About Union Maritime

Union Maritime Limited is a London-based shipowner and operator. Its core business is the product tanker market, focused on MR2 and larger vessels, alongside a presence in the dry bulk sector. The company is also investing in its future fleet, with newbuild hulls at Wuhu Shipyard in China. Decisions on when to buy, sell and build are central to the business, and the S&P / Strategy team sits at the heart of that work.

Role Purpose

The Junior Analyst will support the S&P / Strategy team in tracking the secondhand, newbuilding and demolition markets, analysing potential acquisitions and identifying areas for investment across tanker and dry bulk. Working closely with Guy Blunden, the Senior Associates and the Analyst, you will turn market data and broker intelligence into clear analysis, practical tools and well-reasoned recommendations.

Key Responsibilities

Market Monitoring & Intelligence

· Monitor vessel sales, asset values, newbuilding orders and contracting, and demolition activity on a daily and weekly basis across the tanker and dry bulk markets.

· Review broker reports and market intelligence, track comparable sales, and flag notable transactions, price movements and emerging trends to the team.

Asset Screening & Acquisition Analysis

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250+ Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

Role Overview

Data QA is how we make sure the data we deliver is right before the customer sees it. As a Data QA Engineer, you will check the data our spiders and AI-assisted projects produce against what the customer asked for, find what is wrong and tell the team exactly what you found.

Quality assurance is more useful as a question asked at the start than a gate at the end. Is this requirement testable and how would we know if it were wrong? Part of this role is asking that question early, so problems are fixed before they reach the customer.

Key Responsibilities

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.

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

We are seeking a hands-on, highly skilled Senior Data Scientist to join our team in Atlanta, GA. In this role, you will work closely with enterprise clients in the Banking and Financial Services sector to design, develop, and deploy cutting-edge machine learning and predictive models. You will be responsible for translating complex financial business challenges into robust AI/ML solutions and writing clean, scalable code.

What you will be doing

About Tiger Analytics

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

What you will be doing

We are looking for a Senior Azure Data Engineer with strong expertise in Microsoft Azure data services, Python, Scala, and Apache Spark. The ideal candidate will design, develop, and maintain scalable data pipelines and ETL/ELT solutions to support enterprise data platforms.

Key Responsibilities:

We're looking for a Senior AI Developer to design, build and run production-grade agentic AI systems on AWS and Azure. You'll turn business problems into reliable multi-step agent workflows that use LLMs, tools and enterprise data. You'll own solutions from architecture and prototyping through deployment, evaluation and monitoring, and you'll set engineering standards for how we build with AI.

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 a Sr. Analytics Consultant where you will bridge the gap between high-level business strategy and technical execution. In this hands-on consulting role, you will lead project discovery, drive stakeholder engagement, and design the core metric structures that power strategic decision-making.

Responsibilities

• Lead discovery sessions and stakeholder interaction to understand business requirements.
• Translate business objectives into clear, actionable analytical roadmaps.
• Establish definitions, calculation logic, and governance for key performance indicators (KPIs) and business metrics.
• Conduct data suitability and quality assessments to ensure foundational data supports key metrics.
• Perform hands-on data exploration, feature analysis, and data profiling using SQL and Python.
• Partner with Power BI developers to design intuitive wireframes, semantic models, and dashboards aligned with business workflows.

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 a Sr. Analytics Consultant where you will bridge the gap between high-level business strategy and technical execution. In this hands-on consulting role, you will lead project discovery, drive stakeholder engagement, and design the core metric structures that power strategic decision-making.

Responsibilities

• Lead discovery sessions and stakeholder interaction to understand business requirements.
• Translate business objectives into clear, actionable analytical roadmaps.
• Establish definitions, calculation logic, and governance for key performance indicators (KPIs) and business metrics.
• Conduct data suitability and quality assessments to ensure foundational data supports key metrics.
• Perform hands-on data exploration, feature analysis, and data profiling using SQL and Python.
• Partner with Power BI developers to design intuitive wireframes, semantic models, and dashboards aligned with business workflows.

Requirements

About Tiger Analytics

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

What you will be doing

We are seeking a Senior Data Engineer to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines, processing large datasets, and managing scheduled data workflows to support enterprise data engineering initiatives.

Key Responsibilities: