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About the Role
We are building the world model for a resilient global economy by translating the physical world into financial impact, starting with asset-level intelligence for financial markets. This role is the second analyst on the data science team, focused on producing monthly research and bespoke analysis for clients.
Responsibilities
- Produce monthly research, including the El Niño update for public and subscriber versions.
- Conduct bespoke analysis for clients, exploring climate and financial data for signals.
- Assist with building the next peril models.
Requirements
- Data analyst background, preferably from an asset-management context.
- Ability to quickly understand customer problems.
- Comfortable working directly with data.
- 2-5 years of experience.
- Willingness to commit to long-term growth within the company.
Skills
- Data analysis
- Financial markets analysis
- Physical risk data analysis
- Geospatial analysis
- Research and writing
Location
- San Francisco
Work Type
- Onsite
Experience Level
- 2-5 years
Salary/Compensations
- $120K–$150K
Benefits
- 0.15–0.35% equity
- Health-insurance reimbursement (QSEHRA)
- Commitment to grow benefits with raises and milestones
- Awesome office space
About the Company
- Kepler maps physical assets of companies, models their production and earnings, and connects them to financials. They layer physical risk, supply-chain dependencies, and geopolitical concentration onto this foundation. They are working with 3 of the world's top asset managers (over $30 trillion AUM).
- Company values: Curiosity, Pragmatism, Empathy, Transparency, Care.