remote protocol/engineering/dai

Who are we?

Neutrl Labs is building a cutting-edge, neutral trading protocol to capture volatility and return across liquid BTC, ETH, and Altcoins via fundamental trading, OTC liquidity strategies, and perpetual derivatives. We combine market neutral strategies with automated hedging to deliver capital efficient returns for institutional and advanced traders.

Our team brings deep experience from leading crypto protocols, traditional finance companies, and exchanges, backed by top-tier investors and partners. We create the next generation of trading infrastructure optimized for digital asset markets.

What we are building

It enables delta-neutral trading infrastructure, which enables scalable and market-neutral exposure to digital assets. Trading stack integrated:

• Delta Neutral Strategies: Fundamental/funding arbitrage, cross hedging, and straddled options.
• OTC arbitrage: Discounted acquisitions, inventory optimization, and arbitrage.
• Automated hedging: Systematic futures/options with rebalancing with real-time controls.

This platform is designed for institutions, treasuries and complex market participants looking for capital-efficient returns in the crypto space.

Role summary

We are recruiting a quantitative trader to own live strategy deployment, execution, and PNL across delta neutral and short-horizon strategies. You will partner closely with quantitative researchers to translate research into flexible, low-cost and capital-efficient trading. You will manage real-time risk, refine execution, iterate on signals/parameters, and production improvements that materially impact PNL.

Key responsibilities

Ownership of strategy and implementation

• Deploy, monitor and optimize delta-neutral, arb-arb, and fund/fundamental strategies across major crypto venues (CEX/DEX/PERPS/Options).
• Translating research models and signals into executable trading logic; Calibrate parameters, thresholds, and risk limits to live conditions.
• Manage inventory, funding/underlying exposure, and cross hedging to maintain target risk profiles.
• Lead placement, guidance, strategy allocation across liquidity systems and fee structures.

Real-time hazards and microstructure

• Real-time risk management (Greeks, stock, exposure, drawdown, slippage) with automated and manual interventions.
• Improve execution across order types (bounds, wedges, post-IOC, post-IOC), queuing, and negative selection.
• Oversee order book interaction: quote placement, skew, replenishment, and micro-architecture aware implementation to minimize impact and costs.

PNL, Monitoring and Instruments

• Own in-day PNL and performance analytics; Run A/B tests, parameter scans, and passes/canaries.
• Build dashboards, alerts and health checks for latency, fill, decline, borrow/fund, and market system shifts.
• Diagnose and solve production problems: communication, place specifics, code mapping, corporate procedures, and data quality.

Collaboration with research and engineering

• Partner with quantitative researchers on signal validation, backward reconciliation, and microstructure modeling.
• Provide production feedback loops: attribution slippage, friction/financing frictions, queue dynamics, and liquidity shocks.
• Work with engineering to enhance execution drivers, location switches, and failure/safety mechanisms.

Data-driven iteration

• Run event-driven and tick-level analytics to optimize execution and risk rules. * Contribute to simulation environments with realistic market impact, latency, and queuing models.
• Proposed and prototyped an incremental edge: cross-function spreads, liquidity mining incentives, and inventory financing.

Qualifications

necessary

• 3+ years in quantitative/algorithmic trading with PNL Can be demonstrated in crypto, FX, stocks, or futures; Crypto perps/options is a highly preferred experience. * Deep understanding of market microstructure, order types, queue dynamics, and inventory/risk management in high throughput environments
• Powerful Python for production-oriented business workflows; Comfort reading read/write strategy and configurations.
• Hands-on implementation improvement: venue routing, fee/financing arbitrage, borrowing management, and sensitive behavior capture.
• Proven ability to operate live systems: alerting, incident response, rollback, and post-mortem.

He prefers

• Experience with basis/fund arbitrage, cross-exchange market making, and options-based hedging.
• Familiarity with Jax/Pytorch built models and integration of lookup signals into execution logic.
• Experience with distributed systems and data tools (arrow/parquet, dask/ray, DBS for timeline).
• Comfortable collaboration in rust-based production environments; Exposure to python integration to redistribution is a plus.
• Risk knowledge and portfolio optimization (Kelly, convex position sizing, drawdown control).

Soft skills

• Decisive under pressure with excellent situational awareness in fast markets.
• Strong communication with researchers and engineers; Strict about documentation and change control.
• An ownership mentality with a high bar for reliability, safety and capital stewardship.

Key performance indicators

• Risk-adjusted PNL (Sharpe, Sortino, hit rate, tail risk).
• Quality of execution (Slippage vs. criteria, queue rank, negative selection).
• Inventory and hedging efficiency (load capture, financing/basis leakage).
• Operational excellence (uptime, incident rate/MTTR, safe deployment cadence).

Technical environment

• Research and prototyping: Python (Numpy/pandas, statsmodels, pytorch/jax).
• Production: Rust based trading systems (integration via APIs/bridges).
• Infrastructure: bare metal networking, kernel-bypass, custom implementation framework.
• Data: tick level time series, stock/parquet, distributed arithmetic.

How does this role engage with quantitative research?

• Shared ownership of research to production: You can shape deployability, risk boundaries, and implementation assumptions early on.
• Continuous feedback loop: Reconciling tests with live fills, slippage, and frictions/borrowing/financing.
• Common tools: Market simulators, feature pipelines, and microstructural analyzes to accelerate iteration.

What we offer

• Direct and measurable impact on live PNL and strategy evolution.
• Close collaboration with world-class researchers and systems engineers.
• Autonomy of iteration and scale strategies from prototype to production.
• Performance-based compensation with significant upside.

Why join us?

Neutrl Labs is transforming how institutions capture volatility and return in crypto markets. Whether you’re passionate about building cutting-edge trading algorithms or creating bulletproof infrastructure, this is your chance to make a real impact on the future of decentralized capital efficiency.

Apply now and help redefine the future of enterprise-grade Defi.