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Keyrock

Liquidity provision through algorithmic trading

Head of Risk

Quantitative RiskConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Strong foundation in quantitative risk management, including hands-on experience with market risk, credit risk and liquidity risk modelling, ideally aligned with frameworks presented in Quantitative Risk Management by McNeil, Frey and Embrechts.
  • Demonstrated ability to design and implement risk models, including tail risk estimation, scenario analysis, stress testing frameworks and dependence modelling across asset classes.
  • Proven experience designing or co-designing firm-wide risk systems and working closely with technology and operations to translate risk requirements into scalable infrastructure.
  • Experience operating at the intersection of traditional financial markets and digital assets, including centralized finance and/or decentralized finance, with understanding of differences in market structure, risk transmission and infrastructure.
  • Practical knowledge of crypto-specific risks, including exchange and custodian risk, smart contract risk, protocol risk, funding and basis dynamics, and collateral management in centralized and decentralized environments.

Responsibilities

  • Own and develop the firm's risk function end-to-end, with accountability for designing, implementing and enforcing a firm-wide risk framework across all activities.
  • Co-design the firm's risk architecture with the COO and CIO, covering data, analytics and real-time risk aggregation.
  • Oversee risk across trading, including spot and derivatives, treasury and investments, including exposures across centralized finance and decentralized finance environments.
  • Define risk appetite, implement advanced risk metrics and ensure disciplined risk-taking across the organization.
  • Develop and maintain a quantitative risk framework based on modern risk theory, including market, credit, liquidity and systemic risk modelling, tail risk, extreme value theory, dependence structures and stress testing.
  • Co-design and implement the firm-wide risk management system with the COO and CIO, including data architecture, risk aggregation layers, real-time monitoring capabilities and reporting infrastructure across all business lines.
  • Build an integrated risk view across centralized and decentralized venues, covering exchange risk, counterparty risk, smart contract risk, collateral efficiency and liquidity fragmentation.
  • Define and implement advanced risk metrics, including Value at Risk, Expected Shortfall, stress scenarios, liquidity-adjusted risk and concentration risk, and ensure their consistent application across trading, treasury and investment activities.
  • Translate traditional financial risk methodologies into crypto-native environments, adapting models for 24/7 markets, fragmented liquidity, funding dynamics, on-chain transparency and risks such as oracle and protocol risk.

About the Company

Keyrock

Liquidity provision through algorithmic trading

Keyrock provides liquidity solutions for digital asset markets by using algorithmic trading and market making on both centralized and decentralized exchanges. Its tech places buy and sell orders automatically to tighten spreads and improve market liquidity, serving B2B clients such as crypto exchanges and blockchain projects. The system works by running proprietary algorithms that continuously quote prices and trade sizes, aiming to offer the best prices while minimizing market impact. Keyrock differentiates itself by operating across multiple venue types (CEXs and DEXs) and focusing on liquidity provision for its clients rather than just executing trades for themselves, enabling partners to run more efficient, better-funded markets. The company’s goal is to enable more liquid and efficient digital asset markets and to generate revenue by charging fees based on trading volume or assets under management, reflecting the value it adds to client ecosystems.

Company size
201-500
Company stage
Series B
Total funding
$77.7M
Headquarters
City of Brussels, Belgium
Founded
2017

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