Cranebird & Co

Location: LDN/WAW/HNK/SNG/TKY
Type: Freelance / Contract (B2B)
Compensation: Negotiated individually
Ownership: PnL-linked / ownership-based role

Context

A high-performance trading infrastructure is developing for low-latency, multi-asset trading.
 

Role

Work on core trading systems where:

• correctness is critical
• latency is a first-order constraint
• predictability matters more than feature velocity

This is a PnL ownership role — responsibility and compensation are aligned with outcomes.

Scope of work

• Low-latency trading components:
  • market data ingestion
  • order execution
  • internal messaging
• Performance-critical systems implemented in Rust
• End-to-end data path optimisation (from socket to decision)
• Design and implementation of:
  • lock-free / wait-free data structures
  • deterministic concurrency models
• Profiling, benchmarking, and bottleneck elimination
• Systems work close to the metal, where abstractions are explicitly questioned

Requirements (Must-have)

• Prior work on HFT, market making, or exchange infrastructure
• Excellent Rust:
  • ownership model
  • lifetimes
  • memory semantics
• Deep understanding of:
  • data structures
  • concurrency and memory ordering
  • operating systems
  • networking internals
• Practical experience with:
  • Linux performance tuning
  • multithreaded systems under sustained load
• Ability to reason about system behaviour under stress and failure conditions

Nice to have

• Kernel-bypass networking (DPDK, io_uring, AF_XDP, etc.)
• Experience with low-latency messaging
• FPGA / hardware acceleration exposure

Notes

• Contract / B2B only
• No visa sponsorship
• Position may remain open without immediate hiring

Location: Remote (EU)
Preferred: Warsaw/London (regular meetings in the city centre are highly appreciated)
Type: Freelance / Contract (B2B)
Compensation: Hourly or per-task (negotiated)

About

Hi, I’m Bohdan:)

I’m setting up a new multi-asset trading desk and I’m looking for a Trading Operations Analyst to help with analytical and operational tasks around trading data. This role is research/support-focused: you will work with datasets, reports, and post-trade analytics to help decisions be made faster and with higher confidence.

What you’ll do

• Perform post-trade analysis and prepare concise reports (tables + charts)
• Break down performance by 
  • instruments/tickers
  • time windows
  • trade reasons/tags (if provided)
  • holding time / entry quality buckets (if applicable)
• Detect anomalies and data-quality issues (missing fields, outliers, inconsistent logs)
• Produce clear visualisations and summaries that can be used in decision-making
• Communicate findings clearly and defend conclusions when challenged

Requirements

• Strong statistical analysis skills (practical, not academic)
• Strong Python for data analysis (pandas / numpy; polars is a plus)
• Strong data visualisation skills (matplotlib / plotly; ability to present insights)
• Ability to state conclusions under pressure (clear, direct, defendable)
• High attention to detail and strong ownership of output quality
• Ukrainian PE (FOP) or equivalent legal ability to provide services (B2B)
• Must have full legal right to provide services — no visa sponsorship

Note: Strong analytical thinking and clarity of reasoning are valued more than years of formal work experience.

Nice to have

• Prior experience with trading / market data
• Familiarity with performance metrics (PnL attribution, drawdown, slippage concepts)
• Availability for regular Warsaw/London meetups

Compensation

I’m open to negotiating pay depending on task difficulty:

• hourly rate, or
• fixed price per deliverable

Selection process

1. Intro call (fit + expectations + availability) + Light analytical task (quick, practical)
2. Post-trade analysis test (more realistic, based on sample data)

Disclaimer

• Contract / freelance only
• No visa sponsorship
• Long-term collaboration possible if the fit is strong