5 Econometric Jobs

Role Overview: As an Associate Economics Analyst at Mastercard Economics Institute (MEI) within the Global Growth and Operations team, you will play a crucial role in blending advanced economic research with strong programming and data visualization skills. Reporting to the Director, Growth and Operations, you will have the opportunity to apply economic thinking and technical expertise to real-world questions at the intersection of economics, retail, and commerce. Your responsibilities will involve working on large-scale data analytics, developing innovative economic insights, and creating compelling visualizations to effectively communicate these insights to diverse audiences. Key Responsibilities: - Support client and stakeholder engagements across MEI. - Collaborate with team economists, econometricians, developers, visualization experts, and industry partners. - Develop and test hypotheses at the intersection of economics, retail, and commerce. - Structure work and manage small project streams, delivering impactful results. - Identify creative analyses and develop proprietary diagnostic indices using large and complex datasets, including macroeconomic and big data sources. - Generate insights, synthesize analyses into impactful storylines and interactive visuals, and support in writing reports and client presentations. - Enhance existing products and collaborate with internal stakeholders to innovate new economic solutions. - Contribute to creating thought leadership and intellectual capital. - Create and format analytical content using Jupyter Notebooks, R Markdown, and/or Quarto. - Work with databases and data platforms, including Databricks, SQL, and Hadoop. - Write clear, well-documented code that is understandable and maintainable by others. - Collaborate using Git for version control. Qualifications Required: - Bachelors degree in Economics (preferred), Statistics, Mathematics, or a related field. - Proficiency in working with relational databases and writing SQL queries. - Expertise in working with large-scale data processing frameworks and tools, including Hadoop, Apache Spark, Apache Hive, and Apache Impala. - Proficiency in R or Python with experience in data processing packages. - Skilled in creating data visualizations to communicate complex economic insights to diverse audiences. - Experience using data visualization tools such as Tableau or Power BI. - Proficiency in machine learning, econometric and statistical techniques, including predictive modeling, survival analysis, time series modeling, classification, regression, and clustering methods is desirable. - Strong problem-solving skills and critical thinking abilities. - Excellent communication skills, both written and verbal. - Organized and able to prioritize work across multiple projects. - Collaborative team player who can also work independently. - Passionate about data, technology, and creating impactful economic insights.,

You are being offered a unique opportunity to join the Mastercard Economics Institute (MEI) as an Associate Economics Analyst in the Global Growth and Operations team. In this role, you will report to the Director, Growth and Operations and be responsible for blending advanced economic research with strong programming and data visualization skills. As an Associate Economics Analyst at MEI, you will play a crucial role in supporting client and stakeholder engagements across the institute. You will collaborate with a diverse team of economists, econometricians, developers, visualization experts, and industry partners. Your responsibilities will include developing and testing hypotheses at the intersection of economics, retail, and commerce, managing small project streams, and delivering impactful results. You will be tasked with identifying creative analyses and developing proprietary diagnostic indices using large and complex datasets. Your role will involve generating insights, synthesizing analyses into impactful storylines and interactive visuals, as well as assisting in writing reports and client presentations. Furthermore, you will have the opportunity to enhance existing products, develop new economic solutions, and contribute to creating thought leadership and intellectual capital. To excel in this role, you should possess a Bachelor's degree in Economics (preferred), Statistics, Mathematics, or a related field. Proficiency in working with relational databases, writing SQL queries, and expertise in large-scale data processing frameworks and tools such as Hadoop, Apache Spark, Apache Hive, and Apache Impala is essential. Additionally, you should be skilled in programming languages like R or Python, with experience in data processing packages. Your ability to create data visualizations to communicate complex economic insights to diverse audiences using tools like Tableau or Power BI will be critical. Experience in machine learning, econometric and statistical techniques, and strong problem-solving skills are desirable. Excellent written and verbal communication skills, organizational abilities, and the capacity to prioritize work across multiple projects are important qualities for this role. If you are a collaborative team player, passionate about data, technology, and creating impactful economic insights, and meet the above qualifications, this position at Mastercard's Economics Institute may be the perfect fit for you.,

The selected individuals will be responsible for conducting training sessions for professionals and corporates on various Analytical tools and techniques, with a focus on BI tools such as SAS, R, SPSS, Python, Tableau, and VBA. Their main duties will involve developing relevant content and materials for the program and other technologies as directed by the organization. Successful candidates will have the opportunity to grow into key positions within the organization and may explore roles in training, content development, and research based on their interests and potential. Candidates for this role should hold a MA/MSc/ MPhil/ Phd (pursuing) degree in Economics, Statistics, Mathematics, or B-Tech, with 0-2 years of work experience in a similar industry. Key prerequisites for the role include an understanding of BI tools, a working knowledge of Advanced Excel (VBA Macros), a strong grasp of Analytical concepts, and proficiency in basic Statistical Concepts such as Descriptive Statistics, Probability, Hypothesis testing, Factor Analysis, Cluster Analysis, Linear Regression, Logistic Regression, and Time series Modeling. Other essential skills and qualities include excellent Presentation, Team Handling, and People Skills. Preference will be given to candidates with consistent academic records and those with leadership experience in extracurricular activities. Candidates with a Masters in Statistics or Economics, knowledge of Econometrics, and proficiency in Base SAS, Advanced SAS, R-Programming, SPSS, Excel, VBA, and Tableau will be preferred. Additionally, familiarity with various analytical concepts such as Linear Regression, Logistic Regression, Time Series, Cluster Analysis, Factor Analysis, Analysis of Variance, Sentiment Analysis, Market Basket Analysis, CHAID- Decision Tree, Text Mining, Survival Analysis, Credit Risk, and Customer Analytics will be advantageous for this role.,

The position of Data Scientist in the Fraud & Operational Analytics Team of the Data & Analytics department involves creating Machine Learning/AI solutions to enhance fraud prevention and improve operational scalability. Your primary focus will be on developing cutting-edge ML solutions to drive customer experience, reduce operational costs, and mitigate risks effectively. As a Data Scientist, your responsibilities will include analyzing extensive datasets to extract business insights, understanding various fraud patterns, developing advanced ML models for fraud detection, and innovating with a continuous emphasis on improving approaches. You will also be exploring additional data sources to enhance the effectiveness of traditional sources and exhibiting expertise in data strategy and model training pipelines. Moreover, you will be expected to drive insights for actionable data-driven strategies, provide analytical support to the business and risk teams through bespoke and strategic analysis, and possess proficiency in econometric, statistical, and machine learning techniques. Strong knowledge of Python, SQL, Pandas, NumPy, Sklearn, TensorFlow/PyTorch, and statistical concepts for regression, classification, and anomaly detection is essential for this role. To qualify for this position, you should hold a Bachelor's degree in Science, Technology, or Computer Applications for Graduation and a Master's degree in the respective fields for Post-Graduation. The ideal candidate will have 2 to 5 years of experience in the field of data science, demonstrating a logical thought process and the ability to translate complex problems into data-driven solutions effectively.,

As an Associate Economics Analyst at Mastercard Economics Institute (MEI) in North America (NAM), you will play a crucial role in supporting the lab's mission of driving economic thought leadership to foster a more inclusive and sustainable digital economy. Established in 2020, MEI focuses on analyzing economic trends from a consumer perspective to provide customized insights on economic issues for customers, partners, and policymakers. The team, comprising economists and data scientists, leverages anonymized and aggregated data from the Mastercard network along with public data to deliver impactful insights through various channels such as presentations, global leadership, media engagement, and commercial projects using the company's product offerings. Your responsibilities will include collaborating with stakeholders across NAM, engaging with external clients, academic institutions, and industry partners, and conducting economic research and data analytics for the European region under the guidance of the Vice President, Lead Economist, NAM. You will be involved in hypothesis development at the intersection of economics and retail, creating proprietary diagnostic indices from large datasets, and deriving actionable insights to enhance existing products and develop new solutions. Additionally, you will contribute to thought leadership activities by sharing knowledge, best practices, and supporting new solution development in the realm of economic research related to retail and commerce. To excel in this role, you should hold a Bachelor's degree in Economics (preferred), Statistics, or Mathematics, with proficiency in SQL and data visualizations. Critical thinking, problem-solving skills, and a strong willingness to learn are essential qualities. Expertise in programming languages like R, Python, or similar, along with experience in data visualization tools such as Tableau or Power BI, will be beneficial. Familiarity with JavaScript for visualization and proficiency in key econometric and statistical techniques will be advantageous for this position. Moreover, as a member of the Mastercard team, it is imperative that you adhere to the organization's security policies, maintain the confidentiality and integrity of accessed information, report any security breaches, and undergo mandatory security training periodically to uphold information security standards. If you are passionate about economics, data analytics, and contributing to a more sustainable digital economy, this role offers a unique opportunity to make a meaningful impact by leveraging your skills and expertise at MEI in North America (NAM).,