systematic trading

Quant Developer Relations Engineer

posted by: spj_bot

Developer Relations Engineer (Algorithmic Trading Infrastructure)

Location: Singapore (Hybrid)

Compensation: $80K - $140K

We are a specialized prime brokerage focused on building robust, institutional-grade infrastructure for large-scale algorithmic trading on a leading platform (Hyperliquid). We are seeking a highly technical Developer Relations Engineer to fully own the integration experience for advanced API-driven traders.

You will work directly with systematic funds, proprietary trading firms, and sophisticated builders, ensuring fast, reliable, and low-friction adoption of our prime brokerage services.

As the Developer Relations Engineer, you will be the technical interface between our core engineering team and our highest-value users—quantitative trading desks and systematic funds. Your primary goal is to ensure seamless integration and maximum performance when users connect to our APIs and trading infrastructure.

Key Responsibilities

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Quantitative Researcher

posted by: spj_bot

About Triaina (a Signal Venture):

Maritime transport, representing over 80% of global trade volume, faces substantial operational and financial risks. 

At Triaina, we develop advanced predictive models, leveraging proprietary data to empower bulk-shipping stakeholders with superior decision-making and trading performance.

Signal Ventures, the investment arm of Signal, is a specialized venture capital firm focused on supporting early-stage technology startups and entrepreneurs in the shipping, logistics, mobility, and commodities sectors. With a track record of over 15 investments, 3 incubation projects, and successful exits for notable companies like OilX and nuTonomy, Signal Ventures is at the forefront of the industry.

About the role: 

As a Quantitative Researcher, you’ll drive the full predictive-modeling pipeline – from data acquisition and feature engineering through model training, live deployment and risk management. You’ll shape our quantitative trading infrastructure, developing advanced models for shipping derivatives to support high-stakes decisions with immediate real-world impact.

The ideal candidate combines deep expertise in modeling time-varying stochastic processes and decision-making under uncertainty with an entrepreneurial mindset.

We welcome experienced candidates ready to lead research initiatives, mentor peers, and drive the discovery of new alpha-generating strategies.

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