Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Key Responsibilities

Role Overview

We are seeking a high-caliber Site Reliability Engineer (SRE) to join our Forward Engineering team. You will be the guardian of our production ecosystems, ensuring that our complex, data-driven AI platforms remain resilient, scalable, and highly performant. This role is a hybrid of software engineering and systems architecture, with a specialized focus on MLOps—bridging the gap between model development and production-grade reliability.

Job Overview

We are looking for a Mid-Level AI / Backend / API Developer to join our growing team. This role combines backend engineering with AI integration, focusing on building scalable systems and APIs while incorporating intelligent features into applications.

The ideal candidate has strong backend development experience and is comfortable working with AI tools, APIs, and data-driven systems.

Key Responsibilities

• Design, develop, and maintain scalable backend systems and services
• Build and manage RESTful and/or GraphQL APIs
• Integrate AI/ML models and third-party AI services into applications
• Handle database design, optimization, and data processing
• Collaborate with frontend developers, product managers, and other stakeholders
• Ensure performance, security, and scalability of backend systems
• Write clean, maintainable, and well-documented code
• Troubleshoot and debug issues across the system

Requirements

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities

Data Eng - Analytics and GTM

Location: New york

Onsite | Full-time

Compensation: $140K - $220K

We are hiring on behalf of our client, an aggressively growing, well-funded fintech startup (Series A, $27.9M+ raised) on a mission to bring full transparency to global trading. They are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built on-chain. By leveraging open, auditable code, we ensure that every trade, deposit, and withdrawal is verifiable. Backed by world-class investors including General Catalyst, Jump, and Susquehanna, they are looking for a Data Engineer to build the analytics engine that will power their next phase of growth.

The Role

As the Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help them understand their users, optimize their growth motion, and drive better decision-making across the business. Your mandate is to turn raw on-chain and product data into reliable, self-serve analytics that fuel acquisition, retention, and revenue.

What You’ll Do

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.

Staff Quantitative Engineer (Onchain Market Primitives)

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

Compensation: Competitive

About the Company We are building a foundational layer for perpetual markets centered on onchain economic activity. Instead of pricing speculative assets or narratives, our platform allows traders and autonomous agents to take directional exposure to the growth or decay of the onchain economy—including protocols, infrastructure, and capital flows. Our markets are deployed directly into the Hyperliquid ecosystem, with discovery and execution optimized through a dedicated application suite. This is early, foundational work at the intersection of quantitative finance, crypto market structure, and onchain data systems.

Role Overview We are seeking a Staff Quantitative Engineer to own the design and evolution of our core market primitives. This is not a research-only or support role; you will own markets end-to-end, from first-principles design and specification to post-launch iteration based on real trading behavior. As a technical lead and thought partner to the founders, you will set the standard for how we design indexes, oracles, and market integrity systems.

What You’ll Own

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

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning 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.

As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

Description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. Now hiring for multiple opportunities in Technology Consulting and Solution Delivery.

Responsibilities