3930 R Jobs - Page 38

We are looking for a highly skilled and experienced Quantitative Trading Strategy Analyst to join our team at QuantInsti, a leading provider of quantitative learning solutions in the IT Services & Consulting industry. The ideal candidate will have a strong background in developing and implementing trading strategies using advanced analytics techniques. Roles and Responsibility Develop and maintain complex trading models to optimize portfolio performance. Collaborate with cross-functional teams to identify new business opportunities and improve existing strategies. Analyze market trends and data to inform trading decisions and optimize risk management. Design and implement automated trading systems to execute trades efficiently. Monitor and report on trading performance, providing insights and recommendations for improvement. Stay up-to-date with industry developments and emerging trends in quantitative trading. Job Requirements Strong understanding of financial markets, instruments, and regulations. Proficiency in programming languages such as Python, R, or Matlab. Experience with data analysis tools like SQL, Excel, or Tableau. Excellent problem-solving skills, with the ability to analyze complex data sets. Strong communication and collaboration skills, with experience working with diverse teams. Ability to work in a fast-paced environment, delivering high-quality results under tight deadlines.

Novo Nordisk Global Business Services (GBS) India Department Centralised Monitoring Unit, CDS GBS - Bangalore Are you passionate about what you are doingDo you want to build excellence within processes in the most efficient wayDo you have innovative mindset to drive change in a future-ready environmentAre you best at what you doIf so, raise your hand as there is an exciting opportunity waiting for you as an "Senior Functional Programmer " with us. "" At Novo Nordisk, we assure you will experience the best. About the department Bangalore Global Development since its inception, has transitioned from a small start-up to one of the largest units in Global Business Services, Bangalore (GBS) and a key contributor to Novo Nordisk clinical development portfolio. The Centralised Monitoring Unit (CMU) was established in GBS in 2016 to support the Risk Based Monitoring of clinical trials conducted by Novo Nordisk in line with health authority requirements. The unit is the single and only entity across the globe responsible for performance of centralised medical monitoring for all clinical trials involving medical review of patient data that includes medical monitoring and lab surveillance and generation of visualisations and reports identifying outliers and trends from various data sources. The Position As a Senior Functional Programmer, the role involves generating standard and customized trial monitoring reports to support Risk-Based Quality Monitoring (RBQM) across clinical trial portfolios, using tools like SQL, SAS, Power BI, and Python. Responsibilities include understanding stakeholder needs, programming data-driven reports from multiple clinical systems, and ensuring high-quality deliverables through rigorous quality checks. The role also includes preparing documentation, supporting process improvements, and contributing to training initiatives. Responsible to generate standard and custom trial monitoring reports using languages like SQL, SAS, Python in different BI tools (Qlik Sense, Power BI, SAS JMP Clinical, Clue Point, eClincal etc.) ensuring alignment with stakeholder needs and RBQM requirements. Responsible to prepare, maintain, and peer-review report-related documentation; develop and perform quality checks to ensure accuracy and compliance. Conduct and chair trial monitoring meetings, gather requirements, train stakeholders on report usage, track requests, and manage expectations and timelines. Train and mentor new team members, support onboarding processes, and assist in developing training materials based on project needs. Ensure contributing to process enhancements, share best practices, and support the manager in resource allocation and project timeline planning. Qualifications A Masters or Bachelors degree in Life Sciences, Computer Science, Information Technology, Clinical Information Management, or a related field. Equivalent qualifications or relevant professional certifications will also be considered. 4"“6 years of experience in the pharmaceutical or life sciences industry, with a minimum of 4 years in clinical data management systems, bioinformatics, or as a Clinical Research Associate. Strong technical proficiency in computer systems and IT, particularly as they apply to clinical data handling and process optimization. In-depth understanding of GxP principles, as well as international guidelines and regulations related to drug development. Knowledge of computer system validation practices is essential. Proven experience in project management, team supervision, and mentoring, with the ability to lead cross-functional and cross-regional collaborations effectively. Strong interpersonal and presentation skills, with the ability to communicate complex technical and clinical concepts to both technical and non-technical stakeholders. Solid understanding of the drug development lifecycle, along with working knowledge of basic medical and clinical terminology. Advanced skills in any of the programming languages such as SAS, VBScript, SQL, PL/SQL, Power BI, or Python. Experience with additional tools like JSL, R-Shiny, or Natural Language Processing (NLP) is a strong plus.

Novo Nordisk Global Business Services (GBS), India Department- Centralised Monitoring Unit (CMU)- Bangalore Does your motivation come from challenges and working in a dynamic environmentDo you thrive in a working environment where close collaboration with key stakeholders and strategic alignment is essentialDo you have a can-do attitude with continuous improvement as one of your career objectivesThen we might have the right position for you. Apply now and join a growing team, working in an international environment. About the department The Centralised Monitoring Unit (CMU)- Bangalore, is a department within the Global Trial Portfolio area. It is a perfect blend of skilled medical professionals (Medical reviewers), technical programmers (Functional programmers, statistical monitors) and Medical Illustrators. Medical reviewers actively involved in Risk based medical monitoring in collaboration with the medical specialists from Denmark, with focus on ensuring overall patient safety and wellbeing of all clinical trial participants, by ensuring compliance to protocol and identifying potential clinically significant outliers that requires medical attention and medical data cleaning. The Functional Programmers develop operational visualisations in data visualization tools to support the trial teams on proactive centralised monitoring and Statistical Monitors perform detection of unusual data patterns, systematic errors and potential lack of compliance or fraud across trials. Medical Illustrators are responsible for developing engaging visual content for our clinical meetings. The Position As Senior Central Monitor, an ideal candidate will be responsible for providing inputs in defining standard and trial specific key risk indicators and performing ongoing monitoring of operational risks. Ensure both standard and trial specific Key Risk Indicators (KRIs) impacting patient safety and data quality and regulatory compliance are appropriately defined as per protocol, monitoring strategy etc prior to start of centralised operational monitoring review. Responsible to Perform ongoing centralised operational monitoring activities on assigned studies using vendor platform dashboards/outputs in accordance with NN SOPs, ICH/GCP, regulatory guidelines & directives. Provide inputs to applications, databases and systems used to monitor operational data. Responsible for communication and findings of operational review to relevant stakeholders to enable decision making. Act as primary contact for relevant stakeholders and participate in project meetings for assigned centralized monitoring studies . Prior experience with RBQM (Risk-Based Quality Management) and field monitoring as a CRA is desirable. Familiarity with analytical tools is preferred, as well as experience using SAS, Python, R, and SQL. Contribute to discussions around share learnings and practices with wider CMU department colleagues and with other relevant stakeholders Maintain knowledge of and act in compliance with global and local SOPs, GCP and other regulatory requirements. Qualifications Minimum of bachelors degree in life science/scientific or health care discipline. Above 5 years of relevant clinical research experience with good knowledge of drug development process and risk-based quality management principles. Prior CRA/Field Monitoring and analytical tool experience is desirable Skill in aggregate data review and interpretation using visualization/analysis softwares Solid understanding of clinical trial design, trial execution and operations. Ability to successfully manage multiple projects and priorities. Good Communication & Presentation skills. Ability to work collaboratively and effectively in a cross functional and culturally diverse teams. Ability to work independently/responsively and with tight deadlines and under pressure. Quality mind-set and strong analytical skills, Strong attention to detail , Proactive and resilient to changes . Interact with colleagues, stakeholders, project members, management in a proactive and professional manner.

Novo Nordisk Global Business Services (GBS), India Department- Centralised Monitoring Unit (CMU)- Bangalore Does your motivation come from challenges and working in a dynamic environmentDo you thrive in a working environment where close collaboration with key stakeholders and strategic alignment is essentialDo you have a can-do attitude with continuous improvement as one of your career objectivesThen we might have the right position for you. Apply now and join a growing team, working in an international environment. About the department The Centralised Monitoring Unit (CMU)- Bangalore, is a department within the Global Trial Portfolio area. It is a perfect blend of skilled medical professionals (Medical reviewers), technical programmers (Functional programmers, statistical monitors) and Medical Illustrators. Medical reviewers actively involved in Risk based medical monitoring in collaboration with the medical specialists from Denmark, with focus on ensuring overall patient safety and wellbeing of all clinical trial participants, by ensuring compliance to protocol and identifying potential clinically significant outliers that requires medical attention and medical data cleaning. The Functional Programmers develop operational visualisations in data visualization tools to support the trial teams on proactive centralised monitoring and Statistical Monitors perform detection of unusual data patterns, systematic errors and potential lack of compliance or fraud across trials. Medical Illustrators are responsible for developing engaging visual content for our clinical meetings. The Position As Central Monitor, an ideal candidate will be responsible for providing inputs in defining standard and trial specific key risk indicators and performing ongoing monitoring of operational risks. Ensure both standard and trial specific Key Risk Indicators (KRIs) impacting patient safety and data quality and regulatory compliance are appropriately defined as per protocol, monitoring strategy etc prior to start of centralised operational monitoring review. Responsible to Perform ongoing centralised operational monitoring activities on assigned studies using vendor platform dashboards/outputs in accordance with NN SOPs, ICH/GCP, regulatory guidelines & directives. Provide inputs to applications, databases and systems used to monitor operational data. Responsible for communication and findings of operational review to relevant stakeholders to enable decision making. Act as primary contact for relevant stakeholders and participate in project meetings for assigned centralized monitoring studies . Prior experience with RBQM (Risk-Based Quality Management) and field monitoring as a CRA is desirable. Familiarity with analytical tools is preferred, as well as experience using SAS, Python, R, and SQL. Contribute to discussions around share learnings and practices with wider CMU department colleagues and with other relevant stakeholders Maintain knowledge of and act in compliance with global and local SOPs, GCP and other regulatory requirements. Qualifications Minimum of bachelors degree in life science/scientific or health care discipline. Above 3 years of relevant clinical research experience with good knowledge of drug development process and risk-based quality management principles. Prior CRA/Field Monitoring and analytical tool experience is desirable Skill in aggregate data review and interpretation using visualization/analysis softwares Solid understanding of clinical trial design, trial execution and operations. Ability to successfully manage multiple projects and priorities. Good Communication & Presentation skills. Ability to work collaboratively and effectively in a cross functional and culturally diverse teams. Ability to work independently/responsively and with tight deadlines and under pressure. Quality mind-set and strong analytical skills, Strong attention to detail , Proactive and resilient to changes . Interact with colleagues, stakeholders, project members, management in a proactive and professional manner.

We are looking for a highly motivated and talented Junior Data Scientist to join our team at AGR Knowledge Services Pvt Ltd. The ideal candidate will have 2-4 years of experience in the field. Roles and Responsibility Collaborate with cross-functional teams to design and develop data-driven solutions. Analyze complex data sets to identify trends and patterns, providing actionable insights. Develop and maintain databases, data systems, and data pipelines. Design and implement machine learning models and algorithms to solve business problems. Work closely with stakeholders to understand business needs and develop targeted solutions. Stay up-to-date with industry trends and emerging technologies in data science. Job Requirements Strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python, R, or SAS. Experience with data analysis tools such as SQL, Excel, or Tableau. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines.

Novo Nordisk Global Business Services (GBS) India Department Centralised Monitoring Unit, CDS GBS - Bangalore Are you passionate about what you are doingDo you want to build excellence within processes in the most efficient wayDo you have innovative mindset to drive change in a future-ready environmentAre you best at what you doIf so, raise your hand as there is an exciting opportunity waiting for you as an "Functional Programmer " with us. "" At Novo Nordisk, we assure you will experience the best. About the department Bangalore Global Development since its inception, has transitioned from a small start-up to one of the largest units in Global Business Services, Bangalore (GBS) and a key contributor to Novo Nordisk clinical development portfolio. The Centralised Monitoring Unit (CMU) was established in GBS in 2016 to support the Risk Based Monitoring of clinical trials conducted by Novo Nordisk in line with health authority requirements. The unit is the single and only entity across the globe responsible for performance of centralised medical monitoring for all clinical trials involving medical review of patient data that includes medical monitoring and lab surveillance and generation of visualisations and reports identifying outliers and trends from various data sources. The Position As a Functional Programmer, the role involves generating standard and customized trial monitoring reports to support Risk-Based Quality Monitoring (RBQM) across clinical trial portfolios, using tools like SQL, SAS, Power BI, and Python. Responsibilities include understanding stakeholder needs, programming data-driven reports from multiple clinical systems, and ensuring high-quality deliverables through rigorous quality checks. The role also includes preparing documentation, supporting process improvements, and contributing to training initiatives. Responsible to generate standard and custom trial monitoring reports using languages like SQL, SAS, Python in different BI tools (Qlik Sense, Power BI, SAS JMP Clinical, Clue Point, eClincal etc.) ensuring alignment with stakeholder needs and RBQM requirements. Responsible to prepare, maintain, and peer-review report-related documentation; develop and perform quality checks to ensure accuracy and compliance. Conduct and chair trial monitoring meetings, gather requirements, train stakeholders on report usage, track requests, and manage expectations and timelines. Train and mentor new team members, support onboarding processes, and assist in developing training materials based on project needs. Ensure contributing to process enhancements, share best practices, and support the manager in resource allocation and project timeline planning. Qualifications A Masters or Bachelors degree in Life Sciences, Computer Science, Information Technology, Clinical Information Management, or a related field. Equivalent qualifications or relevant professional certifications will also be considered. Above 3 years of experience in the pharmaceutical or life sciences industry, with a minimum of 2 years in clinical data management systems, bioinformatics, or as a Clinical Research Associate. Strong technical proficiency in computer systems and IT, particularly as they apply to clinical data handling and process optimization. In-depth understanding of GxP principles, as well as international guidelines and regulations related to drug development. Knowledge of computer system validation practices is essential. Proven experience in project management, team supervision, and mentoring, with the ability to lead cross-functional and cross-regional collaborations effectively. Strong interpersonal and presentation skills, with the ability to communicate complex technical and clinical concepts to both technical and non-technical stakeholders. Solid understanding of the drug development lifecycle, along with working knowledge of basic medical and clinical terminology. Advanced skills in any of the programming languages such as SAS, VBScript, SQL, PL/SQL, Power BI, or Python. Experience with additional tools like JSL, R-Shiny, or Natural Language Processing (NLP) is a strong plus.

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Software Engineer - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Technical Lead - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

We are looking for a highly motivated and talented Junior Data Scientist to join our team at AGR Knowledge Services Pvt Ltd. The ideal candidate will have 2-4 years of experience in the field. Roles and Responsibility Collaborate with cross-functional teams to design and develop data-driven solutions. Analyze complex data sets to identify trends and patterns, providing actionable insights. Develop and maintain databases, data systems, and data pipelines. Design and implement machine learning models and algorithms to solve business problems. Work closely with stakeholders to understand business needs and develop targeted solutions. Stay up-to-date with industry trends and emerging technologies in data science. Job Requirements Strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python, R, or SAS. Experience with data analysis tools such as SQL, Excel, or Tableau. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines.

Project description The ideal candidate will have a strong background in compiler development, with a minimum of 3 years of experience in the field. He / She will be responsible for contributing to the development and optimization of our compilers, with a focus on enhancing performance and functionality. Experience with open-source development, particularly with GCC and/or LLVM, is highly preferred. Responsibilities Design, develop, and optimize compiler components for AOCC, focusing on performance improvements and new feature implementation. Collaborate with cross-functional teams to integrate compiler enhancements into the overall software ecosystem. Participate in code reviews, providing constructive feedback to peers and ensuring high-quality code standards. -Contribute to open-source projects, particularly GCC and/or LLVM, by submitting patches, reviewing code, and engaging with the community. Analyze and resolve complex compiler-related issues, ensuring robust and efficient solutions. Stay updated with the latest advancements in compiler technology and incorporate relevant innovations into AOCC products. Document development processes, technical specifications, and user guides to facilitate knowledge sharing and product support. Skills Must have 3+ years of experience in compiler development or a related area. Proven experience with open-source development, preferably with GCC and/or LLVM. Strong programming skills in C/C++ and familiarity with other programming languages. Solid understanding of compiler design principles, optimization techniques, and code generation. Experience with performance analysis and profiling tools. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse audiences. Nice to have Experience with parallel programming models such as OpenMP. Familiarity with performance benchmarking tools like SPEC CPU2017. Knowledge of modern processor architectures and instruction sets.

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Raynas Infra & Geomatics services is looking for Drone Operator / Pilot (DGCA Pilot License) to join our dynamic team and embark on a rewarding career journey Operate drones for various applications. Conduct pre-flight and post-flight inspections. Ensure compliance with safety and regulatory standards. Maintain and update drone equipment. Collaborate with team members on drone projects. We required Geomatics Engineer with minimum Qualification of (BE/BA/Bsc/B-COM/B-tech/M-tech in any Stream) Working knowledge of Mission Planner Software and DJI Phantom 4 Pro V2,Idear Forge Nijja Drone.

Role Description : As a Technical Lead - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills : Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills : Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Technical Lead - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills : Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

1Digital is looking for Social Media Professional to join our dynamic team and embark on a rewarding career journey Develop and execute a social media strategy that aligns with our brand and business goals Create and curate engaging, relevant, and on-brand content for social media platforms Manage and grow our online community by responding to comments and messages in a timely and professional manner Monitor and analyze the performance of our social media campaigns using tools such as Google Analytics and social media analytics platforms Collaborate with other team members to ensure that our social media efforts are integrated with other marketing efforts and aligned with our overall business objectives

1Digital is looking for Social Media Professional to join our dynamic team and embark on a rewarding career journey Develop and execute a social media strategy that aligns with our brand and business goals Create and curate engaging, relevant, and on-brand content for social media platforms Manage and grow our online community by responding to comments and messages in a timely and professional manner Monitor and analyze the performance of our social media campaigns using tools such as Google Analytics and social media analytics platforms Collaborate with other team members to ensure that our social media efforts are integrated with other marketing efforts and aligned with our overall business objectives

1Digital is looking for Social Media Professional to join our dynamic team and embark on a rewarding career journey Develop and execute a social media strategy that aligns with our brand and business goals Create and curate engaging, relevant, and on-brand content for social media platforms Manage and grow our online community by responding to comments and messages in a timely and professional manner Monitor and analyze the performance of our social media campaigns using tools such as Google Analytics and social media analytics platforms Collaborate with other team members to ensure that our social media efforts are integrated with other marketing efforts and aligned with our overall business objectives

Therole requires an individual who takes ownership to resolve customer issues andresponds appropriately. MAJOR DELIVERABLES Resolving ticketsreceived from clients within defined SLA Coordinate withdevelopers for the issues received in tickets to fix it for clients Follow up withother teams on the issues which require code change and inform the clients accordingly Coordinate withUS team to get input on tickets Regularly reviewsincidents logged Uses technicalunderstanding to question and resolve issues raised by clients. Ensures all callslogged are clearly written so that any team member can understand the issue. Takes day to dayresponsibility for resolving issues through CRM tool. Understands andexecutes against agreed processes for implementing fixes/changes. Provides regularclient and internal communication on assigned activity and incidents -highlighting any issues that might impact delivery in the defined timescales toTeam Leader/Support Manager. Escalates to TeamLeader/Support Manager when there are resource conflicts, or when SLA's are at risk of not being met. Skills Experience (Essential) Experience onOracle or Microsoft SQL server database - Certification preferred but not must Client interaction exposure Goodcommunication skills, Verbal and Written both, is a MUST Please note thatthis role works on a rotational / US shifts and weekends Skills Experience (Desirable) Able to shareideas with the team and self-confident. Go-getter andsolution-oriented personality Very quicklearner and keen to learn new things Personal attributes A continualdesire to go above and beyond to resolve customer issues within SLAs andsuggest more efficient and effective ways of working Willing to workin a fast paced, dynamic environment Ability to communicateboth internally and externally Ability tomulti-task, work under pressure and to tight deadlines Positive can-doattitude, team player Efficient and Proactive

1Digital is looking for Social Media Professional to join our dynamic team and embark on a rewarding career journey Develop and execute a social media strategy that aligns with our brand and business goals Create and curate engaging, relevant, and on-brand content for social media platforms Manage and grow our online community by responding to comments and messages in a timely and professional manner Monitor and analyze the performance of our social media campaigns using tools such as Google Analytics and social media analytics platforms Collaborate with other team members to ensure that our social media efforts are integrated with other marketing efforts and aligned with our overall business objectives

Developing Image Processing/Computer Vision Applications to be deployed in Vision Inspection. More specifically: Write OpenCV applications in C++ for dimensional and surface inspection. Train DL models for surface inspection in cases where traditional OpenCV / C++ is not viable. Additional Responsibilities: Developing and optimizing OpenCV applications for embedded devices (raspberry PI). Assist in developing DL models for the inhouse DL cloud platform. Educational Qualification B. E/ B. Tech in Any Specialization. Skills Python. C++. OpenCV. Linux. PyTorch/TensorFlow. Who can apply Are available for the full time employment with one year contract. Can start immediately. Have relevant skills and interests. Perks: Certificate. Letter of recommendation. Job offer. Group Health Insurance. Incentives and Bonus as per HR policy.

The missions of a senior functional expert are varied and hinge upon the strengthening of regulatory and accounting requirements related to the supervision and monitoring of risk models. In this context, you will be responsible for conducting internal model reviews (validation of the modeling, backtesting, etc.) that have been developed by the Groups modeling entities. Your main missions will be: - End to end responsibility of modeling validation missions, based on the planning and framework - Interact with the modeling entities - Analyze and test methods by using both technical knowledge and critical thinking. - Conduct quantitative reviews (statistics). - Be vigilant in the analysis of the regulatory compliance, robustness and performance of these models. - Contribute to the composition of a validation report in order to communicate the conclusions of the review mission. - Contribute and present the results of the review at the Models Committee - Ensure adequate documentation and archiving of the analyses carried out. -Mentoring Junior team members The functional expert works on many different topics such as: retail or wholesale credit risk (PD models, CCF models, LGD models, stress tests), market risk models (VaR/SVaR/FRTB, EEPE, CVA, SIMM, IRC/CRM...), models developed under the IFRS 9 framework, models developed to comply with US regulatory requirements. Profile required Ideal candidate should be well versed in credit risk model development, validation and maintenance of models (PD, LGD and EAD) for wholesale and retail credit portfolio of the bank as per regulatory guidelines. Exposure to banking book and understanding of trading book products and knowledge on BASEL/IFRS guidelines is highly desirable. Candidate should have excellent business communication skills. Educational Requirements: Post-graduation degree in quantitative discipline(Statistics, Economics, Mathematics engineering) from Tier I/II colleges. Additional certification in machine learning techniques or estimation of credit risk parameters will be preferred. Role Responsibility The ongoing monitoring of the model is a task that must be done in all phases of the model lifecycle (development, implementation, use). In order to track and measure the efficiency and adequacy of models, the model monitor conducts continuous analysis and controls as an early warning both initially at implementation (for new models) and regularly as a part of the models ongoing monitoring. For the purpose of these tests, the model monitor is responsible to: - Backtest re-calibrate each model designed and developed by the business, hence a thorough understanding of model development under Basel IFRS norms is critical. - Choose adequate model outcome analysis techniques such as: o Model estimates vs realized values (e.g. back-testing for some models); o Stability of model outcomes; o Benchmarking: model output vs output generated by comparable models or applications; o Sensitivity analysis to test robustness. - Analyze the model output and the related components (if applicable); - Model assumptions and limitations validity; - Results of benchmarking and sensitivity analysis; - Accuracy of models characteristics;(ROC/AUC, KS statistics, accuracy ratio, Gini coefficient etc) - Monitor over time in order to follow up trends and detect deviations; - Establish thresholds and action plan for major deviations; - Report this analysis to the different model stakeholders. - Implement a governance to monitor the corrective actions Furthermore, as part of the model ongoing monitoring phase, the model monitor should abide by the group standards on ongoing monitoring that establish guidelines on performance assessment processes including type, scope and range of tests and appropriateness of responses to any problems that may appear. Technical Skills: Regulatory risk model (IRB, IFRS9) model validation, monitoring, development (good to have) using SAS, R. Initiation to machine learning model validation. Functional Skills: Knowledge of Global regulatory Topics BASEL II/III IFRS 9 Understanding of risk management and risk quantification processes Understanding of forms of risk, viz. credit, market, operational, model etc. Behavioral Aspects: -Result Orientation -Client Focus -Contribution to Strategy -Cooperation -Team Player

SENIOR PHYSICAL DESIGN ENGINEER SmartSoC is looking for smart and enterprising Physical Designer Engineers to come to join us and get an opportunity to do some cutting-edge work and also work in a great environment where work is Always Fun and Exciting. This role will involve Physical design at the block and chip level of complex designs in the latest technologies. Desired Skills and Experience- 3 – 10 years relevant experience Excellent hands-on P&R skills with expert knowledge in ICC/Innovus Expert knowledge in all aspects of PD from Synthesis to GDSII, Strong background of Floor planning, Placement, CTS, Routing, P&R, Extraction, IR Drop Analysis, Timing and Signal Integrity closure Experience at taping out multiple chips, strong experience at top level at latest technology nodes Job Category VLSI (Silicon engineering) Job Location IndiaBangalore IndiaChennai IndiaHyderabad IndiaNoida Malaysia Singapore