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

Location: Singapore, Singapore (Hybrid)

Hybrid | Full-time

Compensation: $115K - $140K

We are hiring on behalf of an elite proprietary trading infrastructure firm is seeking an exceptional Backend Engineer to design and build the core components of its next-generation institutional trading framework. Operating as a specialized prime brokerage ecosystem for high-throughput decentralized protocols, our client develops cutting-edge environments powering institutional-grade algorithmic execution at scale.

This critical technical role focuses on architecting secure, low-latency infrastructure capable of processing high-volume financial transactions. The successful candidate will collaborate with an elite technical team to advance the capabilities of decentralized execution environments, utilizing privacy-preserving technologies and sophisticated distributed system designs.

Key Responsibilities

Location: New York, United States • London, United Kingdom (Office)

On-Site | Full-time

Compensation: Competitive Compensation

Our client is a high-growth software development organization and a key contributor to one of the largest and fastest-growing decentralized crypto social networks globally. The platform has achieved massive scale, generating significant revenue and global attention since its inception.

To support this rapid expansion and ensure the continuous uptime of its high-stakes, high-throughput environment, our client is seeking a battle-tested Site Reliability Engineering (SRE) Expert. This individual will be handed ambiguous, critical infrastructure challenges and will be trusted to navigate them end-to-end—scoping solutions, making sound architectural trade-offs, and executing with precision.

Key Responsibilities

Location: Remote - UK working hours

Remote | Full-time

Compensation: £100K - £130K

We are hiring on behalf of our client, a high-growth financial technology organization who is seeking to welcome a talented Senior Software Engineer to its core technical team. This position operates on a remote-first configuration across the UK and Europe, with flexible access to a collaborative corporate hub in Moorgate, London.

Key Responsibilities

Location: New York, United States (Hybrid) - NY area

Hybrid | Full-time

Compensation: $100K - $150K

Our client is an innovative and fast-growing technology service provider that delivers a high-performance, low-latency, and high-throughput distributed messaging system tailored specifically for the Fixed Income electronic trading markets. Because the quality of technical architecture and client engagement is critical to their commercial success, the employer is looking to expand its technical support capabilities within the North American market.

The primary focus is to troubleshoot, diagnose, and resolve sophisticated application, product, and integration anomalies within complex, live electronic trading environments. This is an exceptional opportunity to work alongside industry-leading distributed systems engineers and gain comprehensive exposure across the entirety of a modern financial technology ecosystem.

Key Responsibilities

Description

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Key Responsibilities-

Location: Remote - Flexible work location (Preference is North America)

Remote | Full-time

Compensation: $180K - $300K

We are hiring on behalf of our client who is an innovative organization building the next generation of market infrastructure to redefine how value is discovered, priced, and distributed in real time. The mission centers on bringing structure, transparency, and efficiency to systems where value is currently fragmented and opaque.

Operating at the intersection of distributed systems, market structure, and applied cryptography, the firm is defining a new category for MEV distribution that merges economic efficiency with emerging regulatory frameworks. Based in New York and San Francisco, the organization consists of a high-leverage team focused on building systems that impact real-world economic flows.

The successful candidate will design and build core systems from first principles. This is an opportunity to turn ambiguous problems into production-grade infrastructure, defining architecture and making critical tradeoffs in a fast-moving environment. The role involves working across the full stack of real-time distributed systems, including data ingestion, low-latency execution, and auction mechanisms.

Key Responsibilities

Location: Remote - Must have a 6 hour overlap with EST

Remote | Full-time

Compensation: $100K - $130K

We are hiring on behalf of our client who is a technical infrastructure firm specializing in the delivery of massive-scale web data to organizations developing advanced artificial intelligence models. The organization supports high-capacity bandwidth-sharing networks and operates a distributed crawler capable of accessing high-quality public web data at a global scale. Additionally, the team has engineered sophisticated pipelines for the ingestion, segmentation, and annotation of billions of multimedia files, facilitating dataset creation for frontier research labs.

The organization operates as a lean, technical team that prioritizes speed and direct execution. As a Research Crawling Engineer, the successful candidate will design and operate large-scale web data acquisition systems. This role encompasses distributed systems, scraping infrastructure, and data pipelines, focusing on providing high-quality inputs for research and model development.

Key Responsibilities

Location: Remote - NYC preferred. Also open to US remote.

Remote | Full-time

Compensation: $200K - $275K

We are hiring on behalf of our client, a leading innovator in the blockchain space who is seeking a Senior Golang Engineer/ Staff Backend Engineer (with deep Go expertise) to join their core backend team. Our client has developed a real-time parimutuel prediction market platform built on Solana, designed to integrate ultra-fast, 60-second to 30-minute prediction markets directly into livestream environments and web platforms.

Following a successful $1M pre-seed round in April 2026 led by prominent venture participants in the Solana ecosystem, the organization is scaling its infrastructure to handle high-concurrency, traffic patterns. As one of the first backend engineering hires, the successful candidate will own critical systems responsible for market creation, settlement, and automated payouts during high-stakes global livestream events.

Key Responsibilities: