Applied Researcher - Forecasting Job Listing at Mastercard in Arlington, VA (Job ID R-244020)

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

Applied Researcher - Forecasting The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard's efforts to build a more inclusive and sustainable digital economy

MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers

MEI is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentations, global thought leadership, media participation, and commercial work through the company's product suites

We are looking for a forecaster to join the Applied Research team at the Mastercard Economics Institute. The Applied Research team is at the forefront of innovations to our Economics products and insights. In this role you will deliver insights using rich, multi-faceted datasets, apply and develop statistical and machine learning tools, and work with both internal and external stakeholders at leading companies across different sectors.

Key responsibilities
• Lead the team's forecasting research agenda and oversee modeling efforts across multiple forecasting projects
• Develop models across the entire pipeline – from data ingestion and feature engineering to model validation and communicating the results to key stakeholders
• Build, backtest, validate, and monitor forecasting models
• Apply cutting-edge statistical and machine learning tools to uncover patterns in large data sets, helping prototype and develop data products
• Guide usage of forecasting models and of scientific best practices across the team
• Partner with data scientists and engineers to deploy models to production
• Continuously keep up on the sectoral trends, research methodologies, and experiment with new approaches
• Participate in every stage of research projects from briefing to ideation, to content development to draft/prototyping, testing, feedback collection and finalization

About you
• Creative & passionate about research, economics, data, technology, and its applications, with an entrepreneurial mindset
• Deep expertise in one or more languages like Python, R
• Demonstrated success in modeling with big data and experience with tools such as Spark, Hadoop, Hive is strongly preferred
• Experience in time series analysis and at least one of the following: Machine learning (supervised and unsupervised), NLP, and text analysis on economic and financial data sets
• Forecasting experience of at least 2 years, ideally in a tech or financial setting
• Ph.D. or Master's in a quantitative field
• Previous client facing experience is a plus
• Excellent at managing multiple projects and staying calm under pressure

#AI2 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

Arlington, Virginia: $137,000 - $218,000 USD Boston, Massachusetts: $137,000 - $219,000 USD Chicago, Illinois: $119,000 - $190,000 USD Purchase, New York: $137,000 - $219,000 USD

 Apply on company website