KoBold Metals

Natural Resources

ExecutiveAnalystAfrica

$450–750k ~AI est. Lusaka, Zambia CONTRACT
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Executive candidates.

The Brief

“Executive Analyst Africa at KoBold Metals. Skills: Financial modeling, Commodity analysis, Strategic analysis. Structure ambiguous problems. Build financial models”

Industry & Context.

Natural Resources
Problems you'll solve

Proactive problem-solving; First-principles thinking; Synthesize complex information

Eligibility Requirements

Frequent travel, Zambian nationals only

What They're Looking For.

Must Have

3+ years experience, STEM or economics degree, Legally authorized to work in Zambia

Nice to Have

Python experience preferred, Financial modeling experience preferred, French speaker advantageous

What You'll Do.

Structure ambiguous problems

Build financial models

Build operational models

Provide recommendations to CEO

Create supply/demand forecasts

Write commodity outlook reports

Perform operational modeling

Perform financial modeling

Model KoBold technology decisions

Write investment memos

Develop scientific communication materials

Aggregate existing research

Conduct original research

Build forecasts for commodity markets

Build forecasts for KoBold operations

Build forecasts for mine development

Answer strategic questions for CEO

Develop visual products for Board

Develop analytical products for Board

Develop visual products for investors

Develop analytical products for investors

Use first-principles approach

Make decisions on operational efficiency

Improve operational efficiency

Model costs for technology

Model costs for exploration

Report carbon emissions

Conduct trade-off analyses

Conduct sensitivity analyses

Conduct analytics for mine development

Build financial models for project economics

Maintain financial models for project economics

Support global analytics team

How You'll Work.

Team & Collaboration

Global Commercial Analytics team; KoBold functions

Communication Scope

Visual products; Analytical products; Scientific communication

Full Job Description

About the Company KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures. KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors. Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP. About the position In this role, you will report directly to KoBold Metals Africa’s Chief Executive Officer. You will work closely with the global Commercial Analytics team (across North America and Europe) to structure ambiguous problems, build financial and operational models, and

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