Co-Founder & CTO

Co-Founder / Partner

Trading Systems Engineering

Build the trading systems and lead the engineering team.

Reporting to the CEO | Remote globally | Team across North America and the Middle East

The client is a new fund launching in the Middle East, with a regional family investment platform as anchor LP and co-GP. The fund is structured to scale to several hundred million dollars through staged closings, with service providers selected and the anchor LP closed. The successful candidate will work alongside members of the founding team, who bring a multi-year operating track record from an established global fund platform.

The role

Build and own the trading platform across mid-frequency and high-frequency trading. Take responsibility for market data, exchange connectivity, execution and foundational risk systems, working with portfolio managers from research through live production. Personally build core components and own architecture, performance, latency and reliability. Design the data and replay infrastructure needed to investigate market behaviour and reproduce trading decisions. Put pre-trade checks and real-time exposure controls into the execution path, with clear handling of stale data, rejected orders and failures. The ambition is to support portfolio managers of global, tier-one calibre as they deploy and scale their strategies.

What you bring

Deep software engineering experience. Python or Rust is required, alongside a record of building and operating low-latency trading systems. You understand concurrency, data flows and failure modes, and care deeply about code quality, performance and maintainability. Measure latency across the trading path, identify bottlenecks and make informed trade-offs between speed, complexity and reliability. Keep the codebase healthy through clear interfaces, documentation, observability and disciplined review and testing.

Trading infrastructure experience. You have practical experience of crypto exchange connectivity and traditional-market trading systems, ideally at a tier-one hedge or quantitative fund. You understand data quality and sequencing, order lifecycle, execution behaviour and reconciliation. Build systems that recover predictably from disconnects and partial failures, with safeguards that preserve risk visibility. Mathematics, statistics and ML are welcome complements to your engineering depth.

AI-native engineering judgment. You use LLMs and coding agents to accelerate development, debugging and profiling while retaining responsibility for architecture, correctness and code quality. You can apply agents to repeatable engineering work, check their changes against system behaviour and explain the evidence behind a decision. You verify their output and know when to reject it.

Dependable partnership. You identify priorities, make sound technical decisions and communicate risks early. Explain complex engineering choices clearly to portfolio managers and business partners, including their effect on trading, delivery and ongoing operations. Take responsibility for production incidents, coordinate a clear response and follow through on the underlying causes.

Build the engineering team

Recruit and lead an engineering team while remaining a strong hands-on contributor. Set priorities with the CEO and portfolio managers, establish practical engineering standards and give colleagues clear ownership. Work with researchers to turn prototypes into supported production components, preserving the assumptions needed to interpret results. Build shared research and trading infrastructure that can support additional strategies without weakening reliability or code quality. Develop the team’s judgment through review and mentoring as the platform grows.

Ownership and freedom

Compensation is US$200,000 per year in base salary, a discretionary bonus and 5% equity in the GP.

Choose where you work and manage your schedule with substantial autonomy. The team operates across North America and the Middle East, so dependable collaboration across time zones is expected. Travel is limited for this role. Time away is flexible, provided production systems, risk controls and escalation coverage remain fully managed.

You have the freedom to shape the platform and engineering organisation, with responsibility for the quality of the decisions and systems you put into production.