Location: Singapore, Singapore (Hybrid)

Hybrid | Full-time

Compensation: $115K - $140K

Our client is an institutional-grade prime broker specializing in liquidity provisioning and high-scale algorithmic trading infrastructure. The organization is dedicated to delivering highly reliable, low-latency connectivity frameworks optimized for systematic funds, proprietary trading firms, and advanced algorithmic builders operating at scale.

They are seeking a highly technical Quant Developer Relations Engineer to take full ownership of the technical onboarding and integration lifecycle for API-driven trading counterparties. In this capacity, the successful candidate will operate directly at the intersection of core engineering and elite trading teams, ensuring seamless, low-friction adoption of the client’s institutional trading infrastructure.

Key Responsibilities

Overview

Union Maritime provides fully integrated logistics services for clients focused on Commercial Management, Technical Management, Marine Services, and Technology.
Union Maritime is dedicated to delivering focused and comprehensive coverage to our clients. Our obligation as a service provider is to provide solutions and ensure rapid response to their needs. We take that obligation very seriously.

Overview

We are looking for a quantitatively minded analyst to help scale our market intelligence and decision-making capabilities across tanker and dry bulk markets. This role sits at the intersection of data, markets, and strategy—focusing on identifying mispricing, improving market timing, and strengthening risk and performance frameworks.

Key Responsibilities

Mispricing Detection

• Operate and extend our “live terminal” of S&P and TC-in/out opportunities
• Pressure-test breakeven, valuation, and forward-curve assumptions behind deals
• Build quantitative cases for or against opportunities
• Scale evaluation from a handful of opportunities to hundreds per week

Market Timing

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

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.