
About 42.com
42.com is a proprietary hedge fund where technology is the core advantage. The company is rethinking financial market forecasting using modern systems, new hardware paradigms, and frontier AI. The fund operates tightly with an internal AI Research Lab — together they design and own the full stack from research ideas to production trading systems.
The engineering culture is more like a classic IT/research company than a traditional trading firm: frequent group work, cross-functional projects, and open communication.
42.com is building the core trading system from scratch — a first-principles design, not an iteration on legacy infrastructure. They are looking for HFT Core Engineers to own the central execution engine, internal data model, and critical runtime components.
What you are expected to do
Design and implement the core trading engine: event loop, scheduling, and execution flow
Define and build internal data models for order books, trades, positions, and state transitions
Develop execution systems: order lifecycle management, smart order routing, risk checks, and position tracking
Design and implement real-time risk systems: pre-trade checks, exposure limits, kill-switches, and capital allocation constraints across strategies
Build treasury and funds routing logic: capital distribution across venues, internal netting, collateral management, and efficient movement of funds between accounts
Ensure consistency and correctness of the state under high load and partial failures
Optimize critical paths for latency and throughput (CPU cache, memory layout, branch prediction)
Collaborate with connectors and research teams to ensure clean interfaces and minimal overhead integration
Build the system with a phased market scope: start with crypto markets (spot, perps), then extend to traditional markets (equities, futures, options) with unified abstractions
What you need to succeed
Experience building low-latency systems (HFT, real-time systems, or similar)
Strong systems programming skills in C++
Deep understanding of concurrency, memory models, and performance optimization
Experience designing complex systems from scratch with clear abstractions and minimal overhead
Understanding of trading system components: order lifecycle, execution logic, and risk controls
Familiarity with capital management, risk systems, or treasury workflows in trading environments
Ability to reason about correctness under concurrency and failure
Experience with profiling and performance tuning at the CPU level
Proactive and initiative-driven
Comfortable working closely with a team in a collaborative engineering environment
English Proficiency
What you get
Greenfield opportunity: Build the entire core trading system from scratch within a tech-first hedge fund backed by a strong AI Research Lab. First-principles design, no legacy.
Freedom and ownership: Own the central execution engine, data model, and critical runtime components. Full ownership of the platform from architecture to production.
Culture: Collaborative, engineering-oriented environment: frequent group work, cross-functional projects, and open communication.
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Key team members

Kostya Gorsky

Ilya Polyak

Tamara P.

Tatiana Sarach
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