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Senior Economist

Job ID: 1739707 | Amazon.com Services LLC

DESCRIPTION

Are you seeking an environment where you can drive innovation? The Consumer Finance Science and Analytics (CFSA) team's mission is to inject data science, econometrics, and advanced analytics into traditional financial analytics. We harness science, technology, and financial analytics to crack Consumer Finance’s toughest challenges and power smart decision-making throughout the organization. We are data leaders who identify and deliver today's actionable scientific analyses and recommendations, and tomorrow’s durable frameworks and software.

We are looking for an outstanding economist to drive causal attribution initiatives throughout WW Consumer Finance. You will develop core science-based methodologies and build scalable models to improve financial decision making and planning. You will work on new, transformative initiatives, and you will build new econometric models from the ground up. You will help build an advanced causal attribution framework measuring the downstream impact of clusters of selection. This framework will be used by senior leadership to take actions in order to drive profitability improvements.

We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making through economics. The ideal candidate combines econometric acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned analysts, scientists, engineers, economists, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.



BASIC QUALIFICATIONS

· PhD in Economics or closely related field
Experience with causal estimation techniques

PREFERRED QUALIFICATIONS

· Experience working with large datasets
· Experience with Python scripting
· Experience using AWS services (EMR, S3, Athena, Glue)
· Experience using Spark and PySpark
· Experience with SQL
· Strength in coding/scripting
· Excellent written and verbal communication skills on quantitative topics
· Keen judgment for balancing research depth and pacing
· Able to operate autonomously in scoping, executing, and delivering projects
· Undergraduate-level knowledge of investments, corporate finance, and accounting
· Excitement to shape a growing team and state-of-the-art technology for Amazon Consumer Finance


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.