Global Investment Analyst

About Us

At Assembly, our mission is to find the change that fuels growth. We apply this principle to the work we do with our clients and to how we engage with our people. We’re a modern global agency bringing together media, data, technology and talent to make brands perform. Our business is purpose driven. In March 2022, we were named Ad Age’s first ever Purpose-Led Agency of the Year, recognised for our mission to leave the world better than we found it. This year we became B Corp certified, the result of a two-year journey. We’re proud to have created a culture where diversity of thought, experience, and background are valued, within an environment that fosters continuous learning, adaptability, and a shared passion for meaningful impact.

When you join Assembly, you become part of an award-winning global community of digitally led experts, home to 1,500 talented people across 25 offices globally. Together we create unique data, technology and media solutions that enable faster and smarter problem solving within an inspired, collaborative workplace. Assembly is poised for its next chapter of growth. We’re a meritocratic, high-performance business with a progressive outlook and a growth mindset in all that we do. To realise our potential we need some new skills and thinking.

The core DNA of Assembly lies in digital performance marketing. New and existing clients are asking us to extend this expertise across all media, connecting traditional channels with digital methods of execution, measurement and automation. We were born the right way to do this – we’re building out from a leading digital and technology capability and adding the rest, rather than trying to reverse engineer a legacy business into a more modern version of itself.

At Assembly we ask our people to embody three core values:

• Show Up: actively contribute to a space of personal and collective growth
• Make Change: embrace obstacles as opportunities, taking intentional steps to drive positive change
• Win Well: approach success with integrity, responsibility, and a commitment to collaboration, understanding that the journey is as important as the destination.

We look forward to meeting you and to discussing how we can grow together.

Overview

We are seeking an Investment Analyst to aid in the coordination and execution across several ongoing and long-term corporate partnership initiatives and other emerging investment projects. The ideal candidate has a strong understanding of commercial constructs, financial analysis, critical thinking, problem solving, and will be responsible for helping to drive company growth across important revenue objectives. This is a fast-paced role with a keen eye on revenue generation and managing toward aggressive growth targets.

Responsibilities

• Data Science and Modelling: Utilize advanced data science techniques to analyze large datasets, develop predictive models, and generate actionable insights for investment strategies.
• Forecasting: Implement robust forecasting models to predict market trends, investment returns, and potential risks, ensuring data-driven decision-making.
• Attention to Detail: Maintain a high level of accuracy and attention to detail in all analyses, ensuring the integrity and reliability of data and models.
• AI Agents: Leverage AI agents to identify and resolve data issues, optimize investment processes, and enhance overall efficiency.
• Multi-Time Zone Collaboration: Work effectively in a fast-paced, multi-time zone environment, coordinating with global teams to ensure seamless operations and timely delivery of insights.
• Proactivity: Demonstrate a proactive approach in identifying opportunities for improvement, anticipating challenges, and driving continuous innovation in investment strategies.

Required Skills

• Bachelor's or Master's degree in Data Science, Statistics, Finance, or a related field.
• Proven experience in data science, statistical modelling, and forecasting within the investment or financial sector.
• Strong proficiency in programming languages such as Python, R, or similar.
• Experience with AI and machine learning tools and frameworks.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Ability to work independently and collaboratively in a multi-time zone, fast-paced environment.
• Strong communication skills to effectively convey complex data insights to stakeholders.

Equal Opportunities

Assembly is an advocate for equal opportunity in the workplace. We are committed to ensuring equal opportunities regardless of race, colour, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.