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Keyrock

Liquidity provision through algorithmic trading

Quantitative Analyst Intern - Digital Assets Market Making, HFT

Quantitative ResearchConfirmed live in the last 24 hours
Internship · Winter 2027

About the Job

Requirements

  • You are pursuing or recently completed a degree in mathematics, computer science, engineering, physics, quantitative finance, or a related field.
  • You are proficient in Python for data analysis, ideally including Polars or similar columnar tools, and comfortable with SQL, Git, and command-line workflows.
  • You understand limit order books, order types, maker/taker mechanics, matching and priority rules, spreads, market depth, and how trades move prices.
  • You can reason about the order lifecycle from signal to acknowledgement and fill, including exchange APIs, latency, queue position, partial fills, cancellations, fees, slippage, and adverse selection.
  • You understand key differences between spot and perpetual futures, including basis, funding, leverage, liquidation risk, settlement currencies, and residual exposure.
  • You are comfortable with probability, statistics, time-series analysis, and evaluating noisy results without overstating significance.
  • You can structure an ambiguous problem, test assumptions, and communicate findings and limitations clearly in English.

Responsibilities

  • Analyse multi-venue top-of-book and depth data, trades, orders, fills, and cancels to study liquidity, price discovery, and execution quality.
  • Build and validate latency-aware, event-driven backtests with explicit assumptions around maker/taker execution, queue position, fill probability, fees, and cancellations.
  • Measure spread capture, forward markouts, fees, and adverse selection, and investigate how execution quality changes across venues, instruments, and market regimes.
  • Build reusable Python tools and data pipelines using modern columnar analysis and SQL for strategy research, performance attribution, and monitoring.
  • Study cross-venue price discovery, lead–lag relationships, fair-value construction, and spot–perpetual basis while accounting for data staleness, instrument design, and settlement-currency differences.
  • Support live strategies through PnL, inventory and exposure analysis, post-trade review, and investigation of unexpected performance.
  • Evaluate liquidity-program economics by balancing execution quality, market share, fees, and incentives, and work with traders and engineers to translate research into robust production improvements.
  • Present findings clearly, including assumptions, limitations, risks, and recommended next steps.

Desired Qualifications

  • Experience with ClickHouse or another analytical database.
  • You have built or analysed something yourself, such as an order-book study, trading bot, exchange connector, backtest, execution simulator, or market-data pipeline.
  • Experience working with exchange WebSocket/REST APIs and asynchronous market-data pipelines.
  • Exposure to Rust or another systems programming language.
  • Experience with tick/order-book data, event-driven simulation, or execution modelling.
  • A technical project demonstrating sustained interest in systematic trading or market microstructure.

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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