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 leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and real‑time streaming architectures using Kafka. This role drives alignment across business domains and enables high‑quality, governed, and interoperable data for analytics and operational use cases.

Responsibilities:

Location: Shanghai

On-Site | Full-time

Compensation: $150K–$200K + equity

Our client is an innovative quantamental investment platform that empowers investors to build, share, and collaboratively execute sophisticated trading playbooks. The platform covers the entire investment lifecycle, including financial modeling, data visualization, quantitative strategy development, event-driven backtesting, and real-time dashboard monitoring. Designed to seamlessly convert strategic ideas into live execution parameters without requiring code, the platform fosters collaborative intelligence to turn individual research into a powerful, shared edge.

On behalf of this client, we are seeking a top-tier Quant Engineer to build and scale the core, production-grade trading engine that powers the platform's execution layer. This is a pure systems and infrastructure engineering position, rather than a quantitative strategy or research role. The successful candidate will focus heavily on infrastructure, architectural correctness, and high-level reliability across the end-to-end framework: from research and event-driven simulation to paper trading, live order routing, and real-time execution.

Key Responsibilities

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.

Tiger Analytics is seeking an entrepreneurial technology executive to join as Tech Partner. This is a high-visibility, portfolio-level leadership role designed for a visionary who wants to co-author the Data & AI strategies for Fortune 500 enterprises, drive multi-million-dollar transformations, and shape a rapidly growing global practice.

Core Mandate

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 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 have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background to add to our team. Partner directly with the VP of Enterprise Analytics of our client to evaluate performance across our insurance, banking, and wealth management business lines. You will design forward-looking, non-traditional KPIs and recommend the enterprise-wide aggregation frameworks required to unify firm-level strategic decision-making.

Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 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 have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Ontology Architect to lead high-impact applied Engineering and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

Responsibilities:

Join the Skandi Saltfjord team as ETO

Application Deadline 30.06.26

DOF is pleased to announce an internal opportunity on board Skandi Saltfjord, as we continue to deliver safe and efficient offshore operations.

We are looking for a ETO to join the vessel from 19.08.26.
A handover period prior to embarking may be expected.

Rotation: 4 weeks
Operational area: North Sea/ Worldwide

As part of the crew on Skandi Saltfjord, you will play an important role in day‑to‑day operations, contributing to safe execution of work and maintaining DOF’s high operational standards.

We value our employees and aim to provide an environment that supports teamwork, development, and professional growth. This role offers an opportunity for internal candidates who wish to further develop their career within DOF.

Who we are 

DOF is a leading provider of integrated marine and subsea services to the global offshore energy market. We combine expertise, assets, and technology to execute integrated subsea and offshore operations safely, and reliably - every time. 

Join the Skandi Saltfjord team as 2nd Officer (internal applicant)

Application Deadline 30.06.26

DOF is pleased to announce an internal opportunity on board Skandi Saltfjord, as we continue to deliver safe and efficient offshore operations.

We are looking for a 2nd Officer to join the vessel from 22.07.26
A handover period prior to embarking may be expected.

Rotation: 4 week
Operational area: North sea/Worldwide

As part of the crew on Skandi Saltfjord, you will play an important role in day‑to‑day operations, contributing to safe execution of work and maintaining DOF’s high operational standards.

We value our employees and aim to provide an environment that supports teamwork, development, and professional growth. This role offers an opportunity for internal candidates who wish to further develop their career within DOF.

Who we are 

DOF is a leading provider of integrated marine and subsea services to the global offshore energy market. We combine expertise, assets, and technology to execute integrated subsea and offshore operations safely, and reliably - every time. 

• Location: Fully Remote (UK)
• Salary: £55,000 - £60,000
• Reports to: Head of Product

The Opportunity

We're building a Content Intelligence (CI) pipeline - an AI-powered system that classifies articles, extracts entity references, and feeds a curated canonical database that our downstream products depend on.

The Data Curation Lead owns the quality and integrity of that database.

This is not an engineering role. You won't be building the pipeline. You'll be working with it - shaping the taxonomies and controlled vocabularies it classifies against, managing the curator workspace where extracted entities become managed records, and using AI tools to do that work better, faster, and at greater scale than any manual process could.

The pipeline produces raw material. You turn it into something clean, structured, and trustworthy.

You'll report to the Head of Product and work very closely with the CEO, who brings deep subject matter expertise in legal content intelligence and will be a hands-on collaborator on this work - particularly on taxonomy design, classification logic, and how the data ultimately serves clients.

Location: New York, United States (Hybrid) 

Hybrid | Full-time

Compensation: $180K - $320K

Our client operates a leading decentralized perpetual exchange, managing tens of billions in cumulative trading volume and bringing global markets—including commodities, forex, indices, stocks, and cryptocurrency—onchain with full self-custody.

To support next-generation scalability, our client is seeking a Senior Infrastructure & Data Engineer. This pivotal position involves spearheading high-impact infrastructure initiatives, migrating core applications to an advanced, state-of-the-art infrastructure layer, and optimizing high-volume data pipelines. The ideal candidate will design an environment where development teams can seamlessly self-serve up to 90% of their infrastructure needs, allowing this role to focus on high-level architecture, latency reduction, and strategic data engineering.

Key Responsibilities

Senior Quality Engineer

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Engineering at LawnStarter

We've spent the last two years rebuilding the platform from the ground up: new customer app, new Pro onboarding, job distribution engine, and data infrastructure. The foundation is solid. Now we're moving into expanded service verticals, dynamic pricing, and AI-powered features at scale. Quality needs to keep up.

Our stack is PHP (Laravel) and React/React Native, with Cypress as our primary test framework. We actively use Claude Code as part of our engineering workflow, not as an experiment, but as a core part of how we work.

The Role

As we scale into new service verticals and grow the engineering team, quality can't be reactive. This role exists to make quality proactive: owning the automation coverage, shaping the bug process, and partnering closely with Product, Design, and the Data team to catch problems before they reach customers.