About the role

Data Scientist Economist responsible for creating new economic indicators and analyzing macro/micro trends. Focused on the insurance sector with emphasis on client advisory services.

Responsibilities

Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry.
Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks.
Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US.
Correlate the findings to implications for the insurance sector.
Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets.
Create methods and systems to integrate and curate the various data sets from their sources.
Work with internal data engineering partners to source appropriate data.
Build models to create localized trends and the bespoke economic indicators.
Create presentations and determine unique new methods of displaying the data findings.
Develop views on the national, state, and local economies.
Ascertain new methods of injecting findings into the firm’s operations, strategy, underwriting, and financial planning.
Join the team’s leadership in meeting with clients to present findings and outlooks.
Develop presentations and briefings that can be utilized by the firm’s external partners.
Contribute to the Global Insights Center’s external research publications.
Prepare white papers outlining medium term views on key aspects of the US economy.

Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques.
Candidates must be authorized to work in the US without company sponsorship.
Experience turning large data sets into economic indicators.
Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation.
Strong understanding of the US economy.
Knowledge of building complex models.
Effective communication and writing skills to further research publications.
Experience briefing senior executives on complex topics.
Strong process management discipline.
Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively.
Team player with a strong collaborative orientation; ability to build strong relationships across an organization.
Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients.
Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals.
Excellent written and verbal communications skills.
Degree in computer science, data science, math, or economics is preferred.