Quantitative Risk Lead

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Job Description

The Finance team at IFT is seeking a Quantitative Risk Lead to take charge of quantifying, tracking, and reporting financial risks that the organization faces. As an ecosystem of Web3 projects, the role will support the significant treasury of the entire organization.

Key Responsibilities:

  • Identifying and quantifying financial and economic risks that the treasury is exposed to.
  • Owning the development and maintenance of quantitative risk models for the treasury (e.g., Historical VaR, Monte Carlo VaR, Multi-Factor Risk Models, Stressed VaR, Liquidity Risk models, etc.).
  • Building the data gathering and risk monitoring infrastructure, including on-chain monitoring of smart contracts.
  • Performing advanced statistical analysis on underlying risk factors (returns’ distribution, volatility, correlations).
  • Supporting the build-out of an internal quantitative tool stack (e.g., asset models, simulation engines, forecasting and reporting, scenario analysis, etc.).
  • Assisting in the development of dashboards and reports to centralize quantitative risk information for financial decision-making.

Must Haves:

  • Excellent software development skills (ideally Python, but open to other languages), with a strong preference for automation, documentation, and testing.
  • Structure and rigor in thinking.
  • Degree in a quantitative discipline (STEM, economics, finance).
  • Productivity while working remotely and autonomously, initially in a risk quant “team of 1”.
  • Strong alignment with our principles.

Should Haves:

  • Deep knowledge of the specific financial and quantitative risks faced by a web3 organization with a large, on-chain, multi-asset crypto treasury (i.e., must be able to independently identify them, not just quantify the risks that others ask them to).
  • Previous professional experience with smart contract development.
  • Previous professional experience building similar quantitative risk tech stacks.
  • A security mindset.

Nice to Haves:

  • PhD in a quantitative discipline.
  • Previous experience in a risk quant role within a web3 organization.
  • Experience working for an open-source organization.

[Don’t worry if you don’t meet all of these criteria, we’d still love to hear from you anyway if you think you’d be a great fit for this role. Just explain to us why in your cover letter].

Hiring Process:

  1. Interview with Pepper, from the Talent team.
  2. Interview with Adam, IFT Chief Financial Officer.
  3. Task.
  4. Task presentation with a Software Engineer & Adam.
  5. Interview with a Co-Founder.

The steps may evolve as needed, so please consider the above as a guideline.

Compensation:

The expected compensation range for this role is $90,000 - $140,000 (negotiable, dependent on how we assess your skills and experience throughout our interview process). We are happy to pay in any mix of fiat/crypto.

Institute of Free Technology

Industry: Other

Company size: 11-50 employees

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Job Details

  • Department: Analytics
  • Position type(s): Full-Time
  • Location: Remote
  • Posted: 2 weeks ago

Compensation

  • $90,000 - $140,000
  • Equity not specified

Keywords

Quantitative Risk Web3 Python Smart Contracts Crypto Treasury Risk Models Statistical Analysis

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Last updated: September 13, 2024

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