363 Econometrics Jobs - Page 7

Generative AI Architect Skills We are seeking a dynamic and experienced Generative AI Architect to lead cutting-edge projects in the ML and GenAI space. The ideal candidate will play a pivotal role in business development, solution design, and application development, with a strong focus on leveraging Generative AI and LLM technologies. This position demands expertise in creating innovative solutions, hands-on technical skills, and the ability to guide and grow a talented : Act as a thought leader in the Generative AI space. Independently conceptualize and develop demos, POCs, and accelerators. Drive end-to-end business development activities in the ML & GenAI domain. Build and scale a team of data scientists and app developers. Be an individual contributor, solving real-world problems using LLMs and GenAI technologies. Develop and deploy applications with Python as the backend for UI-based solutions. Design, test, and deploy data analytics pipelines using Python and SQL on Azure/AWS/GCP platforms. Author high-level and low-level design documents (HLD/LLD) and technical specifications. Implement web technologies with hands-on experience in Python frameworks such as Flask, FastAPI, or Django. Utilize frontend technologies like HTML, JavaScript, and React to support application : Bachelor's Degree (preferred Computer Science/IT) in advanced analytics or ML, or Master's in Machine Learning, Statistics, Econometrics, or a related field with 6+ years of experience. Experience in designing and architecting ML-based solutions on Azure/AWS/GCP. Deep expertise in Generative AI, LLMs, and GPT technologies. Strong understanding of web architecture and development. Stay updated on industry trends, emerging technologies, and best practices in Gen AI & Data Science. Proficiency in Generative AI/LLM technologies. Hands-on experience with Python and SQL for backend development. Expertise in Python web frameworks like Flask, FastAPI, or Django. Familiarity with frontend technologies (HTML, JavaScript, React). Strong software development background with cloud experience on Azure/AWS platforms. Experience with version control systems such as Git. Exposure to DevOps culture with hands-on experience in Jenkins for CI/CD would be an added advantage. Knowledge on containerization utilizing Docker and Kubernetes will be added advantage. (ref:hirist.tech) Show more Show less

Job Description Job summary: Company Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, Company Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its Company and Chase brands. Information about Company Chase & Co. is available at Company website. Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services. CCB Risk Management partners with each CCB sub-line of business to identify, assess, prioritize, and remediate risk. We are currently seeking an Applied ML AI Executive Director as the Head of Credit Card Collections Risk Modeling team . In this critical role you will be managing a team of applied machine learning modelers in multiple working locations who are responsible for developing and maintaining best-in-class credit risk models catering to the collections and recovery functions within Chase Card Services. You will be responsible for identifying business opportunities for applying suitable machine learning algorithms to develop ML models that enhance the effectiveness of credit loss control. Your expertise and thought leadership in big data platforms (Hadoop/Cloud) and advanced ML techniques, such as deep learning, reinforcement learning and graph ML will substantially influence the direction of the next generation of risk models. In this highly visible role, the successful candidate will demonstrate analytic leadership through business acumen, collaboration, and effective communication skills with senior management. Success in this role requires a strong foundation in machine learning and artificial intelligence, along with deep understanding of credit risk management. The candidate should have a proven ability to manage end-end ML/AI solutions, especially deploy ML models harnessing vast amounts of data and computation into distributed systems. Job Responsibilities Collaborate with risk strategy teams and operations to understand business needs, data generating process, system capability, and potential model impact. Design machine learning solutions to address business needs, including explainable machine learning models and reinforcement learning models Manage multiple model development projects Collaborate with various partners in Marketing, Finance, Technology, Model Governance, Compliance, Risk, Legal, etc. throughout the entire modeling lifecycle. Manage model risk and related governance and controls Synthesize the findings at various points through the model development process to share actionable insights with senior leadership and other stakeholders Drive constant innovations to drive sustained improvement in collections and recovery capabilities of the firm Required Qualifications, Capabilities, And Skills Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields Minimal 10-year of experience in developing and managing ML or predictive risk models in financial institutions Hand-on experience in developing and deploying real-time transaction models with massive data from various sources, internally and externally Developed ML/AI models in big data platform (Hadoop and Cloud) and deployed them into real-time scoring engines, such as mainframe, cloud or distributed computing systems Experience in developing and deploying commercial applications for machine learning that are interpretable Experience in open source programming languages for large scale data analysis such as Python / Scala / Java / PySpark Experience with supervised and unsupervised machine learning algorithms such as XGBoost, CNN, RNN, SVM, Reinforcement Learning, Markov Process Minimal 3-year experience managing a sizable team of data scientists/ modelers/ machine learning engineers Experience in managing a team in a dynamic environment of high mobility Polished and clear communications with senior management Proven leadership in client/stakeholder/partner relationship management and high-performance team development ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes. Show more Show less

Job summary Company Chase Co. (NYSE JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, Company Chase Co. serves millions of consumers in the United States and many of the worlds most prominent corporate, institutional and government clients under its Company and Chase brands. Information about Company Chase Co. is available at Company website. Chase Consumer Community Banking (CCB) serves consumers and small businesses with a broad range of financial services. CCB Risk Management partners with each CCB sub-line of business to identify, assess, prioritize, and remediate risk. We are currently seeking an Applied ML AI Executive Director as the Head of Credit Card Collections Risk Modeling team . In this critical role you will be managing a team of applied machine learning modelers in multiple working locations who are responsible for developing and maintaining best-in-class credit risk models catering to the collections and recovery functions within Chase Card Services. You will be responsible for identifying business opportunities for applying suitable machine learning algorithms to develop ML models that enhance the effectiveness of credit loss control. Your expertise and thought leadership in big data platforms (Hadoop/Cloud) and advanced ML techniques, such as deep learning, reinforcement learning and graph ML will substantially influence the direction of the next generation of risk models. In this highly visible role, the successful candidate will demonstrate analytic leadership through business acumen, collaboration, and effective communication skills with senior management. Success in this role requires a strong foundation in machine learning and artificial intelligence, along with deep understanding of credit risk management. The candidate should have a proven ability to manage end-end ML/AI solutions, especially deploy ML models harnessing vast amounts of data and computation into distributed systems. Job responsibilities Collaborate with risk strategy teams and operations to understand business needs, data generating process, system capability, and potential model impact. Design machine learning solutions to address business needs, including explainable machine learning models and reinforcement learning models Manage multiple model development projects Collaborate with various partners in Marketing, Finance, Technology, Model Governance, Compliance, Risk, Legal, etc. throughout the entire modeling lifecycle. Manage model risk and related governance and controls Synthesize the findings at various points through the model development process to share actionable insights with senior leadership and other stakeholders Drive constant innovations to drive sustained improvement in collections and recovery capabilities of the firm Required qualifications, capabilities, and skills Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields Minimal 10-year of experience in developing and managing ML or predictive risk models in financial institutions Hand-on experience in developing and deploying real-time transaction models with massive data from various sources, internally and externally Developed ML/AI models in big data platform (Hadoop and Cloud) and deployed them into real-time scoring engines, such as mainframe, cloud or distributed computing systems Experience in developing and deploying commercial applications for machine learning that are interpretable Experience in open source programming languages for large scale data analysis such as Python / Scala / Java / PySpark Experience with supervised and unsupervised machine learning algorithms such as XGBoost, CNN, RNN, SVM, Reinforcement Learning, Markov Process Minimal 3-year experience managing a sizable team of data scientists/ modelers/ machine learning engineers Experience in managing a team in a dynamic environment of high mobility Polished and clear communications with senior management Proven leadership in client/stakeholder/partner relationship management and high-performance team development

Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft’s ecosystem including BizChat, Office and Windows. As a Principal Applied Scientist in the Turing team, you be pushing & delivering on multiple tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more. This will involve coordinating & aligning with internal & external data science, product & engineering teams across timezones. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities As a Principal Applied Scientist on our team, you'll be responsible for and will engage in: Driving projects from design through conception, implementation, experimentation and finally shipping to our users. This requires deep diving into data to identify gaps, coming up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setting up the engineering pipeline or infrastructure to run them. Documenting progress & processing, assisting & guiding junior team members, aligning & unblocking them with other stakeholders in timezones. Coming up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets. Hands on pre-training, fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration. This may also require understanding of training frameworks, formats, checkpoints, stacks such as megatron. This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. At least 3+ years of experience delivering team level outcomes. 2+ years of industrial experience coding in C++, C#, C, Java or Python. Prior experience with data analysis or understanding, looking at data from a large-scale systems to identify patterns or create evaluation datasets. Familiarity with common machine learning, deep learning frameworks and concepts, using use of LLMs, prompting. Ability to communicate technical details clearly across organizational boundaries. Preferred Qualifications 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. #MSAI #Turing #LLMs #Modeltraining Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

About Citi: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. Citi’s Mission and Value Proposition explains what we do and Citi Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities. Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this same diversity at all levels. Citi has made it a priority to foster a culture where the best people want to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop to are widely available to all. Job Description: Citi is looking for an energetic, motivated professional to join its Fraud Analytics team. As part of the Global Fraud Analytics team, this role is responsible for the fraud model development and validation supporting Citi’s North American Cards business. The Specialized Analytics Sr. Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence, and convince others, in particular colleagues in other areas. Responsibilities: Partner closely and manage interaction with Strategy partners and Model Risk Management validators across the model lifecycle including validation, ongoing performance evaluation, and annual reviews. Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation. Conduct rigorous validation assessment for fraud model validation; develop and implement validation methodologies to assess model accuracy, robustness, and effectiveness. Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation. Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools (e.g. Hive, SQL) to help predict, improve, and measure the success of key business to business outcomes Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization technique. Specialization in fraud or risk domain preferred Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 8+ years of hands-on analytical experience 5+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms Strong proficiency in statistical analysis and model validation techniques. A solid grasp of traditional and advanced modeling techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc. Expertise in model evaluation techniques such as ROC curves, precision-recall, KS, cross-validation, feature importance, SHAP values, etc. Familiarity with regulatory requirements and guidelines related to risk model validation. Strong communication and interpersonal skills; experience with Stakeholder management Strong project management and organizational skills; ability to multi-task and meet deadlines. Ability to work independently. Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issues. Ability to handle large volumes of transactional data. Familiarity with data extraction tools like Hive will be an advantage. Successful candidate will have a demonstrable analytical problem solving, and the ability to deliver projects in a fast-paced environment. Willing to learn and can-do attitude. Education: Master’s/Bachelor’s/PhD degree in Statistics, Economics, Finance, Mathematics or a related quantitative field; Engineering/MBA background from a premier institute ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

Job Description Background Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Show more Show less

Job Description Background Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming for extract transform load (ETL) operations and data analysis (including performance optimization) using languages such as, but not limited to, Python, Java, C++, SQL and R. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 3+ years of financial or non-financial risk industry experience. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Show more Show less

Designation: Current Affairs Faculty (Economics) The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have appeared/qualified in UGC NET in economics or have given any MA entrance exam and cleared it. 2. Proficiency in instructional design and delivery methods(content delivery). 3. Faculty who have appeared for the IES(Indian Economics Services) Exam will given preference. *Must have Access to digital smartboard* Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

Designation: Current Affairs - Economics Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have appeared/qualified in UGC NET in economics or have given any MA entrance exam and cleared it. 2. Proficiency in instructional design and delivery methods(content delivery). 3. Faculty who have appeared for the IES(Indian Economics Services) Exam will given preference. *Must have Access to digital smartboard* Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

Job Description Job summary: Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others. Join our Model Insights Team , a Center of Excellence within Consumer & Community Banking (CCB) Risk Modeling, committed to tracking of comprehensive health of machine learning models. We are responsible for sanity of model inputs and score performance tracking for CCB risk decision models. Team collaborates with model developers to identify and recommend potential opportunities for model calibration. We are constantly seeking for opportunities to enhance model performance tracking framework, with aim of providing feedback loop to risk strategies. We are seeking candidates who possess extensive knowledge of data science techniques, appreciation for data combined with of domain expertise, and a keen eye for detail and logic. It’s an opportunity to make an impact to model performance monitoring and governance practices for CCB risk models. Job Responsibilities Drive synergy in model performance tracking across different sub-lines of business. Enhance model performance framework to holistically capture model health, providing actionable insights to model users. Collaborate with model developers to identify potential opportunities for model calibration and conduct preliminary Root Cause Analysis in case of model performance decay. Design and build robust framework to monitor quality of model inputs. Explore opportunities to drive efficiency in model inputs and performance tracking through use of Large Language Model (LLM). Partner with teams across, Risk, Technology, Data Governance, and Control to support effective model performance management and insights. Deliver regular updates on model health to senior leadership of risk organization and the first line of defense. Required Qualifications, Capabilities, And Skills Advanced degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, Physics, or a related quantitative field. Minimum of 3 years of experience in developing and managing predictive risk models in financial industry. Proficiency in programming languages such as Python, PySpark, and SQL, along with familiarity with cloud services like AWS SageMaker and Amazon EMR. Deep understanding of advanced machine learning algorithms (e.g. Decision Trees, Random Forest, XGBoost, Neural Networks, Clustering etc) Strong conceptual understanding of performance metrics used to monitor health of machine learning models. Fundamental understanding of the consumer lending business and risk management practices. Experience of working with large datasets with strong ability to analyze, interpret, and derive insights from data. Advanced problem-solving and analytical skills, with a keen attention to detail. Excellent communication skills, with the ability to convey complex information clearly and effectively to senior management. Preferred Qualifications, Capabilities, And Skills Experience of data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). Proven expertise in designing, building, and deploying production-quality machine learning models. Ability to effectively collaborate with multiple stakeholders on projects of strategic importance, ensuring alignment and successful outcomes. Basic level of proficiency in Tableau ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes. Show more Show less

Lecturer in Economics Location: University of Southampton Delhi, Gurugram, India Type of Contract: Permanent, Full Time or Part-Time Start Date: ASAP Salary: Competitive Overview The University of Southampton, in partnership with Oxford International Education Group (OIEG), is launching its first international campus in India, located in Gurgaon, Delhi. This initiative is a response to India's New Education Policy and represents a significant investment in transnational education. The new campus aims to provide Indian students with the opportunity to earn a globally recognised degree without leaving the country. Job purpose The role holder’s contribution will be central to delivery and support of teaching, learning and assessment, across Economics for the University of Southampton Delhi. The role holder will teach at undergraduate and postgraduate level and engage in other necessary educational activities to ensure successful delivery of degree programmes. Once teaching activities are embedded and successful the role holder will undertake research and knowledge exchange in line with the campus’s research strategy. The role holder will undertake leadership, management and engagement activities and will demonstrate collegiality by ensuring ‘Southampton Behaviours’ are embedded within their ways or working. They will be committed to high-quality education and support of learning and to building a vibrant student experience and community. Visible and collegiate, the role holder will be expected to contribute to all aspects of the campus’s activities including student recruitment and outreach. Key accountabilities/primary responsibilities Support the teaching objectives of the Unit by managing a range of contributions to its learning and teaching activities. Deliver teaching of the highest quality across a range of modules and to all levels, through lectures, tutorials, practicals and seminars. Directly supervise students, providing expert advice on learning best practice and helping with development needs. Promote the use of appropriate media to support student learning. Set and mark coursework and exams, providing constructive feedback to students. Monitor, evaluate and revise course design to ensure excellence and coherence. Identify areas where current provision is in need of revision or improvement, planning and developing innovative contributions to learning, teaching and assessment methods within the Unit as appropriate. Develop the research activities of the Unit by sustaining a personal research plan. Manage the application of a range of research methodologies, approaches and techniques appropriate to the type of research personally being pursued. Establish a national reputation for research and the enhancement of learning and teaching practice by sustaining the regular dissemination of findings through leading peer-reviewed publications, presenting results at conferences, or exhibiting work at other appropriate events. Plan and develop innovative research proposals, projects and funding bids as self-contained items or as part of a broader programme. Carry out management and administrative tasks associated with specified research funding, including risk assessment of project activities, organisation of project meetings and documentation and preparation of annual reports. To oversee and implement procedures required to ensure accurate and timely formal reporting and financial control. Contribute to the efficient management and administration of the Unit by performing personal administrative duties as allocated by the Head and by taking on appropriate Unit coordination roles. Provide expert advice in own subject area to other staff and students. Any other duties as allocated by the line manager following consultation with the post holder. Internal and external relationships Member of the Unit Department Board, Examination Board and of such Unit committees relevant to their administrative duties. New appointees will be assigned a senior colleague to guide their development and aid their integration into the Unit and University. Research priorities will be agreed within the strategic framework of the research theme of which they are a member. Teaching and administrative duties will be allocated by the Head of Business, within the context of the teaching programmes agreed by the campus Learning and Teaching Committee. Faculty members and other UoS colleagues to support teaching and research activities including faculty members in the UK and Malaysia. The role holder will act as a member of relevant internal committees and groups. Relevant authorities, industries, alumni, and other stakeholders. Special Requirements To attend national and international conferences for the purpose of disseminating research results. The position involves local and international travels as and when required. PERSON SPECIFICATION Qualifications, knowledge and experience PhD or equivalent professional qualifications and experience in Economics, Econometrics, Mathematics, Statistics, Finance. Growing and consistent national reputation in Economics and/or Finance & Economics and/or Econometrics and/or Financial Econometrics and/or Statistics Teaching qualification Track record of development and delivery of teaching at undergraduate and postgraduate level. Demonstrated success in delivering learning outcomes. Track record of published research. Knowledge of Bloomberg terminals/Suite; Stata / R / Microsoft Suite (Desirable) Membership of Higher Education Academy. (Desirable) Experience of (more specific relevant processes/subject areas). (Desirable) Involvement in national events. (Desirable) Experience of teaching students where English is a secondary language (Desirable) Planning and organising Proven ability to plan and develop a range of high quality research and teaching activities, ensuring plans complement broader research and education strategy. Able to develop innovative research proposals and attract research funding. Proven ability to plan, manage, organise and assess own teaching contributions. Proven ability in the design of course units, curriculum development and new teaching approaches. Problem solving and initiative Able to identify broad trends to assess deep-rooted and complex issues. Able to apply originality in modifying existing approaches to solve problems. Management and teamwork Able to manage, motivate and coordinate research team, delegating effectively. Able to formulate staff development plans, if appropriate. Proven ability to manage and deliver own course units and team-taught course units. Proven ability to coach and support students/tutorial groups. Able to undertake coordinating role. Able to monitor and manage resources and budgets. Work effectively in a team, understanding the strengths and weaknesses of others to help teamwork development. Communicating and influencing Communicate new and complex information effectively, both verbally and in writing, engaging the interest and enthusiasm of the target audience. Track record of presenting research results at group meetings and conferences. Track record of delivering lectures and seminars in courses relating to different aspects of (subject area). Able to engage counselling skills and pastoral care, where appropriate. Able to persuade and influence at all levels in order to foster and maintain relationships, resolving tensions/ difficulties as they arise. Able to provide expert guidance to colleagues in own team, other work areas and institutions to develop understanding and resolve complex problems. (Desirable) Other skills and behaviours You will embrace the Southampton Behaviours relevant to your role and work to actively demonstrate these. You will act in a way that help maintain an environment that foster a culture of belonging, inclusion, diversity and equity. Understanding of relevant Health & Safety issues. Positive attitude to colleagues and students. Special requirements Able to attend national and international conferences to present research results. This job description is provided as a guide to the role. It is not intended to be an exhaustive description of duties and responsibilities and may be subject to periodic revision. Every applicant and employee has the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. Show more Show less

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We pride ourselves in making contributions to open source and making our platforms easier to use. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineers from your team and our customers’ teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers’ toughest challenges. We are hiring a Data Scientist with deep experience in data management and expertise in developing statistical techniques to analyze data and find patterns. As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world! Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Business Understanding and Impact Leads data-science projects or teams to align with business needs and deliver value. Data Preparation and Understanding Leads data acquisition and understanding efforts for engineering projects using various tools and techniques. Modeling and Statistical Analysis Develops and applies ML frameworks and best practices for scalable and ethical solutions. Evaluation Oversees review of data analysis and modeling techniques. Ensures selected modeling techniques are appropriate and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects). Industry and Research Knowledge/Opportunity Identification Provides feedback, drives improvement, and shares knowledge as a data science expert. Coding and Debugging Writes and debugs code for complex projects and leads solution development. Business Management Leads ML and data-science partnerships and IP improvement. Customer/Partner Orientation Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Preferred Qualifications; Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience working as part of geographically dispersed, diverse, and virtual teams Enjoy travel and are comfortable with travel up to 25% Demonstrated ability to work with customers and collaborate across company boundaries. 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world! At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done. We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you. #IPS #ISEngineering Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Analytics Consultant Location: Bangalore Reporting to: Senior Manager - Analytics 1.Purpose of the role Anheuser-Busch InBev (AB InBev)ʼs Marketing Analytics team is responsible for transforming the way we plan marketing efficiently to build brands for the future by informing media and sponsorship executions with data driven insights across consumer and category. 2.Key Tasks AND Accountabilities Conceptualize the analytical solution for the business problem by implementing problem solving approaches Build connects and lead discussions with Marketing Stakeholders in Colombia Build insights leveraging all the available data and analytics Storyboarding and presenting the insights to senior leadership Deliver end to end results reporting with Excel, Power BI Document every aspect of the project in standard way, for future purposes 3.Qualifications, Experience, Skills B Tech in any branch, Statistics, Applied Statistics, Economics, Econometrics, Operations Research or any other quantitative analysis Previous work experience 3-6 years in analytics consulting role, preferably in CPG domain ETL and Exploratory data analysis Experience working with complex data Well versed with concepts of Marketing Capable of building insightful visualizations in Excel and PowerPoint Technical Skills required Advanced Excel and PowerPoint SQL (at least one database) And above all of this, an undying love for beer! We dream big to create future with more cheers . Show more Show less

Job summary: Our Firmwide Risk Function is focused on cultivating a stronger, unified culture that embraces a sense of personal accountability for developing the highest corporate standards in governance and controls across the firm. Business priorities are built around the need to strengthen and guard the firm from the many risks we face, financial rigor, risk discipline, fostering a transparent culture and doing the right thing in every situation. We are equally focused on nurturing talent, respecting the diverse experiences that our team of Risk professionals bring and embracing an inclusive environment. Chase Consumer & Community Banking serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Types of risk that occur in consumer businesses include fraud, reputation, operational, credit, market and regulatory, among others. Join our Model Insights Team , a Center of Excellence within Consumer & Community Banking (CCB) Risk Modeling, committed to tracking of comprehensive health of machine learning models. We are responsible for sanity of model inputs and score performance tracking for CCB risk decision models. Team collaborates with model developers to identify and recommend potential opportunities for model calibration. We are constantly seeking for opportunities to enhance model performance tracking framework, with aim of providing feedback loop to risk strategies. We are seeking candidates who possess extensive knowledge of data science techniques, appreciation for data combined with of domain expertise, and a keen eye for detail and logic. It s an opportunity to make an impact to model performance monitoring and governance practices for CCB risk models. Job responsibilities: Drive synergy in model performance tracking across different sub-lines of business. Enhance model performance framework to holistically capture model health, providing actionable insights to model users. Collaborate with model developers to identify potential opportunities for model calibration and conduct preliminary Root Cause Analysis in case of model performance decay. Design and build robust framework to monitor quality of model inputs. Explore opportunities to drive efficiency in model inputs and performance tracking through use of Large Language Model (LLM). Partner with teams across, Risk, Technology, Data Governance, and Control to support effective model performance management and insights. Deliver regular updates on model health to senior leadership of risk organization and the first line of defense. Required qualifications, capabilities, and skills Advanced degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics, Physics, or a related quantitative field. Minimum of 3 years of experience in developing and managing predictive risk models in financial industry. Proficiency in programming languages such as Python, PySpark, and SQL, along with familiarity with cloud services like AWS SageMaker and Amazon EMR. Deep understanding of advanced machine learning algorithms (e.g. Decision Trees, Random Forest, XGBoost, Neural Networks, Clustering etc) Strong conceptual understanding of performance metrics used to monitor health of machine learning models. Fundamental understanding of the consumer lending business and risk management practices. Experience of working with large datasets with strong ability to analyze, interpret, and derive insights from data. Advanced problem-solving and analytical skills, with a keen attention to detail. Excellent communication skills, with the ability to convey complex information clearly and effectively to senior management. Preferred qualifications, capabilities, and skills Experience of data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). Proven expertise in designing, building, and deploying production-quality machine learning models. Ability to effectively collaborate with multiple stakeholders on projects of strategic importance, ensuring alignment and successful outcomes. Basic level of proficiency in Tableau

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents. FairMoney thrives on its diverse workforce, bringing together talent from over 27 nationalities. This multicultural team drives the company's mission of reshaping financial services for underserved communities.To gain deeper insights into FairMoney's pivotal role in reshaping Africa's financial landscape, we invite you to watch informative video. Job Summary: Your mission is to develop data science-driven algorithms and applications to improve decisions in business processes like risk and debt collection, offering the best-tailored credit services to as many clients as possible. Requirements Strong background in Mathematics / Statistics / Econometrics / Computer science or related field 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain Being best friends with Python and SQL Hands-on experience in handling large volumes of tabular data Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to a specific business problem Feeling confident working with key Machine learning algorithms (GBM, XG-Boost, Random Forest, Logistic regression) Being at home building and deploying models around credit risk, debt collection, fraud, and growth . Track record of designing, executing and interpreting A/B tests in business environment . Strong focus on business impact and experience driving it end-to-end using data science applications . Strong communication skills Being passionate about all things data. Our tool stack Programming language: Python Production: Python API deployed on Amazon EKS (Docker, Kubernetes, Flask) ML: Scikit-Learn, LightGBM, XGBoost, shap ETL: Python, Apache Airflow Cloud: AWS, GCP Database: MySQL DWH: BigQuery, Snowflake BI: Tableau, Metabase, dbt Streaming Applications: Flink, Kinesis Role and Responsibilities Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from company databases and external data sources to drive optimization and improvement of risk strategies, product development, marketing techniques, and other business decisions Assess the effectiveness and accuracy of new data sources and data gathering techniques Use predictive modelling to increase and optimize customer experiences, revenue generation, and other business outcomes Coordinate with different functional teams to make the best use of developed data science applications Develop processes and tools to monitor and analyze model performance and data quality Apply advanced statistical and data mining techniques in order to derive patterns from the data Own data science projects end-to-end and proactively drive improvements in both data Benefits Paid Time Off (25 days Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Training & Development budget Paid company business trips (not mandatory) Remote work Recruitment Process Screening call with Senior Recruiter Home Test assignment Technical interview Interview with the team and key stakeholders Show more Show less

India - Hyderabad JOB ID: R-214316 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Apr. 29, 2025 CATEGORY: Sales & Marketing Operations Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Director, Global Customer Capabilities What you will do Let’s do this. Let’s change the world. You will be accountable for coordinating our delivery efforts across the internal and external team located in AIN and across India. In addition, the Director must manage relationships across a complex internal set of teams and functional groups . This position reports to the Executive Director, Technology & Workforce Transformation and will be responsible for the following Responsibilities Key Integrator: Act as main point of contact and representative of the Tech and Workforce Transformation team in India Talent Development: Hire, train, develop, and manage talent to meet organizational needs Global Collaboration: Act as the primary point of contact for GCC senior leadership in the US and the offshore team in India, either through our Contract teams or direct AIN FTEs Optimization: Oversee analysis efforts to optimize workforce and resource allocation, driving efficiency across the business Operational Excellence and Delivery: Oversee end-to-end delivery of core sales & marketing operations projects ensuring quality, scalability, and operational efficiency Offshore Vendor Management: Manage offshore teams including CWs, maintaining quality of service and timely deliverables Innovation Leadership: Foster a culture of innovation, ensuring the India team remains at the forefront of emerging technologies and trends in automation and AI Continuous Improvement: Lead identifying and prioritizing areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. Automation : lead the piloting, planning, and implementation of automation across the GCC portfolio of capabilities Business Impact & Collaborator Management: Ensure capability solutions drive tangible business outcomes and collaborate with global key collaborators to refine requirements, measure impact, and report progress Financial management: Oversee GCC budget associated with offshore work in India, ensuring best negotiated rates and overall value What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 4 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Master’s degree and 14 to 16 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience OR Bachelor’s degree and 16 to 18 years of statistics, operations research, mathematics, econometrics, business administration or a quantitative field experience Preferred Qualifications: Relevant sales, marketing, operations, and Bio/Pharmaceutical industry experience Innovative customer capability leadership experience Minimum 5 years of professional experience in operational effectiveness with consistent record of automation development and capability efficiencies Comprehensive understanding of the components of setting up data models and running scenario planning that match the business need Thorough understanding of tagging, Google Analytics, CRM, Content Management Systems, and other components of a Digital Marketing Ecosystem. Leadership experience in building and developing dedication teams, delivering results, and shaping the future Ability to foster and encourage an environment of openness and transparency in seeking diverse opinions and empower risk-taking in idea generation, idea incubation and/or experimentation The ideal candidate will lead the creation of an automation and innovation forward culture that drives top-line growth, controls costs, and takes timely corrective action to reduce risks that derail plans Ability to think strategically about issues impacting an entire portfolio of therapeutics across geographies and stages of development Experience managing multiple senior key collaborators, prioritizing across a multitude of responsibilities and allocating resources to drive maximum impact Oral, written and presentation skills to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management Comfortable challenging the status quo and bringing forward innovative solutions Ability to identify areas for process and systems innovation and implement change that will enhance the overall effectiveness of the team Comfortable working through and leading large-scale global change management Understanding of technology platforms and ability to partner with IS/IT, cross functional business leaders What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

Job Description GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Responsibilities Build data-driven models to understand the characteristics of engineering systems Apply Gen AI, machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms and Gen-AI 3+ years of experience in at least one of the following languages: Python, R Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Show more Show less

Not an IT profile Jr. Research Analyst (Equity & Derivatives) This Job role is for research and strategy making in equity and derivatives market. Ahmedabad location Work from Office 6 days working (Monday to Saturday) Timing 9:00 AM to 7:00 PM Candidates from Ahmedabad ONLY. Require candidates with - CFA, CMT, CA, MBA(Finance) Job role: · Contributing to equity research on quantitative indicators/models that drive the construction of high frequency trading strategies · Developing trading strategies, from idea generation and data collection to analysis and model creation · Extract predictive signals from financial data through statistical analysis methods · Analyze a large amount of data and develop prediction algorithms/regression models · Formulate and apply mathematical modelling techniques to enhance existing trading strategies and perform innovative new research to identify and capture trading opportunities · Applying analytical and simulation techniques to analyses model performance · Processing, cleansing, and verifying the integrity of data used for analysis. Requirements: · A strong academic record with a preference in a quantitative discipline –mathematics, econometrics, statistics, or a related discipline. · A demonstrated capacity to do first-class research & experience in tackling in-depth research projects. · Strong computer skills and experience working with data. · Understanding in at least some of the following areas: time-series analysis, statistical estimation, scenario analysis, numerical optimization. · A curiosity for model development and experience handling large data sets. · Strong problem-solving and analytical skills. · The proactive ability to take the lead on assignments and deliver practical research results in a timely manner. · Creativity, solid analytical skills and attention to detail. · The ability to communicate complex ideas clearly. Job Type: Full-time Pay: ₹250,000.00 - ₹350,000.00 per year Schedule: Day shift

Let me tell you about the role The Manager, Geospatial Technology, will have expertise in technology, data, analytics, engineering and science solutions and projects in respect to location. They will lead a squad as part of the wider Geospatial team within Oil and Gas Technology gaining exposure to pioneering technologies and their real-world applications. They will interface closely with other Geospatial SMEs, Digital Product, and business partners to deploy and develop Geospatial technology, data & analytical solutions to meet business challenges across a wide range of domains including Production, Projects, Subsurface & Wells, Crisis, Renewables, and Refining. What you will deliver Team leadership and people management expectations: Provide direction to subordinates & other resources within the Geospatial Technology Team. Relevant experience in a Geospatial Technical Leadership role. Actively balance the workloads, priorities and important metrics of team members. Entitle team members to drive improvements to Geospatial products and solutions. Develops data expert capability within the team and identifies development opportunities Key technical capabilities and expectations: Develop innovative solutions and procedures and promote standard methodology to improve efficiency and quality within the geospatial team and across products. Geospatial Technology: experience in the use and deployment of geospatial technology including configuration and connectivity (eg. Cameras, Handhelds, AR/VR equipment, sensors, GPS, drone). Geospatial Data Management: use of spatial databases, spatial access methods, coordinate reference systems, representation of spatial objects, image processing, query processing, spatial data infrastructures, data manipulation, data security. Geospatial Analysis: Query operations and languages, earth geometry and geodesy, analytical operations, analysis of surfaces, spatial statistics, geo-statistics, spatial regression and econometrics, data mining, network analysis, optimization, and location allocation modeling. Spatial Data Visualization: including data considerations, principles of map design, graphic representation techniques, map production, development of web-based maps, applications, and dashboards. Reality capture: experience and knowledge of reality capture data formats, 3D models, QC workflows, loading techniques, and data integration for visualization and analysis. Ability to import, export and manipulate data between Geospatial systems and other applications, applying tools such as FME and Databricks. Expertise in one or more data-related technologies/languages (e.g. Python, R, Java Script, etc. Expertise in the ArcGIS Desktop and Enterprise suite of tools (ArcGIS Pro, Server, Portal and associated API’s). What you will need to be successful (experience and qualifications) Creating innovative solutions to improve process, workflow, standard methodology, and service delivery. Challenging conventional thinking, problem solving and innovating. Actively seeking to apply data science techniques; automation and machine learning, including the use of analytical and visualization tools to translate data and interpreted results into actionable insights and value. Citizenship: Engage in honest conversations and encourage team members to ask questions and actively listen to concerns; you are inclusive & collect diverse set of opinions and ideas, seeking out the silent voice; You use your own skills & experience to upskill others. Understand how your work with data impacts bp with respect to safety, financials, or other high value impacts. Identify continuous improvement opportunities to create safer operations, reduce cost, or other opportunities with data. Autonomy in problem identification and problem breakdown: end-to-end project ownership: Independently identify problems to be solved in your team / sub-area because of in-depth technical and business understanding; you can concretize vague, complex and broad problems and break them down into actionable sub-problems and tasks, help line up and concretize projects for more junior team members. Stakeholder Management: Proactively contact to partners to identify project needs and suggest solutions. Change Management: Recognize and efficiently build, communicate, and handle the business case for change – the costs and the benefits, building energy around the change. Use change as an opportunity to advance business objectives. Communication Skills: Communicate orally and in writing to a technical and non-technical audience. Business impact: Have business impact on one or multiple important metrics of your team, you are seen as a thought partner to the business! Qualifications: Experience – 12+ years in a similar role. Bachelors / Master’s degree, GIS, Geospatial, Geospatial Survey, Geographic Science, Computer Science, and other related fields, or related bachelor’s degree with some relevant experience. About bp bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform important job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Company Description Welcome to ISBF – where academic excellence meets global recognition! Elevate your education with a University of London Degree, shaped by the prestigious London School of Economics (LSE) curriculum. Role Description This is a full-time on-site role as an Econometrics Faculty Member at the Indian School of Business and Finance in Delhi, India. The role involves teaching Econometrics courses, conducting research, mentoring students, and participating in academic and institutional committees and activities. Eligibility Criteria ● Master’s Degree in Economics, Statistics from a reputed university ● At least 1 year of teaching experience in subjects like Mathematics, Statistics or Econometrics Desirable Qualifications ● Experience in teaching Advanced Econometrics and Statistics courses at the undergraduate or graduate level ● Well versed with concepts like Instrumental Variables, Panel Regression, Time Series Analysis, Maximum Likelihood Estimation techniques etc in order to cater to an International Curriculum. ● Proficiency in statistical software such as R, Stata, or SPSS ● Excellent communication, presentation skills and in depth knowledge of concepts to build a strong intuition for the students ● Ph.D. in Statistics, Economics, or a related field. Show more Show less

Designation: Econometrics Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. The subject knowledge in Econometrics , Statistical Economics, Quantitative economics, etc., and various competitive examinations. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have appeared/qualified in UGC NET in economics or have given any MA entrance exam and cleared it. 2. Proficiency in instructional design and delivery methods(content delivery). 3. Faculty who have appeared for the IES(Indian Economics Services) Exam will given preference. Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

Job Description Step into the role of Executive Director, Head of Business Intelligence & Offshore Analytics, and lead our offshore team in shaping the future of our Business Banking business. You'll be responsible for all aspects of our Business Intelligence and production reporting, managing analytics and data resources, and implementing BI/reporting, analytics, AI/ML, and data strategies. With your strong analytical skills and expertise in financial services, you'll tackle complex problems, develop innovative solutions, and make a significant impact on our business. As an Executive Director, Head of Business Intelligence & Offshore Analytics within our Business Banking team, you will be responsible for leading customer-centric development, inspiring innovative solutions, and shaping the future with your strategic vision. Your role will involve leading our offshore team and managing all aspects of our Business Intelligence and production reporting for Business Banking stakeholders. This position requires a blend of consultation and leadership in the development and implementation of BI/reporting, analytics, AI/ML, and data strategies throughout our Business Banking business. You will be tasked with solving complex problems that lack defined solutions, requiring your team to assess and understand the situation, then develop BI/reporting, analytics, AI/ML, and data solutions to proactively address it. Job Responsibilities Develop and support innovative BI/reporting, analytics, data strategies and AI/ML for Business Banking that will leverage new and existing data sources related to customers, products, accounts, transactions, channels. Manage all Business Intelligence and reoccurring reporting that supports Controls, Products, Marketing, Sales and CAO stakeholders Interface directly with senior executives in Product, Sales, Marketing, Controls, Finance, Strategy, and Data & Analytics teams across the organization Solve key business problems by leading the practical application of BI/data visualization, data sciences/analytics, and data design efforts Mentor, develop, and lead our Offshore team of talented advanced analytics, BI, and data professionals Understand client’s business challenges to efficiently structure practical solutions that create favorable business impact Develop AI/ML/LLM solutions to support use cases to support our BB clients and D&A needs Innovate with the customer and business impact in mind Partner with with multiple business partners, clients, and senior executives skillfully and communicate with them at their level of analytical/technical understanding Required Qualifications, Capabilities, And Skills BS Degree in a quantitative field and 10+ years of producing and overseeing advanced BI and analytics work to include people management and development Global and US Financial Services experience to effective manage Offshore resources to support and own end-to-end functions, and enhance team integration with key stakeholders Experienced in the practical use of customer/account data, channel usage, and client profitability for analytics, segmentation, management insights, loan and product pricing, and sales management to drive market share growth and profitability improvements Seasoned Analytics professional with broad knowledge of quantitative and analytical concepts, methods, tools, and technologies Proficiency in data analysis languages (i.e. Python, SAS, Java, R, JavaScript, C++, Scala) relational databases/tools (i.e. SQL, Teradata, Snowflake, Data Bricks), and BI/Reporting tools (i.e. Tableau, Alteryx, etc) Experience with Public and Private Cloud platforms such as AWS, Azure, etc. Robust technical experience in data extraction, transformation, and load (ETL) processing Hands-on experience in delivering BI/reporting, analytics and insights to multiple levels of management supporting Product, Strategy, Finance, and Sales Demonstrates well-rounded skills in a variety of areas including: time series analysis, learning algorithms, dimensionality reduction, experimental design, A/B and multivariate testing, and matched pairs analytics Skilled at creating impactful presentations in a consultative and influential manner at the executive level Strong controls mindset and experience Preferred Qualifications, Capabilities, And Skills MBA, Master's, or PhD in a quantitative field preferred: Statistics, Applied Mathematics, Computing and Information Theory, Econometrics, Biostatistics, Operations Research, or Industrial / Electrical Engineering Financial Service industry experience desired, but we are open to evaluating candidates with strong analytics backgrounds from other industries Strong knowledge of Consumer/Wealth/Investment/Small Business products and services, including deposits, lending, cash management, investments, credit cards and merchant services Strong Management experience, including teams that are located offshore ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Show more Show less

Skill required: Property & Casualty - Actuarial Science Designation: Actuarial Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Claims settlements related any client property they own or any accidentsAdvise insurance agencies on how to compile and analyzes statistics and use them to calculate insurance risks and premiums. What are we looking for? Ability to establish strong client relationship Ability to manage multiple stakeholders Ability to handle disputes Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

We’re reinventing the market research industry. Let’s reinvent it together. At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. Responsibilities: Questionnaire scripting using specialist tools (QMob, Tivian) Making recommendations to our commercial teams on the most appropriate survey structure through a strong understanding of best practice, testing surveys and checking for quality. Data extraction and validation. Preparing and tabulating questionnaire results ready for analysis by project consultants. Delivering codebooks and raw data files to the analysts to create reports at the end of fieldwork. Ensure scripting processes and methodologies are followed, updating these when necessary. What You'll Bring to Numerator University Degree (Bachelor’s or Master’s Degree) in Statistics, Mathematics, Econometrics or equivalent quantitative fields - although not mandatory any similar academic background will be appreciated. English professional proficiency - minimum B2 Level is required. Knowledge or previous experience in data manipulation is required. Be able to write, read, comprehend, reason, and perform basic mathematic calculations and data analysis. Knowledge or previous experience with MS Excel (e.g. Advanced Formulas; Pivot Tables; Macros) is recommended. Previous experience or familiarity with coding in HTML, SQL or C# is beneficial. Spanish language professional proficiency a bonus Thorough and detail orientated with strong quality control Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions. Is proactive, optimistic, and willing to get involved to achieve the team's goals and objectives. Is highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments. Self-motivated and able to manage your time effectively and communicate quickly when issues arise. Possesses outstanding communication and interpersonal skills in order to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner. Show more Show less