775 Econometrics Jobs - Page 18

Analyst - Macro Economics: Job description Economic Research: Conducting in-depth research and analysis of macroeconomic indicators, financial markets, industry trends, and relevant policy developments. This includes monitoring and interpreting economic data, such as GDP growth, inflation rates, interest rates, employment figures, and trade data Market Analysis: Assessing the impact of economic factors on financial markets, including stocks, bonds, currencies, commodities, and derivatives. Analyzing market trends, investor sentiment, and financial news to provide market commentary and forecasts Investment Strategy: Providing insights on market opportunities, risks, and potential returns to support investment decision-making Forecasting and Modelling: Developing economic models and forecasting tools to project future economic conditions, market trends, and investment returns. This can involve using statistical techniques, econometric models, and financial forecasting software Key Requirements for the Role: Must have: Knowledge and Experience with Indian and Global Economy Excellent written & spoken communication skills Good to have Data Analysis Quantitative skills such as Python Education: Bachelors or Masters degree ineconomics Prior work experience: 0-2 years

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

If you are wondering what makes TRIMEDX different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care and performance. Everyone is focused on serving the customer and we do that by collaborating and supporting each other Associates look forward to coming to work each day Every associate matters and makes a difference It is truly a culture like no other — We hope you will join our team! Find out more about our company and culture here. TRIMEDX is an industry-leading, independent clinical asset management company delivering comprehensive clinical engineering services, clinical asset informatics, and medical device cybersecurity solutions to many of the largest health systems in the US. We help healthcare providers transform their clinical assets into strategic tools, driving reductions in operational expenses, optimizing clinical asset capital purchasing decisions and usage, improving caregiver satisfaction and productivity, maximizing resources for patient care, and delivering improved patient safety & protection. TRIMEDX was built by providers, for providers, and leverages a history of expert clinical engineering with data on 90-95% of in-use medical equipment in the United States and an industry-leading data set of more than 6 million medical device records. A recent study by Fortune states that global healthcare asset management market is estimated to be $215B by 2032 with a CAGR of 25.3%. The United States is the largest single market for medical devices and accounts for about 40 percent of worldwide sales (BMI Research 2015). We are looking for the Chief Data Scientist who can accelerate our growth as a thought leader in Data Science, Research, and application of models to solve complex business problems. This person will lead the Company’s efforts to create a data science practice dedicated to harnessing this proprietary data set to support commercialization of novel new market solutions to enable providers to make informed decisions regarding their clinical asset investments and utilization. This role will be one of the most prominent voices in the global medical device industry. As the Chief Data Scientist, you will be responsible for leading TRIMEDX data and AI architecture and design to help our customers increase their clinical asset utilization and reduce cost to operate. You will design our enterprise-wide AI and Machine Learning initiatives. This new role will be instrumental in shaping and implementing our AI roadmap, driving innovation through advanced data modeling, and applying automation to optimize operations across diverse data ecosystems. It involves orchestrating Agentic AI across multiple SaaS infrastructures, including, but not limited to, Snowflake, Azure, ServiceNow, and Looker. In this role, you will work with senior executives and customers to arrive at solutions that significantly lift their business and accelerate the growth. Key Responsibilities You are a strategic leader that has defined enterprise AI/ML platforms with a strong focus on LLMs, generative AI, and predictive modeling. You will implement model-driven features from initial concept to production, covering all stages including model creation, evaluation, performance metrics, A/B testing, drift monitoring and self-correction with feedback loops. You will coach and train talented engineers in their career growth and set an example for data and AI organization. Your experience is building pricing models, forecasting, smart work assignment are preferred. You stay at the forefront of AI/ML research and emerging technologies; evaluate and integrate cutting-edge tools and frameworks. You will foster a culture of experimentation and continuous learning within the data science team. You will create high levels of engagement across teams in partnership with other key leaders within broader teams. Skills And Experience Minimum of 12 years of experience in computer science, data science, Statistics or related field. Experience preference in machine learning, data analytics or related disciplines with a focus on algorithmic product development. Deep expertise in statistics, econometrics, predictive analytics, and related disciplines. Working experience with modeling tools and languages such as Python, PyTorch, JAX, Tensorflow, SQL, and experience deploying production models on clouds platforms (AWS, Azure, GCP). Must have demonstrated experience leading data driven initiatives. Experience leading people is preferred. Demonstrated experience with multi-modal LLMs. Experience with A/B testing and cocreate MLOps practice for systemic application and maintenance of the models. Hands on experience deploying high impact, high Throughput, highly scalable, multi-modal ML models in Azure. Experience in data analysis using different types of datasets with statistics and predictive modeling foundations, including PC and foundation models. Experience creating patents and publications and / or speaking at top conferences such as CVPR (Computer Vision and Pattern Recognition Conference), IEEE (The Institute of Electrical and Electronics Engineers), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), NeurIPS. Successful and proven experience to collaborate and deliver results in a fast paced, multifaceted, matrix environment. Proven success at working with abstract ideas and solving complex problems while driving collaboration across various teams. Ability to be hands-on when necessary as well as strategic is required. Excellent public speaking and presentation skills; strong written and verbal communication skills. Ability to travel up to 50%. Education And Qualifications Bachelor’s degree in Statistics, Economics or related field is required, or equivalent experience. Master’s degree or Ph.D. in Statistics or Economics is highly preferred. At TRIMEDX, we support and protect a culture where diversity, equity and inclusion are the foundation. We know it is our uniqueness and experiences that make a difference, drive innovation and create shared success. We create an inclusive workplace by actively seeking diversity, creating inclusion and driving equity and engagement. We embrace people’s differences which include age, race, color, ethnicity, gender, gender identity, sexual orientation, national origin, education, genetics, veteran status, disability, religion, beliefs, opinions and life experiences. Visit our website to view our full Diversity, Equity and Inclusion statement, along with our social channels to see what our team is up to: Facebook , LinkedIn , Twitter . TRIMEDX is an Equal Opportunity Employer. Drug-Free Workplace. Because we are committed to providing a safe and productive work environment, TRIMEDX is a drug-free workplace. Accordingly, Associates are prohibited from engaging in the unlawful manufacture, sale, distribution, dispensation, possession, or use of any controlled substance or marijuana, or otherwise being under the influence thereof, on all TRIMEDX and Customer property or during working/on-call hours.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management - FSRM – Credit Risk – Senior Consultant Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand. Responsibilities Lead the CV and DS Team Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant). Your work will include formulation and development of a Machine Learning models to solve the underlying problem. You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo Statistical data modelling and machine learning research. Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes Conduct applied research to model complex dependencies, statistical inference and predictive modelling Technological conception, design and implementation of new features Quality assurance of the software through planning, creation and execution of tests Work with a cross-functional team to define, build, test, and deploy applications Requirements Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields. 3-4 years of experience with computer vision and data science. Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques). Experience building production-quality and well-engineered Computer Vision and Data Science products. Experience in image processing, algorithms and neural networks. Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform Solid Python engineering skills and experience with Python, Tensorflow, Docker Cooperative and independent work, analytical mindset, and willingness to take responsibility Fluency in English, both written and spoken. Skills:- Natural Language Processing (NLP), Computer Vision, TensorFlow, Docker, Forecasting, Predictive modelling, Image Processing, Algorithms and Machine Learning (ML)

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. 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 advanced Machine Learning Models. 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 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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 Citi’s EEO Policy Statement and the Know Your Rights poster.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. Job Description Verizon is a global leader in technology and communications, relentlessly innovating to transform how we connect and drive positive change through enhanced customer-centricity, collaboration, and innovation. We are building an organization focused on value creation by accelerating efficiencies, expanding our network superiority, and growing our customer base. The Verizon Global Services (VGS) organization is pivotal, centralizing key functions to strategically deliver services across all business groups and centers of excellence, ensuring seamless and efficient business processes through a holistic partner ecosystem. The Strategy and Transformation team within VGS plays a critical role in defining organizational strategy, enabling cross-functional transformation, and facilitating service delivery. We focus on optimizing end-to-end customer and employee experiences. We challenge the status quo, look beyond the horizon, and strive to make the future a reality. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here. What you’ll be doing As a key member of the VGS Strategy team, you will be instrumental in driving strategic initiatives that deliver significant business value, enhance efficiency, and foster operational and process excellence across VGS and Verizon. You'll lead the transformation approach to achieve VGS goals for 2025 and build the opportunity backlog for sustainable business value beyond 2026 through robust business planning. You'll be responsible for creating transparency by industrializing financial and portfolio processes within VGS, aiming for significant savings and identifying re-investment opportunities to create value across Verizon. This includes managing the end-to-end demand process, leading strategic and operational transformation initiatives, and developing detailed financial models to support strategic planning and investment decisions. Your role will also involve institutionalizing operational reviews, matrix management, and effective planning and governance processes to ensure the achievement of the VGS OKR dashboard. You will drive process excellence by creating a backlog of improvement opportunities, pursuing at least two in 2025, and leading re-engineering efforts with S&T process experts to elevate team impact and ensure seamless customer and employee experiences. You'll champion data-driven decision-making, ensuring analytics lead to continuous business improvements and more profitable growth. What we’re looking for We are seeking an inspiring and results-oriented Senior Manager with a strong background in business transformation, strategy execution, and data-driven decision making. You are adept at leveraging quantitative analysis to solve complex business challenges, capable of visualizing strategic objectives while meticulously breaking them down into actionable components. You believe that data underpins optimal decisions and excel at extracting key insights from datasets. Your ability to communicate complex analytical findings in a clear, concise, and practical manner will be crucial for influencing senior leadership and fostering a culture of data-driven improvements. You are a proactive leader who anticipates risks, builds strong relationships, and motivates cross-functional teams to achieve ambitious goals. Where you'll be working… In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. You’ll Need To Have Bachelor's degree or six or more years of experience. Six or more years of relevant experience, demonstrated through a combination of work and specialized training, with a strong focus on business transformation, strategy, and operational improvement. Bachelor’s degree in Math, Statistics, Physics, Engineering, Computer Science, Econometrics or Science Graduate with Maths or Statistics specialization and a Post Graduate Diploma or Master's degree in Business Administration. Extensive experience with quantitative modeling, statistics, or data mining. Proven experience in market research and analysis. Proficiency with visualization software such as Qlikview, Tableau, or Excel. Excellent presentation and articulation skills, demonstrating strong analytical and critical thinking abilities. Demonstrated ability to influence stakeholders and achieve desired results through compelling, data-backed narratives and factual presentations. Ability to translate complex ideas and express them in concise, easily understandable ways for diverse audiences. Proven experience in managing large cross-functional projects, including strategy development, initiative planning, work plan creation, timeline management, and goal setting to ensure stakeholder and VGS commitments are met. Even better if you have one or more of the following: Master's degree or PhD in Operations Research, Industrial Engineering, Statistics, Economics, or a related field. Broad financial acumen, including knowledge of valuation methodologies and the ability to develop sophisticated financial models. Strong analytical and creative problem-solving skills, combined with hands-on experience in SQL, scripting/statistical programming languages (Python, R, etc.), and advanced visualization software tools. Understanding of advanced statistical methods, machine learning principles, and cloud architecture. Intellectual curiosity and a passion for technology-backed, transformative industries. Experience handling confidential information in accordance with industry standards. Experience in designing and leading proof-of-concept and/or pilot engagements with technology and business partners. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 0 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. Job Description Verizon is a global leader in technology and communications, relentlessly innovating to transform how we connect and drive positive change through enhanced customer-centricity, collaboration, and innovation. We are building an organization focused on value creation by accelerating efficiencies, expanding our network superiority, and growing our customer base. The Verizon Global Services (VGS) organization is pivotal, centralizing key functions to strategically deliver services across all business groups and centers of excellence, ensuring seamless and efficient business processes through a holistic partner ecosystem. The Strategy and Transformation team within VGS plays a critical role in defining organizational strategy, enabling cross-functional transformation, and facilitating service delivery. We focus on optimizing end-to-end customer and employee experiences. We challenge the status quo, look beyond the horizon, and strive to make the future a reality. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here. What you’ll be doing As a key member of the VGS Strategy team, you will be instrumental in driving strategic initiatives that deliver significant business value, enhance efficiency, and foster operational and process excellence across VGS and Verizon. You'll lead the transformation approach to achieve VGS goals for 2025 and build the opportunity backlog for sustainable business value beyond 2026 through robust business planning. You'll be responsible for creating transparency by industrializing financial and portfolio processes within VGS, aiming for significant savings and identifying re-investment opportunities to create value across Verizon. This includes managing the end-to-end demand process, leading strategic and operational transformation initiatives, and developing detailed financial models to support strategic planning and investment decisions. Your role will also involve institutionalizing operational reviews, matrix management, and effective planning and governance processes to ensure the achievement of the VGS OKR dashboard. You will drive process excellence by creating a backlog of improvement opportunities, pursuing at least two in 2025, and leading re-engineering efforts with S&T process experts to elevate team impact and ensure seamless customer and employee experiences. You'll champion data-driven decision-making, ensuring analytics lead to continuous business improvements and more profitable growth. What we’re looking for We are seeking an inspiring and results-oriented Senior Manager with a strong background in business transformation, strategy execution, and data-driven decision making. You are adept at leveraging quantitative analysis to solve complex business challenges, capable of visualizing strategic objectives while meticulously breaking them down into actionable components. You believe that data underpins optimal decisions and excel at extracting key insights from datasets. Your ability to communicate complex analytical findings in a clear, concise, and practical manner will be crucial for influencing senior leadership and fostering a culture of data-driven improvements. You are a proactive leader who anticipates risks, builds strong relationships, and motivates cross-functional teams to achieve ambitious goals. Where you'll be working… In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. You’ll need to have: Bachelor's degree or six or more years of experience. Six or more years of relevant experience, demonstrated through a combination of work and specialized training, with a strong focus on business transformation, strategy, and operational improvement. Bachelor’s degree in Math, Statistics, Physics, Engineering, Computer Science, Econometrics or Science Graduate with Maths or Statistics specialization and a Post Graduate Diploma or Master's degree in Business Administration. Extensive experience with quantitative modeling, statistics, or data mining. Proven experience in market research and analysis. Proficiency with visualization software such as Qlikview, Tableau, or Excel. Excellent presentation and articulation skills, demonstrating strong analytical and critical thinking abilities. Demonstrated ability to influence stakeholders and achieve desired results through compelling, data-backed narratives and factual presentations. Ability to translate complex ideas and express them in concise, easily understandable ways for diverse audiences. Proven experience in managing large cross-functional projects, including strategy development, initiative planning, work plan creation, timeline management, and goal setting to ensure stakeholder and VGS commitments are met. Even better if you have one or more of the following: Master's degree or PhD in Operations Research, Industrial Engineering, Statistics, Economics, or a related field. Broad financial acumen, including knowledge of valuation methodologies and the ability to develop sophisticated financial models. Strong analytical and creative problem-solving skills, combined with hands-on experience in SQL, scripting/statistical programming languages (Python, R, etc.), and advanced visualization software tools. Understanding of advanced statistical methods, machine learning principles, and cloud architecture. Intellectual curiosity and a passion for technology-backed, transformative industries. Experience handling confidential information in accordance with industry standards. Experience in designing and leading proof-of-concept and/or pilot engagements with technology and business partners. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 0 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Job requisition ID :: 84783 Date: Jun 19, 2025 Location: Delhi Designation: Deputy Manager Entity: Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team At Deloitte, we recognise the investment you have made in developing your skills and knowledge through your chosen programme of study in Economics and/or Econometrics, or a closely related discipline. We are looking for sharp minds to join our Economic Advisory (EA) team. The EA team has a cross-sectoral intrafirm growth strategy in several geographies, and due to continued growth across sectors, an opportunity has arisen for experienced professionals to join and support our rapidly growing team of economists. EA works at the forefront of issues that are defining the future of sectors across Telecommunications, Media and Technology (TMT), Financial Services, Energy and Infrastructure, and Public Policy, and is part of Deloitte's Global Economic Consulting network. The work is varied and delivers real value through the following areas: economics of strategy and policy; impact assessment and appraisal; economic regulation; cost and revenue modelling; pricing and incentives; and competition and disputes. Our technical skills in these areas are combined with Deloitte's depth of financial, strategic and industry understanding to create a potent, and unique, package that can be applied across the spectrum of industry. You will work as an extension of our Deloitte Member firms’ practices. Working on international assignments involving cross-border and cross-service line teams will allow you to build your networks across the vast Global Deloitte network and develop understanding of the global standards. We also have an active international secondment program for our analysts after they gain relevant experience as we believe this plays a crucial role in their overall career and personal development. Your work profile As a Deputy Manager in our CFA Economic Advisory team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations The successful candidates will work closely with Deloitte Member firms, in particular, Deloitte practices within the UK, Europe, and Middle East, supporting and managing assignments involving a range of economic and policy issues for private and public sector clients. The work will involve a mix of qualitative and quantitative analysis with established economic principles and methodologies. The successful candidate will have: Proven experience working as a professional economist/statistician/mathematician, or in a closely related discipline – this could have been gained within government, a regulator, industry and/or consultancy. Prior experience in econometric, statistical and other quantitative analysis using MS Excel, R, Python, Stata and / or other proprietary software Experience of applying economic theory to development and evaluation of public policy using one or more of the following: Economic impact assessment Computable General Equilibrium modelling Cost benefit analysis Regulation and competition Financial analysis Desired qualifications Relevant qualifications and/or post graduate qualifications in Economics / Econometrics / Statistics Skills Required In order to be considered for this role, your competencies will cover the broad scope of Economic Advisory services, leveraging your professional background and skills such as: Excellent verbal and written communication skills Experience in designing, building, testing and validating models using a large number of statistical and other quantitative techniques The desire to apply analytic and economic skills to real life problems Work in a challenging environment with like-minded people globally Good report writing and presentation skills Location and way of working Base location: Mumbai/Delhi This profile does not involve extensive travel for work. Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs. Your role as an Deputy Manager We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Deputy Manager across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.

Job requisition ID :: 84782 Date: Jun 20, 2025 Location: Delhi Designation: Assistant Manager Entity: Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team At Deloitte, we recognise the investment you have made in developing your skills and knowledge through your chosen programme of study in Economics and/or Econometrics, or a closely related discipline. We are looking for sharp minds to join our Economic Advisory (EA) team. The EA team has a cross-sectoral intrafirm growth strategy in several geographies, and due to continued growth across sectors, an opportunity has arisen for experienced professionals to join and support our rapidly growing team of economists. EA works at the forefront of issues that are defining the future of sectors across Telecommunications, Media and Technology (TMT), Financial Services, Energy and Infrastructure, and Public Policy, and is part of Deloitte's Global Economic Consulting network. The work is varied and delivers real value through the following areas: economics of strategy and policy; impact assessment and appraisal; economic regulation; cost and revenue modelling; pricing and incentives; and competition and disputes. Our technical skills in these areas are combined with Deloitte's depth of financial, strategic and industry understanding to create a potent, and unique, package that can be applied across the spectrum of industry. You will work as an extension of our Deloitte Member firms’ practices. Working on international assignments involving cross-border and cross-service line teams will allow you to build your networks across the vast Global Deloitte network and develop understanding of the global standards. We also have an active international secondment program for our analysts after they gain relevant experience as we believe this plays a crucial role in their overall career and personal development. Your work profile As a Assistant Manager in our CFA Economic Advisory team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations The successful candidates will work closely with Deloitte Member firms, in particular, Deloitte practices within the UK, Europe, and Middle East, supporting and managing assignments involving a range of economic and policy issues for private and public sector clients. The work will involve a mix of qualitative and quantitative analysis with established economic principles and methodologies. The successful candidate will have: Proven experience working as a professional economist/statistician/mathematician, or in a closely related discipline – this could have been gained within government, a regulator, industry and/or consultancy. Prior experience in econometric, statistical and other quantitative analysis using MS Excel, R, Python, Stata and / or other proprietary software Experience of applying economic theory to development and evaluation of public policy using one or more of the following: Economic impact assessment Computable General Equilibrium modelling Cost benefit analysis Regulation and competition Financial analysis Desired qualifications Relevant qualifications and/or post graduate qualifications in Economics / Econometrics / Statistics Skills Required In order to be considered for this role, your competencies will cover the broad scope of Economic Advisory services, leveraging your professional background and skills such as: Excellent verbal and written communication skills Experience in designing, building, testing and validating models using a large number of statistical and other quantitative techniques The desire to apply analytic and economic skills to real life problems Work in a challenging environment with like-minded people globally Good report writing and presentation skills Location and way of working Base location: Mumbai/Delhi This profile does not involve extensive travel for work. Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs. Your role as an Assistant Manager We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Assistant Manager across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Assistant Manager/Manager/Sr. Manager, Model Validation In this role, you will be responsible for model development, implementation & documentation Responsibilities You will be working with the independent model validation function of a large banking client and will involve end-to-end validation of risk and regulatory models across business functions, and development of challenger models as necessary. Your activities will include, but will not be limited to the following: Independent model validation, especially comprehensive model validation within 2nd line of defense, using SR 11-7 or similar guidelines Exhaustive model validation will include conceptual assessment of model’s use, methodology, assumptions, limitations and on-going monitoring and control, model’s outcome analysis Development of benchmark models may be required. Assessment of the model monitoring and implementation process. Assessment of the model calibration techniques Prepare model validation report summarizing findings and provide recommendations Qualifications we seek in you! Minimum Qualifications / Skills Post-graduate degree / diploma in any of Statistics, Mathematics, Economics / Econometrics, Physics from reputed institutes with courses in Financial Engineering or FRM / CQF Level 1 Undergraduate degree in Engineering from reputed institutes with courses in Financial Engineering or FRM / CQF Level 1 Relevant experience in Banking or Capital Markets, with experience in market risk model validation. Good understanding and experience in at least one of the regulatory risk modeling / validation guidelines – SR 11-7, FRTB, Stress Testing, Basel III IMA, CAR: Chapter 9,etc. Exposure to any treasury system such as Murex, Calypso etc. or market data providers such as Bloomberg and Reuters. Knowledge of VaR, Expected Shortfall or Counterparty Credit Risk modelling. Knowledge of product valuation in any of Fixed Income or Derivatives Knowledge of stochastic models such as Black Scholes, Hull & White, SABR etc) will be added advantage. Working knowledge of Excel, Python/R in this field. Good communication/presentation skills – written & verbal Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision Preferred Qualifications/ Skills Strong networking, negotiation and influencing skills Some understanding and experience in at least one of the regulatory risk modeling/validation guidelines – SR 11-7, FRTB etc Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Manager Primary Location India-Kolkata Schedule Full-time Education Level Master's / Equivalent Job Posting Jun 20, 2025, 2:24:10 AM Unposting Date Ongoing Master Skills List Operations Job Category Full Time

Position Summary We are seeking a highly motivated and analytical Quant Analyst to join Futures First. The role involves supporting development and execution of quantitative strategies across financial markets. Job Profile Statistical Arbitrage & Strategy Development Design and implement pairs, mean-reversion, and relative value strategies in fixed income (govvies, corporate bonds, IRS). Apply cointegration tests (Engle-Granger, Johansen), Kalman filters, and machine learning techniques for signal generation. Optimize execution using transaction cost analysis (TCA). Correlation & Volatility Analysis Model dynamic correlations between bonds, rates, and macro variables using PCA, copulas, and rolling regressions. Forecast yield curve volatility using GARCH, stochastic volatility models, and implied-vol surfaces for swaptions. Identify regime shifts (e.g., monetary policy impacts) and adjust strategies accordingly. Seasonality & Pattern Recognition Analyse calendar effects (quarter-end rebalancing, liquidity patterns) in sovereign bond futures and repo markets. Develop time-series models (SARIMA, Fourier transforms) to detect cyclical trends. Back testing & Automation Build Python-based back testing frameworks (Backtrader, Qlib) to validate strategies. Automate Excel-based reporting (VBA, xlwings) for P&L attribution and risk dashboards. Integrate Bloomberg/Refinitiv APIs for real-time data feeds. Requirements Education Qualifications B.Tech Work Experience 0-3 years Skill Set Must have: Strong grasp of probability theory, stochastic calculus (Ito’s Lemma, SDEs), and time-series econometrics (ARIMA, VAR, GARCH). Must have: Expertise in linear algebra (PCA, eigenvalue decomposition), numerical methods (Monte Carlo, PDE solvers), and optimization techniques. Preferred: Knowledge of Bayesian statistics, Markov Chain Monte Carlo (MCMC), and machine learning (supervised/unsupervised learning) Libraries: NumPy, Pandas, statsmodels, scikit-learn, arch (GARCH models). Back testing: Backtrader, Zipline, or custom event-driven frameworks. Data handling: SQL, Dask (for large datasets). Power Query, pivot tables, Bloomberg Excel functions (BDP, BDH). VBA scripting for various tools and automation. Experience with C++/Java (low-latency systems), QuantLib (fixed income pricing), or R (statistical l). Yield curve modelling (Nelson-Siegel, Svensson), duration/convexity, OIS pricing. Credit spreads, CDS pricing, and bond-CDS basis arbitrage. Familiarity with VaR, CVaR, stress testing, and liquidity risk metrics. Understanding of CCIL, NDS-OM (Indian market infrastructure). Ability to translate intuition and patterns into quant models. Strong problem-solving and communication skills (must explain complex models to non-quants). Comfortable working in a fast-paced work environment. Location: Gurugram, Work hours will be aligned to APAC Markets.

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

American Express Global Commercial Services (GCS) is the Global leader in the Corporate Payments Solutions space and continues to be an exciting and fast-growing business. To maintain success, accelerating sales and driving profitable growth are critical to the organization. The Sales Enablement, Pricing and Transformation (SPT) team is critical in supporting these objectives. Our Incentive Capabilities team is focused on powering GCS growth through the provision of new products which will enable new pricing constructs, enhance client incentive user journey, enhanced visibility & insights to support Sales and Account Development colleagues across the globe. This position is fast-paced, critical decision oriented and requires a candidate who thrives on working in an energetic, client facing environment, excelling at building business partner relationships. Key Responsibilities: Generate specific corporate client reporting to support decision making and performance tracking. Translate needs of business owners/stakeholders and deliver on the Product roadmap. Responsible for automating reporting needs to improve efficiency, accuracy for stakeholders. Collaborate with cross-functional partners across various teams within American Express and capture requirements, benefits and drive a common future vision. Drive creation of end-to-end customer centric standard reporting that efficiently supports key partners and customers. Create innovative solutions that are cost-efficient and scalable across the enterprise. Work in close partnership with GSM, Controllership and Technology to deploy next generation client incentive capabilities, designed for long-term adaptability. Run ad-hoc analytics in support of the capability development and metric creation. Required Qualifications: Deep and broad expertise in data analysis, process automation with good understanding of client incentive process and systems Ability to build positive relationships, operate effectively within large cross-functional teams, and influence business partners to drive transformational change Ability to communicate and interact effectively with internal and external stakeholders at all levels Demonstrated ability to think outside the box and design industry leading solutions Understanding of Scaled Agile (SAFe) principles and experience effectively managing a backlog of competing initiatives desirable Experience on working with Cornerstone Data, SAS/SQL, Hive preferred Advanced degree in mathematics, statistics, engineering, computer science, econometrics, or another related field of study preferred. Preferred Qualifications MBA, Agile certification will be a plus We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Company Description: As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients most valued asset-management partner. With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether youre producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to clients, we re looking for unique voices to help lead us forward. If you re ready to challenge your limits and build your future, join us. Describe the role: Day to day responsibilities will include: Conduct asset allocation and manager evaluation research and creating bespoke client portfolios Undertake bespoke requests for data analysis; Build dashboards for data visualization (Python Dash) Handle data collation, cleansing and analysis (SQL, Python) Create new databases using data from different sources, and set up infrastructure for their maintenance; Clean and manipulate data, build models and produce automated reports using Python; Use statistical modelling and Machine Learning to address quantitative problems (Python) Conduct and deliver top notch research projects with quantitative applications to fundamental strategies. Preferred Skill Sets: 2+ years of experience of RDBMS database design, preferably on MS SQL Server 2+ years of Python development experience. Advanced skills with programming using any of Python libraries (pandas, numpy, statsmodels, dash, pypfopt, cvxpy, keras, scikit-learn) - Must haves (pandas/numpy/statsmodels) Candidate should be capable of manipulating large quantities of data High level of attention to detail and accuracy Working experience on building quantitative models; experience with factor research, portfolio construction, systematic models Academic qualification in Mathematics / Physics / Statistics / Econometrics / Engineering or related field Understanding of company financial statements, accounting and risk analysis would be an added advantage Strong (English) communication skills with proven ability to interact with global clients Pune, India

Sr. Business Analyst About Junglee Games With over 140 million users , Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 900 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview As a Business Analyst - Strategy , you will work at the intersection of corporate, customer, M&A, workforce, and operational strategy. You will work alongside Junglees leadership team to help them make decisions and implement enhancements to Junglee s organizations strategy, productivity, performance, and long-term profitability. You will have the opportunity to exercise strong analytical skills, solve complex business problems, and communicate your findings to executive audiences. You will work both independently and collaboratively with a team to analyze and distill information to hypothesize, test, and develop recommendations. Job Location Gurgaon Key Responsibilities Use primary and secondary research (i.e. consumer research, desk research, expert calls) to support the development and go-to-market for Junglee s near- and long-term strategy Synthesize data and research findings into insightful recommendations for the business, operations and leadership teams Take ownership of a wide range of data and analytical concepts and methodologies, including: Market sizing Competitive analysis Customer needs analysis / primary research Portfolio review (e.g. where to invest, where to divest) Forecasting / econometrics Serve as an internal research resource for the leadership team, handling ad-hoc requests for quick analyses and Excel models Own and report company-wide KPIs across the business functions Work cross-functionally across the organization, partnering with product, marketing, business insights and other teams on a variety of growth-focused projects Partner with the leadership and executive team to develop Junglee thought leadership. Qualifications & Skills Required 1+ years of experience in an analytical and strategic role that requires synthesizing research and analysis into recommendations; candidates with experience in strategy and/or business operations at fast growing Series A/B companies are encouraged to apply Experience building business models and analyzing data in Excel/Google Sheets. (proficiency in SQL is also preferred) A strong writer and presenter who s equally at home writing a brief or creating a slide deck. You have a knack for finding creative or unusual research/data sources to solve a problem or answer a question, as you won t have many internal research databases/dashboards at your disposal You re intellectually curious and incredibly detail-oriented, with a penchant for over delivering on tight deadlines You can balance speed with thoroughness to get to high fidelity analysis quickly You thrive with the ambiguity and responsibility required in high growth startups` Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress, and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far? Be A Junglee .

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Advisory Services Financial Services Office – Financial Services Risk Management - FSRM – Credit Risk – Senior Consultant Description EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications And Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel Good-to-have: Certifications such as FRM, CFA, PRM, SCR Proficiency in Java/C++ Experience in Data/Business Intelligence (BI) Reporting Good to have knowledge in Machine Learning models and its applications. Willingness to travel to meet client needs Previous project management experience EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

· Bachelor’s degree (BBA, BCA, BE, B-Tech) SQL experience required/ P&C Insurance exp required. · MBA, Economics/Econometrics MA, MBE (DU), & Similar Masters desirable · Insurance Qualifications, viz. FII, CPCU, CII, ARM - highly preferred · Responsible for collecting all in- scope Business requirements in an insurance process · Elicit, analyze, specify, validate, and verify the logic breakdown for "To Be" State of Business Solution · Ability to perform detailed analysis of existing systems/processes to ensure all aspects of the Business Solution requirements are understood & mapped · Able to prioritize requirements and negotiate on MVP on behalf of the technical team · Capable of managing all non- technical aspects of the new requirements · Able to map and formalize business requirements, ready for two-way communication between Business and technical channels to normalize a Workable solution " · Experience in capturing details and documenting PRD, BRD, FSD details for creating the Solution Story overview · Capable of working with the Business overview to create User Stories and testing scenarios · Able to create a data mapping document between source and target systems · Experience in Systems Gap Analysis & Wireframing of Solution experience

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? 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 Description Job Title: Analytical Consultant Location: Bangalore Reporting to: Senior Manager Purpose of the role Anheuser-Busch InBev (AB InBev)ʼs Markerting 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. Key tasks & 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 Qualifications, Experience, Skills Level Of Educational Attainment Required 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 (atleast one database) And above all of this, an undying love for beer! We dream big to create future with more cheers

The FICC Quant Developer should possess a robust understanding of Fixed Income, particularly in pricing calculations. The ideal candidate should be proficient in Python or other relevant programming languages and have experience in developing fixed income pricing models or calculations engines. Key Responsibilities Developing Fixed Income pricing/valuation and analytics models using statistical techniques Interacting with the trading and client senior technology team to analyze and understand their requirements Back testing models Working on implementing models on client calculation platforms; understanding of data quality nuances and ability to design rules around it Handle ad hoc requests for data analysis or building peripheral models. Experience Postgraduate in Economics/Financial Engineering/Maths/Physics, at least 8+ years of work exp. Proficient in econometrics, with prior experience in quantitative modeling specifically in Fixed Income Good understanding of Fixed income as an asset class, pricing and valuation and other analytics Coding skills: Python/C#/C++ etc. (advanced level) Having a good knowledge of databases preferably third-party providers like Bloomberg Advanced Excel/VBA and quantitative skills: Ability to work with and analyse large set of data and information. Excellent communication and interpersonal skills High level of independent thinking and approach Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

About the Role: Wells Fargo is seeking a Lead Risk analytics consultant. The Consumer Credit team is responsible for leading, developing and implementing strategic initiatives and processes to drive the company credit culture, appetite, and business performance. The team is seeking a talented and experienced Lead Risk Consultant to be part of the Auto Lending Credit Risk team. The candidate would be part of the Auto Lending Analytics team and would provide analytical support across a wide array of process or life cycle including but not limited to originations, collections, payments, deferrals, delinquency and related operational processes. Primary role is to apply strong business knowledge and advanced analytical skills to solve business questions, think out-side-of-the-box and develop innovative yet practical risk management solutions. An individual who is results driven, goal oriented, and enjoys a fast-paced working environment will find this opportunity both challenging and exciting. In this role, you will: Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals Lead projects, teams, and mentor Required Qualifications: 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences 5+ years of progressive experience in credit and risk analytic roles Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management Detailed understanding of risk domain; Strong Risk analytics skills and understanding of P&L and risk drivers. Expertise in few programming and statistical packages - SAS, SQL, Excel, VBA, Macros, R, Python, E-miner, Tableau, SAS VA Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques Ability to lead project teams and coordinate with multiple stakeholders. Strong understanding and willingness to work hands on, using exploratory techniques which can sometimes involve advanced statistics. Excellent communication skills for interaction/coordination/project and skill prioritization with heads of functions Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution Advanced degree in statistics/finance /engineering/economics/other quantitative disciplines Knowledge and understanding of (consumer and small business loan) credit card lending practices, policies, procedures, and key drivers impacting credit offerings, including credit risks and regulatory requirements Strong analytical skills with ability to turn findings into executable plans to meet business objectives Ability to contribute to strategic decisions and coordinate with multiple stakeholders. Develop consensus and gain buy-in for strategic priorities Proficiency in Advanced SAS,SAS macros and SQL; Tableau or BI/automation tools Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Strong ability to develop partnerships and collaborate with other business and functional area Job Expectations: The incumbent would functionally contribute as an SME to the Auto Lending Credit Risk team and execute relatively large and complex projects with moderate to high risk for the line of business. Leads significant initiatives and processes, and partners with line of business management to drive the company credit culture, appetite, and business performance with inputs from senior leadership. Advises and counsels leadership. Directs and coordinates the various activities related to assessing and predicting risk and performance through business analysis and/or modeling. Establishes effective policies, processes, and tools to identify and manage risks. Uses predictive sciences for developing future ready solutions. Develops comprehensive monitoring frameworks and dashboards and provide statistically sound diagnostic evaluation of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision making. Reports on asset quality (delinquency, loss rate), portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, industry segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics. Develops quantitative/qualitative tools and methodologies for forecasting losses in supporting portfolio planning, loan loss provisioning, or new account acquisitions. Develop, maintain, and enhance the complex programming to extract data and/or manipulate databases such as Oracle, Teradata to support LOB strategy. Perform complex data analysis to support data quality, data integrity control. Evaluate new data sources and attributes, internal and external from extensive case reviews. Analyze big data and understand / monitor trends to provide actionable insights across a range of risk analytics initiatives. Lead project teams and may mentor but does not manage other team members. To be effective in this position, you will need an excellent understanding of credit risk, a broad and strategic perspective on risk management, and be fluent in key technical tools of credit risk decisioning. Posting End Date: 25 Jun 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Senior Data Scientist Hyderabad, Telangana, India Date posted Jun 19, 2025 Job number 1823535 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you a real Machine Learning enthusiast? Does the magic of the data world fascinate you? Here at Microsoft Search we have been working on Machine Learning much before it became cool to do so. Here we are solving real world problems to empower millions of people around the globe. Microsoft Search powers delightful and relevant experiences for enterprise users to cater to their overall information need. AI powered Copilots has made the future to be the current reality. We are looking for candidates who can help build the next generation Machine Learning system. Candidates are expected to be hands on and experienced on data mining, ranking, clustering, recommendation systems. As a Senior Data Scientist in the team, you will be working independently on challenging problems, define/measure success metrics for them, as well as contribute towards Design Reviews, ML/Data pipeline reviews for the whole team. 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. Qualifications Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ year(s) 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn OR Bachelor'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 tec OR equivalent experience. 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. Hands on experience of implementing and shipping production quality Machine Learning models or Data pipelines A minimum of Bachelor’s degree in Computer Science or related field Prior work/research experience in Search domain is preferable Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field AND 3+ 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, #M365CORE Responsibilities End to end ranking of search results. Large Language Models. AI powered Copilot scenarios. Compliance and Privacy aware Machine Learning training pipelines at scale. Personalization of search results. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. 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.

Company Description CrystalVoxx Global LLP is a healthcare econometrics company offering integrated healthcare solutions, including Medical Billing and Coding Services for individual and group practices. With a focus on healthy revenue cycles and financial performance improvement, CrystalVoxx provides services such as Provider Insurance Credentialing, Claims Scrubbing, Payment Posting, AR Recovery & Denial Management, and more. The company utilizes a unique process workflow, smarter analytics, and technology to ensure no money is left uncollected. Role Description This is a full-time on-site role for an AR Caller at CrystalVoxx Global LLP located in Ahmedabad. The AR Caller will be responsible for following up on unpaid claims, rebilling, sending appeals through fax or mail, and reprocessing claims through phone. The role involves proactive revenue cycle management to ensure financial success for healthcare practices. Qualifications Experience in Accounts Receivable and Healthcare Billing Knowledge of Provider Insurance Credentialing and Denial Management Proficiency in ERA & EFT Enrollment and Payment Posting Strong communication and interpersonal skills Attention to detail and ability to work in a fast-paced environment Experience with Clearing House Rejections and AR Recovery Bachelor's degree in Healthcare Administration or related field is a plus Show more Show less

Location - Gurgaon/Noida/Pune Job Responsibilities: · Responsible for collecting all in- scope Business requirements in an insurance process · Elicit, analyse, specify, validate, and verify the logic breakdown for "To Be" State of Business Solution · Ability to perform detailed analysis of existing systems/processes to ensure all aspects of the Business Solution requirements are understood & mapped · Able to prioritize requirements and negotiate on MVP on behalf of the technical team · Capable of managing all non- technical aspects of the new requirements · Able to map and formalize business requirements, ready for two way communication between Business and technical channels to normalise a Workable solution " · Experience in capturing details and documenting PRD, BRD, FSD details for creating the Solution Story overview · Capable of working with the Business overview to create User Stories and testing scenarios · Able to create a data mapping document between source and target systems · Experience in Systems Gap Analysis & Wireframing of Solution experience. SQL experience required/ P&C Insurance experience required. Qualifications: Bachelor’s degree (BBA, BCA, BE, B-Tech) with 9-12 Years of Experience MBA, Economics/Econometrics MA, MBE (DU), & Similar Masters desirable Insurance Qualifications, viz. FII, CPCU, CII, ARM - highly preferred Show more Show less