Finance Intern

Time Seventeen; Hong Kong; On-site; HKD 180,000 - 280,000; Full time

Job summary

Time Seventeen is building risk pricing infrastructure with a focus on geopolitical and catastrophe risk. We seek an motivated, early-career analyst to translate strategy into financial analysis, operating models, and market research.

You will work with leadership to develop market notes, map participants, and support product ideas with transparent assumptions and defensible numbers.

Qualifications

• Student or early-career candidate in finance, economics, accounting, mathematics, or related field.
• Strong spreadsheet skills and practical understanding of financial statements or valuation.
• Ability to research unfamiliar markets and evaluate source quality.
• Clear writing and comfort explaining numerical assumptions.

Responsibilities

• Research institutional use cases for geopolitical and catastrophe risk pricing.
• Build financial models and scenario analyses with documented assumptions and sensitivities.
• Map relevant investors, market participants, index providers, and strategic partners.
• Analyze pricing, distribution, and business-model questions for proposed products.
• Prepare concise market notes, presentation materials, and source-backed comparisons.
• Help maintain analytical inputs and communicate changes that affect conclusions.

Skills

Spreadsheet skills

Financial statements

Valuation

Python

SQL

Financial data

Education

Finance/Economics/Math major

Tools

Python

SQL

Financial data sources

Job description

About Time Seventeen

We give risk a price. We create state prices for tail events.

About Time Seventeen

We give risk a price. We create state prices for tail events.

The world contains a large class of risks that determine where capital flows yet have no price today. Global supply chains are being reconfigured, while the geopolitical discount rates that inform consequential decisions remain difficult to quantify. Time Seventeen is building tradable synthetic indices and term structures for these risks.

Time Seventeen is infrastructure for geopolitical risk and catastrophe risk. We give risk a price. We create state prices for tail events. Our ambition is to turn fragmented judgments about individual events into continuous risk prices, then bring those prices into institutional valuation, trading, and risk-transfer workflows.

Our work connects event definitions, probabilistic forecasting, market data, index methodology, and execution infrastructure. We explore how prediction markets, actuarial models, insurance and reinsurance structures, and blockchain-based DeFi can contribute to a common language for uncertain outcomes. The challenge is to make risk legible across different horizons, exposures, and market participants, while keeping assumptions and limitations explicit.

Building this infrastructure requires more than a compelling forecast. Data must be traceable, events must have defensible resolution rules, methodologies must survive scrutiny, and products must account for liquidity, basis risk, operational resilience, and applicable legal constraints. We want institutions to be able to understand a risk price, challenge its construction, and assess how it relates to the exposure they actually hold.

We are building a focused team across research, engineering, markets, and risk. We value people who can move between deep specialist work and the practical decisions needed to build a company: identifying the important question, testing an approach, communicating the evidence, and carrying the result into a usable system.

About The Role

Support financial analysis and institutional market research for event-risk indices, capital formation, and emerging risk-transfer products.

You will help translate the company strategy and product ideas into clear financial and commercial analysis. The work may include operating models, market mapping, comparable businesses, and research on how institutions use index-linked or event-linked instruments.

You will work with leadership and market colleagues to build analyses that support concrete decisions. We value a transparent model with defensible assumptions more than a complex spreadsheet that hides uncertainty. You will learn to explain the implications of your analysis and the limits of the available evidence.

What you'll do

• Research institutional use cases for geopolitical and catastrophe risk pricing.
• Build financial models and scenario analyses with documented assumptions and sensitivities.
• Map relevant investors, market participants, index providers, and strategic partners.
• Analyze pricing, distribution, and business-model questions for proposed products.
• Prepare concise market notes, presentation materials, and source-backed comparisons.
• Help maintain accurate analytical inputs and communicate changes that affect conclusions.

What we're looking for

• Student or early-career candidate in finance, economics, accounting, mathematics, or a related field.
• Strong spreadsheet skills and a practical understanding of financial statements or valuation.
• Ability to research unfamiliar markets and evaluate source quality.
• Clear writing, attention to detail, and comfort explaining numerical assumptions.
• Python, SQL, or experience with financial data is helpful.

What success looks like

• Deliver a financial or market analysis tied to a clear company decision.
• Make assumptions and sensitivities easy for colleagues to review.
• Develop a useful view of institutional demand and relevant market participants.

Location & working arrangement

This role is based in Hong Kong. Please share your availability, current location, and any academic or scheduling requirements.

How we work

Time Seventeen is a focused, high-ownership team. We value clear thinking, direct communication, careful execution, and people who carry important work through to a result. We expect colleagues to surface inconvenient evidence, ask precise questions, and make the limits of their work explicit. Strong specialist judgment matters, as does the willingness to understand how your work affects research, markets, engineering, and risk. We prefer useful documentation and clear decisions to unnecessary process.