Mobile App Engineer

Location: New York (Office)

On-site | Full-time

Compensation: $185K - $300K

Our client is developing a next-generation mobile trading platform designed to redefine the future of finance. Unlike simplified retail applications, this platform offers a full-featured trading experience, including live market data, complex order types, and multi-venue execution.

The Mobile Engineer will be responsible for bringing the power of professional trading terminals to a mobile form factor. The role involves tackling sophisticated engineering challenges, such as maintaining synchronized real-time price feeds and ensuring system performance remains stable during periods of high market volatility. This position is ideal for a developer who excels in high-bandwidth, in-person collaborative environments and is passionate about building ambitious systems from the ground up.

Key Responsibilities

Front End Engineer (Product Engineer)

Location: New York, NY

On-Site | Full-time

Compensation: $200K/yr - $325K/yr

Our client is a high-growth fintech firm building the next generation of trading and portfolio management technology. Founded by industry veterans from top-tier quant shops, the organization has secured over $100M in funding to rethink how financial institutions manage trillions in assets. The core product suite handles everything from high-throughput market data to complex portfolio optimization. Our client is looking for a driven Engineer to help build the performant, data-rich interfaces that power these mission-critical workflows.

You will own the user experience for platforms that handle massive data scale and complex financial operations. This isn't just about building "dashboards"—it's about engineering intuitive interfaces for real-time position tracking, smart order routing, and high-cardinality optimization.

Key Responsibilities

Senior AI Data Scientist

Location: Remote - USA, Europe, Israel

Compensation: $130K - $150K

We are a leading financial technology firm building the infrastructure for safer, more accessible global markets. Our risk management systems, oracles, and AI models secure hundreds of billions in assets and process trillions in transaction volume across major protocols. We recently launched a cutting-edge financial intelligence platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to a global audience.

We are seeking a Senior AI Data Scientist to lead the design, evaluation, and evolution of the agentic systems behind our financial intelligence platform. This role sits at the intersection of LLMs, financial data, and decision systems.

You will own the logic behind how our models reason over data, how agents coordinate and make decisions, and how we rigorously measure quality, correctness, and risk in production AI workflows. You’ll work closely with product, engineering, and research teams to move from experimentation to reliable, scalable AI systems that operate under real-world financial constraints.

Key Responsibilities:

Quant / Trading Engineer

Location: US remote preferred, open to Europe for strong candidates

Compensation: Competitive

We are building a foundational layer for the next generation of financial markets: perpetual markets based on onchain economic activity. Instead of merely pricing assets or narratives, our platform allows traders and autonomous agents to take directional exposure to the growth or decay of applications, protocols, and infrastructure within the onchain economy.

We deploy directly into the Hyperliquid ecosystem, optimizing discovery and execution through our dedicated application. As a member of our early-stage team, you will work at the intersection of quantitative finance, crypto market structure, and high-performance onchain data systems.

Your mission is to build the signal layer and APIs that make autonomous trading agents materially more effective. You won’t just be moving data; you’ll be converting raw market behavior into high-fidelity, agent-readable signals.

Senior AI Data Engineer (Agentic Systems)

Location: USA / Europe / Israel - with a 5hour overlap with EST hours

Compensation: $130K - $150K

We build the technology that powers safer, more accessible financial markets. Our risk management systems, oracles, and AI models currently secure over $200 billion in assets across the world's largest decentralized protocols, having processed more than $5 trillion in transaction volume. We recently launched a pioneering Financial Intelligence Platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to every participant in the ecosystem.

The Role: We are looking for a Senior AI Data Engineer to design and build the agentic systems powering our intelligence platform. You will work at the intersection of LLMs, financial data, and production infrastructure, creating intelligent agents that reason, plan, and execute across complex financial workflows.

Responsibilities:

Location: On-Site — Santa Ana, California
Department: Product Operations
Salary Range: $50,000 - $80,000 + 10% Performance Bonus

Company Overview

eJam is a consumer products brand incubator operating across direct-to-consumer e-commerce, Amazon and third-party marketplaces, and retail distribution. We move fast, stay lean, and build products consumers love. Every role here matters — and this one keeps the product engine running.

Position Summary

The Product Development Coordinator is the operational hub of our product pipeline. You will manage the flow of information, track project status, coordinate across internal teams and external partners, and ensure nothing falls through the cracks.

This is not an ideation or strategy role. This is a coordination and execution role for someone who thrives on organization, follow-through, and keeping multiple projects moving simultaneously.

You will maintain our project tracking systems, prepare materials for weekly product meetings, track RFQ processes with vendors, and serve as the central point of communication between sourcing, design, and external resources.

Reports to: CEO

Works closely with: Operations, Sourcing, Creative, External Partners

Core Responsibilities

Pipeline & Project Management

Senior Data Engineer (Monitoring & Parameter Systems)

Location: Porto, Portugal (Full-Time)

Category: Engineering / Data Science

Compensation: $140K - $300K

We are on a simple mission: to make it possible for anyone with a digital wallet to trade stocks, commodities, currencies, and crypto with full transparency. We are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built entirely on-chain. Every trade, deposit, and withdrawal on our platform is verifiable through open, auditable code.

To date, we have raised $27.9M+ from top-tier investors including General Catalyst, Jump, Susquehanna (SIG), Alliance DAO, and Balaji Srinivasan.

We are seeking a Data Engineer (Monitoring & Parameter Systems) to architect and operate the analytics, observability, and parameter-proposal infrastructure that keeps our protocol safe and economically sound. You will serve as the critical bridge between protocol mechanics—such as fees, spreads, and liquidations—and production-grade data systems. Your mandate is to translate complex economic models into reliable pipelines and monitoring services that ensure the protocol remains healthy across all markets.

Responsibilities

Staff Frontend Engineer: Low-Latency Trading Interface

Location: Remote - Fully remote in Asia

Compensation: $40K - $60K

Join a high-growth technology company at the forefront of Prediction Markets, AI, and Blockchains. We are experiencing parabolic growth, managing $200 million in annualized volume and growing at over 100% weekly. Our vision is backed by influential investors, including a $500 million AUM digital asset fund and an exclusive AI/crypto accelerator with a sub-1% acceptance rate.

This is a senior, high-impact role dedicated to building a performance-critical trading interface where usability, correctness, and speed are the competitive edge. You will operate directly on systems involving real money and high market risk.

The Staff Frontend Engineer will be a key architect responsible for the user-facing side of our low-latency, high-throughput trading systems. You will translate complex trading data and execution paths into a fluid, responsive, and reliable user experience.

What You'll Do:

Frontend Engineer (Decentralized Ownership & Governance) - Remote/Hybrid

Location: Remote - Milan preferred or EU based

Compensation: $70K - $90K

TL;DR: We are building a groundbreaking new platform that enables the launch, ownership, and governance of ownership tokens using decision markets on EVM chains. We are seeking an experienced Frontend Engineer to help bring these innovative, complex interfaces to life.

This is a chance to work at the intersection of DeFi, tokenized ownership, and futarchic governance, creating the core user-facing applications that will define a new paradigm for founders, investors, and traders.

As a Frontend Engineer, you will be responsible for developing and maintaining the core user-facing applications of our protocol. You will translate complex crypto concepts and governance mechanics into beautiful, intuitive, and highly performant interfaces.

What You'll Build (Key Applications):

1. Interface (Main Web App): The primary application where users interact with the protocol for investing and ownership management.
2. Landing Page: The marketing site that tells the platform's story.
3. Governance Layers: Specialized, intuitive interfaces for decision market participation and voting.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes. The ideal candidate will have strong capital markets domain expertise, hands-on data analysis skills, and the ability to bridge business requirements with technical delivery teams.

Key Responsibilities

Capital Markets & Trade Lifecycle:

• Analyze and document business processes across equities, fixed income, and derivatives products.
• Support end-to-end trade lifecycle analysis and process optimization.

Reference Data & Master Data Management (MDM):

• Contribute to golden-source reference data design and attribute hierarchies.
• Support data modeling, data lineage mapping, and corporate action workflows.

Data Quality & Controls: