Senior Full Stack Engineer - Blockchain Developer Platform

Location: Remote - Based in ET timezone or happy to work 100% ET hours.

Compensation: $180K - $225K

We are a pioneering platform dedicated to setting the standard for how regulated public blockchain networks enforce critical transaction rules. We empower teams to create modular and programmatic policies—such as AML/CFT checks and off-chain collateral requirements—that are cryptographically verified and securely enforced before transactions execute on-chain. Our mission is to provide robust, tailored risk management for real-world customer needs in the next era of decentralized finance.

As a Senior Full Stack Engineer, you will be instrumental in building the core components of our developer platform, Predicate. This is a high-impact role with direct ownership over feature design and implementation, shaping how developers interact with and implement complex transaction prerequisites.

Responsibilities:

About Signal Ocean: Signal Ocean is the technology arm of the Signal Group. Our primary product, The Signal Ocean Platform, enables shipping professionals to securely handle, integrate, and assess intricate collections of private and public shipping data. Driven by advanced machine learning and artificial intelligence technologies, the platform provides tailored, exclusive insights that support our clients in achieving performance and efficiency.

About the role: At Signal, we are committed to finding people who are respectful, inclusive, and team players, embodying these values in every role.

What you will do in this role:

We are looking for a Data Analyst who will work with marketing and product data, build visualizations, support decision-making with accurate insights, and contribute to the development of analytical models and automation.

Responsibilities

• Analyze marketing and product data to identify trends, patterns, and opportunities for optimization.
• Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI).
• Participate in building analytical and forecasting models based on product, financial, and behavioral data.
• Prepare technical documentation and maintain data dictionaries for the analytics function.
• Support automation of analytical processes, reporting pipelines, and recurring workflows.
• Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment.
• Present insights to stakeholders in a structured, clear, and actionable format.

Requirements

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 has 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 data analytics background.

Responsibilities:

Junior Data Analyst (Product Focus)

Location: London, New York City (Office)

Compensation: $175K - $225K + Tokens/Equity

We are seeking a motivated Junior Data Analyst who is eager to learn, grow, and make a significant impact in a fast-paced environment at the intersection of consumer technology and next-generation finance. In this role, you will play a crucial part in supporting data initiatives across our product, helping various teams make informed decisions through clear analysis, reporting, and insight generation.

You will work closely with senior data staff while gradually taking on more ownership as you develop your skills in a supportive, high-autonomy environment.

As a Junior Data Analyst, you will support critical data initiatives, translating raw data into actionable insights that directly influence product strategy and user experience. You will be instrumental in tracking key performance indicators (KPIs) and uncovering opportunities for growth and optimization.

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 seek someone with a good blend of business consulting skills and a data analytics background to add to our team.

Responsibilities:

• Apply advanced Data Science and MLOps techniques to solve key business problems.
• Collaborate with client stakeholders to translate business needs into high-level analytical solution designs.
• Present insights and solutions to business leaders, demonstrating impact and value.
• Manage analytics projects and coordinate with global client and Tiger teams.
• Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions.
• Build and maintain strong client relationships to support account growth.
• Partner with technical teams to select appropriate analytical methods and generate actionable insights.
• Communicate results to senior leadership and support the operationalization of analytics solutions.

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 Generative AI and Machine Learning 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 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.

The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform using Microsoft Power BI and the Azure ecosystem. This role involves assessing infrastructure requirements, defining best practices, guiding BI Engineers, enabling security, handling large data, and ensuring scalable, high-performing BI solutions that align with business needs.

Key Requirements:

We are seeking a Data Analyst to support a program by providing data-driven insights, analytics, and reporting to inform mission-critical decisions. The ideal candidate will have experience working with large, complex datasets, strong analytical skills, and familiarity with government data standards and compliance requirements.

Responsibilities:

• Collect, clean, and analyze structured and unstructured data from multiple sources.
• Develop and maintain dashboards, reports, and data visualizations to support program objectives.
• Identify data trends, patterns, and anomalies to support operational and policy decisions.
• Collaborate with government stakeholders, program managers, and technical teams to define data requirements and reporting needs.
• Ensure data accuracy, integrity, and compliance with federal data security and privacy regulations.
• Prepare and present findings, reports, and visualizations to both technical and non-technical audiences.
• Support automation of data processing and reporting workflows.
• Contribute to continuous process improvement and performance metrics development.

Requirements

Data Scientist - DeFi Quantitative Research

Location: Remote - US, Canada and would consider candidates based in Puerto Rico

Compensation: $150K - $200K

We are a Series B quantitative research and optimization company that leads the field in DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance and currently manage risk and incentives covering over $42 billion in customer TVL. We are seeking experienced Data Scientists to help new and established protocols better understand and optimize the systems they've built.

In this role, you will work directly with the premier and most innovative DeFi protocols, developing expert-level knowledge of the mechanisms that underpin the industry. This requires a strong ability to perform in-depth quantitative research, manage client engagements end-to-end, and translate complex data insights into clear, actionable value.

Responsibilities: