Quant jobs / Keyrock

Quantitative Analyst Intern – Digital Assets Market Making (HFT)

A six-month internship on the strategic proprietary market making desk, on the high-frequency track for centralised crypto venues. You would work with researchers, traders and engineers on order-book analysis, execution modelling and strategy monitoring.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Analyse multi-venue order book, trade and fill data to measure liquidity and execution quality
Build latency-aware, event-driven backtests that model queue position, fees and fill probability
Measure spread capture, markouts and adverse selection across venues and regimes
Study cross-venue lead-lag, fair value and spot-perpetual basis
Review live PnL, inventory and exposure, and investigate surprises

What they ask for

Required

Python for data analysis (Polars or similar)
SQL, Git and command-line workflows
Limit order books, order types and maker/taker mechanics
Order lifecycle: latency, queue position, partial fills, cancellations
Spot versus perpetual futures: basis, funding, liquidation risk
Probability, statistics and time series
Clear communication in English

Preferred

Exchange WebSocket and REST APIs, async data pipelines
Rust or another systems language
Tick and order-book data, event-driven simulation
ClickHouse or another analytical database
A project on market microstructure or systematic trading

Education: Current or recent degree in maths, computer science, engineering, physics, quantitative finance or a related field
Experience: Students or recent graduates, ideally with an order-book or trading-bot project
Languages and tools: Python
Polars
SQL
ClickHouse
Git
Rust
Markets: crypto, futures

How to prepare

Collect order-book data from an exchange API and study spreads, depth and trade impact
Write an event-driven market making backtest with queue position, fees and cancellations
Compute forward markouts and explain adverse selection on your own fills
Learn how perpetual futures work: funding, basis and liquidation mechanics
Practise Polars and SQL on large tick datasets

What to study

The HFT Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Keyrock’s site before applying: requirements, location and pay can change after we check them.

View the posting on Keyrock’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Keyrock and doesn’t handle applications.