Our client, an innovative venture-backed fintech start-up supported by top-tier investors (including early backers of Polymarket and Kalshi), is building a next-generation trading platform for sports fans to trade performance-based markets on professional athletes.

The organization is seeking a talented Founding Engineer (Frontend) to lead the development of their flagship consumer web application. Working closely alongside experienced co-founders with backgrounds from Apple, Google, Dragonfly, and Arbitrum, this key leadership hire will play a central role in designing intuitive trading and portfolio experiences while making complex underlying transaction flows seamless for users.

This is a full-time, in-office role located at our client’s office in Chelsea, New York City. It offers competitive compensation, high-impact product influence, and a significant founding equity stake.

Our client is a high-growth fintech and Web3 technology company currently serving over two million users. Backed by top-tier venture capital firms, the organization has raised substantial Series B funding to scale its platform, expand product offerings, and maintain high engineering standards while accelerating development velocity.

The company is seeking an experienced, autonomous Staff Frontend Engineer to take ownership of its core mobile and web application surfaces. In this role, the engineer will drive critical frontend initiatives—including the rollout of new order types, support for additional asset classes (such as perpetuals and prediction markets), and the expansion of key social features.

The ideal candidate possesses deep mastery of React, operates effectively with a high degree of autonomy, and thrives in a fast-paced, in-person environment. While focused on frontend architecture, engineers are empowered to contribute across the stack whenever beneficial.

Requirements

This is not a research seat where models get handed off to someone else's pipeline — you design the strategy, write the code, deploy it, and own it in production. If you want your models allocating real capital onchain within weeks of joining, read on.

Depending on your background and interests, you'll join one of our vault strategy teams. Our strategies span lending and credit curation, cross-chain yield aggregation, structured products, RWAs, and more. Teams own the full strategy lifecycle: research and protocol due diligence, strategy design and backtesting, allocation and rebalancing engines, onchain execution and optimization, and 24/7 monitoring of live positions. You own strategies end-to-end and are accountable for their performance, safety, and uptime.

What you'll do;

- Design and ship vault strategies: take a strategy from thesis and design doc through implementation, simulation, deployment, and live operation — RWAs, leveraged lending, yield aggregation, cross-protocol allocation, perpetuals, prediction markets, and new product types we haven't built yet.

- Optimize strategies: signals research, execution optimization, gas-aware rebalancing across tokens and chains, liquidity and duration management.

Location: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $300K - $375K

Our client, a premier venture accelerator backing high-growth technology and emerging-tech startups, is seeking an experienced and self-directed Senior Machine Learning Engineer to join their in-house engineering team in New York City.

Reporting directly to the Chief Technology Officer (CTO), the Senior Machine Learning Engineer will take full ownership of features throughout the product lifecycle—from requirements definition to production deployment. This onsite role requires an entrepreneurial mindset and deep technical execution to turn loosely defined problems into robust, production-ready machine learning and LLM-based systems without reliance on large engineering teams or dedicated project managers.

Key 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.

We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding.

Key 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.

We are seeking a Senior Data Scientist – Causal Inference & Customer Loyalty to join a brand-new Business Unit (BU) supporting leading Retail and CPG clients. In this role, you will design, develop, and deploy advanced causal and predictive solutions that drive critical business decisions across customer retention, loyalty program optimization, churn mitigation, and lifecycle monetization.

You will work closely with business stakeholders, marketing leaders, data engineers, and analytics leadership to build foundational data models and scalable algorithms that deliver measurable revenue generation from customer behavior. The ideal candidate combines strong causal inference expertise with hands-on machine learning experience and the ability to translate complex behavioral data into actionable business recommendations.

Key Responsibilities

Location: New York, United States (Office)

On-Site | Full-time

Compensation: $250K - $300K

We are hiring on behalf of our client who is seeking a highly skilled and autonomous Staff Frontend Engineer to lead the technical evolution of its primary application surfaces. Our client provides an institutional-grade yet highly accessible trading application that abstracts away the complexities of on-chain operations—such as external wallets and bridging—enabling seamless, instantaneous asset access alongside advanced social trading features. Within its first year of operation, the platform has successfully onboarded over 500,000 users and executed more than $3.5 billion in total trading volume.

The successful candidate will join an elite, lean engineering organization comprised of crypto-native talent drawn from top-tier decentralized finance (DeFi) and digital asset protocols. This individual will take comprehensive ownership of both the mobile application architecture (developed with Expo) and the web application infrastructure (built utilizing React Router and Vite). As our client scales its core product offering to support novel order types, decentralized perpetuals, prediction markets, and sophisticated social layers, this role provides significant cross-stack flexibility and foundational architectural ownership.

Location: San Francisco, United States (Office) - Full time on-site

On-Site | Full-time

Compensation: $160K - $265K

We are hiring on behalf of our client, an elite, early-stage consumer technology organization operating at the intersection of Web3, decentralized prediction markets, and interactive gaming. Backed by top-tier venture capital, the team is speedrunning toward substantial scale, deliberately maintaining a lean, highly ambitious operating footprint of under 20 exceptional individuals. They are developing next-generation gamified trading experiences and sophisticated entertainment layers built directly on top of prediction markets, engineering a paradigm shift geared toward mass consumer adoption.

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.

We are seeking an experienced Lead Data Scientist to drive advanced analytics initiatives focused on improving forecasting model accuracy and developing Generative AI solutions for explainability. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding.

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: