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.

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 seeking a strategic and execution-focused Data Product Manager to lead the development, modernisation, and scaling of enterprise data products. This role will sit at the intersection of business, data engineering, analytics, and technology, translating complex business needs into scalable data solutions that drive measurable impact.

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 seeking a strategic and execution-focused Data Product Manager to lead the development, modernisation, and scaling of enterprise data products. This role will sit at the intersection of business, data engineering, analytics, and technology, translating complex business needs into scalable data solutions that drive measurable impact.

Responsibilities:

About us

With a long history of operating and investing in the shipping industry, Danaos manages one of the largest independently owned fleet of modern, large-size containerships. Our dedication to innovation, safety, efficiency and environmental responsibility has helped us forge our reputation as the leading provider of containership management services in the world.

Danaos has been widely recognized for its operational performance, technological innovation, high operational standards and commitment to sustainability. This recognition and technology to management, strong work ethic and sustainable development, the awards Danaos has received are the recognition of the innovations the company has developed in every aspect of its activity.

At Danaos we have made environmental sustainability a priority as we look to the future. We constantly employ the highest operating standards on board to ensure an ethical, safe and pollution free environment for everyone - our people, the community and the marine life all over the world.

As a Mid-Senior Software Developer:

Danaos Shipping’s R&D Department is looking for a Mid–Senior Software Developer who builds high-quality production code and is interested in applying AI in real-world applications.

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 seeking a strategic and execution-focused Data Product Manager to lead the development, modernisation, and scaling of enterprise data products. This role will sit at the intersection of business, data engineering, analytics, and technology, translating complex business needs into scalable data solutions that drive measurable impact.

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 seeking a strategic and execution-focused Data Product Manager to lead the development, modernisation, and scaling of enterprise data products. This role will sit at the intersection of business, data engineering, analytics, and technology, translating complex business needs into scalable data solutions that drive measurable impact.

Responsibilities:

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects.

The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making.

Responsibilities-

1. Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.

2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.

3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.

4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Requirements

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects.

The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making.

Responsibilities-

1. Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.

2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.

3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.

4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Requirements

Founding ML Engineer

Location: San Francisco, CA (In-person)

Compensation: $150K – $200K • 0.20% – 1.00% Equity

Our client is a high-growth, YC-backed startup based in San Francisco seeking a Founding ML Engineer to help redefine how engineering output is measured and optimised. This organisation is building a definitive platform that leverages modern AI to provide engineering teams with an accurate, actionable view of productivity, impact, and collaboration.

The company has secured a $4.2M seed round from top-tier investors and has demonstrated consistent double-digit month-over-month revenue growth. This role offers a rare opportunity to join at the ground floor and develop the machine learning systems that will shape how millions of engineers and leaders understand their work. The Founding ML Engineer will work directly with a CTO (MIT alum and former founding engineer) and a CEO with a proven track record of scaling startups from $0 to $30M in ARR.

Key Responsibilities

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects.

The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making.

Responsibilities-

1. Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.

2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.

3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.

4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Requirements