses. C360 platform uses big data platform and algorithms to recommend accurate information using internal Amex and External data sources. It has lot of enterprise-wide use cases catering to consumer, commercial and merchant business’s needs. Responsibilities of the candidate would include: Focus on supporting business use case specific issues using data analysis, identifying data trends, data monitoring and taking remediate actions Collaborate and manage key business stakeholders across the enterprise Document best practice guidelines to build knowledge within team and reduce the overall product issues Manage partner team expectations including scope, schedule, changes, and problem resolution Drive on-time, high quality project/process deliverables Appropriate action to highlight challenges and ensure resolution via correct channels. Independently handle customers/stakeholders for any queries/escalations Monitor and track user reported issues to ensure that timeliness & quality goals are met. Document best practice guidelines to build knowledge within team and reduce the overall product issues Minimum Qualifications Strong analytical skills including the ability to think through all aspects of complex business requirements and generate possible courses of action Demonstrated ability to drive results and manage multiple relationships and projects, proven ability to adjust quickly to shifting priorities, multiple demands, ambiguity and rapid change Ability to prioritize and deliver work within a deadline-driven climate. Strong communication skills oriented toward working with customers to document their product needs. Drive on-time, high quality project/process deliverables Team player with demonstrated ability in collaborating across customer and Technology organizations. Experience in creation & execution of User Acceptance test cases, specifically in a Big Data environment Hive/SQL Data handling skills & ability to detect patterns/problems based on analyzing data Data Ingestion and Product development knowhow in big data and elastic environment Basics of matching and scoring algorithms, Postman usage to run API collections, pull data and analyze it to determine product performance is a big plus. 3-5 years of experience as a business Analyst Preferred Qualifications Functional Demonstrated experience in SDLC including Development & Test Strategy creation Expertise in Project Management, Rally Management, JIRA and Service Now Expertise in Agile Scrum methodology Strong Business Acumen & problem-solving skills Technical Proficiency in Hive, SQL, Big Query, Postman, LUMI Advanced Excel Workable experience in Splunk Leadership Outcomes: Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings Demonstrate learning agility, make decisions quickly and with the highest level of integrity Lead with a digital mindset and deliver the world’s best customer experiences every day We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Title : Fintech Head OF Engineering - Identity & KYC Systems Salary: 45000 AED/Month About the Role We’re looking for a Head of Engineering – Identity & KYC Systems for one of the biggest Fintech players in Middle East & Africa to lead their identity platform's development, evolution, and scale. You will drive the strategy and execution of systems that power user onboarding, identity verification, KYC/AML checks, and compliance workflows. As a senior technology leader, you'll work at the intersection of product, risk, operations, and legal teams to ensure that our platform is secure, compliant, scalable, and delivers a seamless user experience.This role requires deep technical expertise, an understanding of regulatory landscapes, and a strong ability to build and lead high-performing engineering teams. What You Will Do 1. Identity & KYC Platform Ownership a. Define and drive the architectural vision and roadmap for identity, KYC, and verification systems. b. Led the engineering efforts across user onboarding, identity proofing, document OCR, biometric checks, AML screening, and account verification workflows. c. Ensure systems comply with regional and international regulations (e.g., AML/CFT, GDPR, eKYC standards). d. Build a scalable and pluggable platform that integrates seamlessly with third-party verification vendors. 2. Engineering & Org Leadership a. Manage and mentor a team of engineering managers, architects, and ICs across backend, mobile, and platform security teams. b. Build a world-class team culture centered on trust, ownership, and quality. c. Define org structure, career paths, and hiring plans to support scaling. 3. Security, Compliance & Observability a. Implement best practices in data security, encryption, and user privacy across the identity platform. b. Partner with compliance and legal teams to adapt the platform to evolving regulatory requirements. c. Ensure detailed observability of user verification flows, errors, drop-offs, and audit trails. 4. Cross-Functional Collaboration a. Work closely with Product, Risk, Legal, and Operations teams to align roadmap and OKRs. b. Support the launch of KYC features in new regions by adopting verification logic and flows. c. Own vendor evaluations and partnerships for biometric ID, OCR, AML, and risk scoring systems. 5. Delivery & Incident Management a. Drive reliable, timely delivery of new identity features, compliance updates, and platform improvements. b. Ensure systems are resilient and maintain high availability (99.9%+ uptime). c. Establish incident response processes for sensitive identity workflows and coordinate postmortems. What You Will Need 1. 10+ years of engineering experience, with at least 3–5 years in engineering leadership roles. 2. Deep understanding of identity verification workflows, user onboarding, or KYC/AML systems. 3. Experience integrating with or building APIs for document OCR, biometric verification, AML screening, and fraud detection. 4. Strong system design skills for high-availability, privacy-first, and auditable systems. 5. Familiarity with compliance frameworks such as GDPR, PCI DSS, SOC 2, FATF guidelines, or local laws. 6. Track record of leading technical teams through scale, complexity, and regulatory change. 7. Excellent communication and stakeholder management skills. Nice to Have 1. Experience working with regulated financial services, crypto, or telecom identity systems. 2. Familiarity with modular identity frameworks (DID, verifiable credentials, reusable KYC). 3. Experience in markets with fragmented ID infrastructure (e.g., Africa, Southeast Asia).

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. Matillion is a fast paced hyper-scale software development company. You will be based in India but working with colleagues globally specifically across the US, the UK and in Hyderabad. The Enterprise data team is responsible for producing Matillion's reporting metrics and KPIs. We work closely with Finance colleagues, the product team and Go To Market to interpret the data that we have and provide actionable insight across the business. The purpose of this role is to: Increase the value of strategic information from the data warehouse, Salesforce, Thoughtspot, and DPC HubDevelop models to help us understand customer behaviour specifically onboarding, product usage and churnUse our rich data assets to streamline operational processes What will you be doing? Run structured experiments to evaluate and improve LLM performance across generative and task-oriented functions Improving our AI evaluation frameworks Investigating ways generative AI can be used to improve data quality Some more traditional data science predictive models to forecast customer consumption, churn and/or anomaly detection for failing data pipelines Keeping current on the latest research and proposing proof of concept projects to explore how it can assist us Educating other team members to raise the team’s understating of theoretical concepts and the latest developments What are we looking for? Technical/Role Specific - Core Skills MSc, PhD, or equivalent experience in ML, NLP, or a related field Strong understanding of LLM internals: transformer architecture, tokenization, embeddings, sampling strategies Python fluency, especially for data science and experimentation (NumPy, Pandas, Matplotlib, Jupyter) Experience with LLM tools (e.g. Hugging Face, LangChain, OpenAI API) Familiarity with prompt engineering and structured evaluation of generative outputs Technical/Role Specific - Preferrable Skills Any experience of reinforcement learning techniques, even if on a small scale Experience of model evaluation fine tuning, model distillation, instruction tuning or transfer learning agentic systems (tool use / agentic frameworks) implementing guardrails RAG architecture design and vector search Understanding of Model failure modes, fallback strategies, and error recovery LLM performance optimization tradeoffs (latency, cost, accuracy) Uncertainty estimation and confidence scoring in generative systems Privacy and compliance considerations in AI for SaaS Personal Capabilities Enthusiasm to learn Able to coach and mentor those around you to increase their knowledge Comfort working across teams Ability to translate requirements between data scientists (research focus) and software engineers (product focus) Clear communication of challenges, timelines, and possible solutions to stakeholders Adaptability to rapid changes in a dynamic tech startup environment Enthusiasm for learning new AI/ML Ops tools, libraries, and techniques Proactive at diagnosing problems to understand a true root cause Willingness to experiment and to look for ways to optimise existing systems Willingness to pivot quickly in a rapidly evolving generative AI landscape Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: - Company Equity - 27 days paid time off - 12 days of Company Holiday - 5 days paid volunteering leave - Group Mediclaim (GMC) - Enhanced parental leave policies - MacBook Pro - Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Oracle Advanced Collections Consultant1 Job Title: Oracle Advanced Collections Consultant Location: Offshore Job Summary We are seeking an experienced Oracle Advanced Collections Consultant to support the design, configuration, and optimization of the Oracle Advanced Collections module within the Oracle Cloud environment. The ideal candidate will have a deep understanding of collection strategies, dunning, scoring, and integration with Accounts Receivable (AR) processes. Key Responsibilities: Lead the implementation, configuration, or support of Oracle Advanced Collections Design and optimize collection strategies, workflows, scoring engines, and dunning plans Work closely with business stakeholders to gather requirements and translate them into system solutions Integrate Advanced Collections with Accounts Receivable (AR), Customer Data Management, and other related modules Troubleshoot and resolve issues related to collection activities, performance, and data integrity Provide training and documentation to end users and support teams Support testing cycles including unit testing, integration testing, and UAT Collaborate with functional and technical teams for data migration, system upgrades, and patch management Required Skills & Qualifications 5+ years of hands-on experience with Oracle Advanced Collections Strong knowledge of Oracle AR, Credit Management, and Collections workflows Experience with scoring engines, dunning plans, and collection strategies Familiarity with SQL for data validation and reporting Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Nice To Have Knowledge of integration tools/APIs related to Oracle Financials Exposure to global collections processes and compliance requirements

Role : Demand Generation Manager Exp: 5+ Years Shift: US/ CST Hours Work Mode: Remote / Hybrid About RChilli: RChilli is a leading provider of AI-powered recruitment solutions, helping companies streamline their hiring process with accurate data extraction and seamless integration. With successful partnerships with Salesforce, Oracle HCM, Workday and SAP SuccessFactors, RChilli is committed to revolutionizing recruitment technology. Job Overview: We are seeking an experienced and strategic Demand Generation Manager to lead and execute demand generation campaigns. You will be responsible for driving pipeline growth, generating qualified leads, and supporting the sales team by implementing targeted marketing strategies. Your expertise will play a key role in expanding our presence in the ERP market. Key Responsibilities Demand Generation Strategy: Develop and execute comprehensive demand generation strategies to drive awareness, lead generation, and revenue growth. Implement multi-channel marketing campaigns including email, paid media, content marketing, webinars, and ABM campaigns. Campaign Management Create, manage, and optimize integrated marketing campaigns using HubSpot and other marketing tools. Collaborate with the SDR team to ensure alignment between marketing initiatives and outbound outreach. Account-Based Marketing (ABM) Develop personalized ABM strategies to engage key decision-makers at target companies using Oracle HCM, SAP SuccessFactors, and other ERP systems. Partner with the sales team to identify priority accounts and create tailored content and messaging. Lead Nurturing And Conversion Design and execute lead nurturing workflows to move prospects through the funnel. Manage and optimize lead scoring models and ensure seamless handoff to the sales team. Performance Analytics Track and analyze campaign performance metrics including CPL, MQLs, SQLs, pipeline contribution, and ROI. Provide insights and recommendations for continuous improvement. Collaboration Partner with the content team to develop engaging content assets including whitepapers, case studies, and webinars. Work closely with the SDR, sales, and product marketing teams to align on goals and share insights. Marketing Technology Management Utilize HubSpot, Reply.io, and other marketing automation tools for campaign management and reporting. Leverage AI-powered tools to optimize performance and drive efficiency. Qualifications 5+ years of experience in demand generation, preferably in a B2B SaaS or HR Tech environment. Proven track record of managing successful multi-channel campaigns for ERP or similar enterprise markets. Strong understanding of ABM strategies and lead nurturing techniques. Hands-on experience with HubSpot, Reply.io, Google Analytics, and LinkedIn Ads. Excellent analytical and reporting skills. Experience collaborating with sales, SDRs, and content teams. Familiarity with ERP systems like Oracle HCM and SAP SuccessFactors is highly preferred. Preferred Qualifications Experience using AI-powered tools for campaign optimization. Strong project management skills with the ability to manage multiple campaigns. Excellent written and verbal communication skills. Benefits Competitive salary and performance-based incentives. Remote work flexibility. Opportunity to work with a leading AI-driven recruitment solutions provider. Collaborative and dynamic work environment.

Oracle Advanced Collections Consultant1 Job Title: Oracle Advanced Collections Consultant Location: Offshore Job Summary We are seeking an experienced Oracle Advanced Collections Consultant to support the design, configuration, and optimization of the Oracle Advanced Collections module within the Oracle Cloud environment. The ideal candidate will have a deep understanding of collection strategies, dunning, scoring, and integration with Accounts Receivable (AR) processes. Key Responsibilities: Lead the implementation, configuration, or support of Oracle Advanced Collections Design and optimize collection strategies, workflows, scoring engines, and dunning plans Work closely with business stakeholders to gather requirements and translate them into system solutions Integrate Advanced Collections with Accounts Receivable (AR), Customer Data Management, and other related modules Troubleshoot and resolve issues related to collection activities, performance, and data integrity Provide training and documentation to end users and support teams Support testing cycles including unit testing, integration testing, and UAT Collaborate with functional and technical teams for data migration, system upgrades, and patch management Required Skills & Qualifications 5+ years of hands-on experience with Oracle Advanced Collections Strong knowledge of Oracle AR, Credit Management, and Collections workflows Experience with scoring engines, dunning plans, and collection strategies Familiarity with SQL for data validation and reporting Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Nice To Have Knowledge of integration tools/APIs related to Oracle Financials Exposure to global collections processes and compliance requirements

Oracle Advanced Collections Consultant1 Job Title: Oracle Advanced Collections Consultant Location: Offshore Job Summary We are seeking an experienced Oracle Advanced Collections Consultant to support the design, configuration, and optimization of the Oracle Advanced Collections module within the Oracle Cloud environment. The ideal candidate will have a deep understanding of collection strategies, dunning, scoring, and integration with Accounts Receivable (AR) processes. Key Responsibilities: Lead the implementation, configuration, or support of Oracle Advanced Collections Design and optimize collection strategies, workflows, scoring engines, and dunning plans Work closely with business stakeholders to gather requirements and translate them into system solutions Integrate Advanced Collections with Accounts Receivable (AR), Customer Data Management, and other related modules Troubleshoot and resolve issues related to collection activities, performance, and data integrity Provide training and documentation to end users and support teams Support testing cycles including unit testing, integration testing, and UAT Collaborate with functional and technical teams for data migration, system upgrades, and patch management Required Skills & Qualifications 5+ years of hands-on experience with Oracle Advanced Collections Strong knowledge of Oracle AR, Credit Management, and Collections workflows Experience with scoring engines, dunning plans, and collection strategies Familiarity with SQL for data validation and reporting Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Nice To Have Knowledge of integration tools/APIs related to Oracle Financials Exposure to global collections processes and compliance requirements

Oracle Advanced Collections Consultant1 Job Title: Oracle Advanced Collections Consultant Location: Offshore Job Summary We are seeking an experienced Oracle Advanced Collections Consultant to support the design, configuration, and optimization of the Oracle Advanced Collections module within the Oracle Cloud environment. The ideal candidate will have a deep understanding of collection strategies, dunning, scoring, and integration with Accounts Receivable (AR) processes. Key Responsibilities: Lead the implementation, configuration, or support of Oracle Advanced Collections Design and optimize collection strategies, workflows, scoring engines, and dunning plans Work closely with business stakeholders to gather requirements and translate them into system solutions Integrate Advanced Collections with Accounts Receivable (AR), Customer Data Management, and other related modules Troubleshoot and resolve issues related to collection activities, performance, and data integrity Provide training and documentation to end users and support teams Support testing cycles including unit testing, integration testing, and UAT Collaborate with functional and technical teams for data migration, system upgrades, and patch management Required Skills & Qualifications 5+ years of hands-on experience with Oracle Advanced Collections Strong knowledge of Oracle AR, Credit Management, and Collections workflows Experience with scoring engines, dunning plans, and collection strategies Familiarity with SQL for data validation and reporting Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Nice To Have Knowledge of integration tools/APIs related to Oracle Financials Exposure to global collections processes and compliance requirements

Oracle Advanced Collections Consultant1 Job Title: Oracle Advanced Collections Consultant Location: Offshore Job Summary We are seeking an experienced Oracle Advanced Collections Consultant to support the design, configuration, and optimization of the Oracle Advanced Collections module within the Oracle Cloud environment. The ideal candidate will have a deep understanding of collection strategies, dunning, scoring, and integration with Accounts Receivable (AR) processes. Key Responsibilities: Lead the implementation, configuration, or support of Oracle Advanced Collections Design and optimize collection strategies, workflows, scoring engines, and dunning plans Work closely with business stakeholders to gather requirements and translate them into system solutions Integrate Advanced Collections with Accounts Receivable (AR), Customer Data Management, and other related modules Troubleshoot and resolve issues related to collection activities, performance, and data integrity Provide training and documentation to end users and support teams Support testing cycles including unit testing, integration testing, and UAT Collaborate with functional and technical teams for data migration, system upgrades, and patch management Required Skills & Qualifications 5+ years of hands-on experience with Oracle Advanced Collections Strong knowledge of Oracle AR, Credit Management, and Collections workflows Experience with scoring engines, dunning plans, and collection strategies Familiarity with SQL for data validation and reporting Strong analytical and problem-solving skills Excellent communication and stakeholder engagement skills Nice To Have Knowledge of integration tools/APIs related to Oracle Financials Exposure to global collections processes and compliance requirements

Senior Manager EXL/SM/1368750 ServicesGurgaon Posted On 03 Jul 2025 End Date 17 Aug 2025 Required Experience 6 - 11 Years Basic Section Number Of Positions 1 Band C2 Band Name Senior Manager Cost Code D014751 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 2000000.0000 - 3000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Banking & Financial Services Organization Services LOB Banking & Financial Services SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill ANOMALY DETECTION TRANSACTION MONITORING SQL PYTHON Minimum Qualification B.TECH/B.E Certification No data available Job Description We are seeking a detail-oriented and analytical professional to support our client's Merchant Finance team as a Transaction Monitoring and Anomaly Detection Analyst. In this role, you will be responsible for developing, managing, and enhancing systems and processes that monitor financial transactions to detect fraud, money laundering, or unusual patterns in merchant activity. This position plays a critical role in safeguarding our payment infrastructure and maintaining regulatory compliance. Key Responsibilities Design and implement transaction monitoring rules and models for merchant financing and payments. Analyze merchant transaction data to detect suspicious, fraudulent, or anomalous behavior patterns. Collaborate with data science teams to build and refine anomaly detection algorithms using machine learning and statistical methods. Perform deep dives on flagged transactions to identify root causes and patterns. Work closely with risk, product, compliance, and engineering teams to define detection strategies and enhance risk scoring systems. Maintain and improve the transaction monitoring system, including rule tuning and false positive reduction. Ensure timely escalation and reporting of suspicious activity to compliance and regulatory bodies as required (e.g., SARs/STRs). Conduct post-incident analysis to improve detection capabilities and reduce future risk. Prepare periodic reports and dashboards for senior management and regulatory reporting. Required Qualifications Bachelor’s or Master’s degree in Finance, Data Science, Statistics, Computer Science, or related field. 6+ years of experience in transaction monitoring, fraud analytics, or anomaly detection in financial services, preferably in merchant/acquirer finance. Strong analytical skills with hands-on experience in SQL, Python, R, or other analytical tools. Experience with rule-based and machine learning-based anomaly detection systems. Familiarity with merchant behavior analytics, risk profiling, and fraud typologies. Understanding of AML (Anti-Money Laundering), KYC, and regulatory requirements. Excellent communication and documentation skills. Workflow Workflow Type L&S-DA-Consulting

JLL empowers you to shape a brighter way . Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Work Place Operations. Review operational SOP’s & propose / make changes as part of continuous improvement. Cost Reduction Initiatives: Regular reviews of existing operations to identify inefficiencies and implement strategies to reduce costs. Purchase Order (PO) Creation: Enable smooth purchasing operations by creating and managing PO’s. Vendor Management: Implement an efficient vendor management system to streamline operations through monthly connects, performance reviews, and KPI scoring. Invoice Processing: Make sure all vendor invoices are processed on time in CAAPS. Monthly Financial report- Supports in timely closer of accruals, and variance reports. SOP Implementation: Guarantee SOPs are followed on-site with diligent tracking and closure of open operational items. Auditing: Regular and surprise audits to ensure adherence to SOPs. Internal Audits: • Ensure Audit Preparations and Participation; Responsible for closing all audit findings. Submission of MIS reporting. Email Responsiveness: Ensure quick response times to emails, employees' concerns, and meeting minute circulation. Contract Management: Ensure contracts are well-managed, cost-effective, and renewed timely as required. Health & Safety Management: Prioritize a safe working environment and ensure full compliance with statutory regulations on fire, health, and safety standards. Green sourcing in the procurement of consumables, etc initiatives. Initiatives related to Sustainability to be introduced & share best practices with other colleagues in the workplace. Indent – Monthly indent/consumption/stock in hand records to be maintained. Training & Development: Ensure monthly support Staff Training and development, Ensure TPV Staff onboarding and training; Ensure TPV Fire Safety Training before the Fire Drill. Coordination & support in monthly office festivals & events and Guest handling. Guest Visit – Meeting room readiness, food & travel arrangements including Hotel Bookings. Location: On-site –Gurugram, HR Scheduled Weekly Hours: 40 If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table! JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For additional details please see our career site pages for each country. . Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at accomodationrequest@am.jll.com . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.