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Company: Mastercard
Location: Purchase, NY
Career Level: Associate
Industries: Banking, Insurance, Financial Services

Description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Economics Analyst Overview:

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 and Academic Institutions
• Generate key hypotheses and independently structure work at the stream or small project level
• Query, clean and analyze large data sets including aggregated and anonymized transaction data
• Identify creative analyses and develop proprietary indices tailored to SMEs
• Actively participate in new solution development and support thought leadership activities. Contribute knowledge, know-how, and best practices related to SME economic research; share and leverage to continuously improve quality and productivity.
• 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: Masters's degree in Statistics, Economics, Mathematics, Engineering or Quantitative Field.
• Minimum 4 years of experience in statistical modeling, quantitative analysis, data engineering, R developer, or actuarial work.
• Strong understanding of Statistics, Econometric, Machine Learning and Big Data concepts, including GLM, ARIMA, GARCH, and other modeling and forecasting techniques.
• Proficiency in SQL and Hadoop is required.
• Expertise in R, python or other major statistical packages is required.
• Extensive experience using data visualization tools like Tableau.
• Knowledge of Javascript, Highcharts, CSS and html for visualization is necessary.
• 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. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

Pay Ranges

Purchase, New York: $114,000 - $182,000 USD


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