Title and Summary

Senior Analyst, Econometrics-1

Overview:
MasterCard Advisors is helping to shape the future of data insights by leveraging billions of anonymised, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.
Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modelling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

Use broad Banking, Retail, Travel, Technology, Digital, media, and/or payments industry experience and deep knowledge of the application of big data quantitative analytics to provide hands-on support for information product development and custom analytical project delivery that satisfies and retains a global client base.

The Mastercard Economics Institute’s mission is to drive macroeconomic thought leadership in support of Mastercard’s efforts to build a more inclusive and sustainable digital economy.
• The Economics Institute was launched in 2020 to analyze macroeconomic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for key customers, partners and policymakers.
• In addition to global and regional macro-economic trends, the institute also produces thematic research covering consumer spending, risk, small business, policy, digital and travel.
• The institute constitutes a team of economists and data scientists that utilize & synthesize data sets both from within Mastercard and beyond to bring powerful insights to life
• The institute delivers tailored 1:1 presentations, participates in key industry forums, and contributes to global thought leadership via thematic papers, organizing events and participating in media

Role
• Manage the Client/Stakeholders and Project Engagements for the Economics Institute with Government clients, Academic Institutions etc.
• Generate key hypotheses and independently structures work at the stream or small project level
• Identify creative and useful additional analyses required and suggest new paradigms for recommendations
• Create effective, impactful and quality assured storylines and visuals at stream or small project level
• Synthesize analyses into clear, sound recommendations; takes responsibility for structuring and writing reports and client ready presentations from a work stream or project level.
• Collect and synthesize feedback from clients, enhance existing products, and partner with domains for new solutions. Provide design specifications, functional and technical requirements for development of new products and solutions.
• Proactively seeks new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight
• Actively participate in new solution development and support thought leadership activities, ensure knowledge, know-how and best practices are shared and leveraged internally to continuously improve quality and productivity


All About you
• Required: Master's degree in Statistics, Economics, Mathematics, or Operations.\
• Minimum 4 years of experience in statistical modeling, quantitative analysis, data engineering, R developer, or actuarial work.
• Strong understanding of Statistics and Econometric concepts, including GLM, ARIMA, GARCH, and other modeling and forecasting techniques.
• Proficiency in SQL and Hadoop is essential
• Expertise in R, python or other major statistical packages would be an added bonus.
• Extensive experience using data visualization tools like Tableau.
• Knowledge of R & Javascript for visualization is a plus.
• Proficient in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods.
• Willingness to learn additional statistical applications or software as required.
• Experience in the financial services industry.
• Must have knowledge or experience with time series modeling approaches.