Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Junior Developer/Analyst, Data Science and Analytics - Macquarie Group

Macquarie Group
London
23 hours ago
Create job alert

The FIC Data Analytics Group is a high-energy team of innovative tech professionals who leverage data to help Macquarie's global FIC business grow.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

You will apply your knowledge of computing theory and practical coding skills in a front-office role within our Data Analytics team. You will use your knowledge of Python, SQL, and various other technologies to help our business grow by providing data-driven insight into daily business activities and our client opportunities pipeline. You'll sit on the trading floor, be immersed in day-to-day business operations, and have an opportunity to become a subject matter expert in this space.

What you offer

• A Bachelor's or Master's degree in Computer Science is preferred, though other quantitative majors may be considered
• Excellent communication and interpersonal skills
• Solid Python and SQL skills, with knowledge of both Windows and Unix
• A solid understanding of various database systems and programming languages
• A desire and ability to quickly learn new technologies and business concepts as needed

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

What we offer

At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

  • 1 wellbeing leave day per year and a minimum of 25 days of annual leave.
  • 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers
  • Paid fertility leave for those undergoing or supporting fertility treatment
  • 2 days of paid volunteer leave and donation matching
  • Access to a wide range of salary sacrificing options
  • Benefits and initiatives to support your physical, mental and financial wellbeing including, comprehensive medical and life insurance cover
  • Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
  • Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
  • Access to company funded emergency and backup dependent care services
  • Recognition and service awards
  • Hybrid and flexible working arrangements, dependent on role
  • Reimbursement for work from home equipment

About Commodities and Global Markets

Commodities and Global Markets is a global business offering capital and financing, risk management, market access, physical execution and logistics solutions to its diverse client base across Commodities, Financial Markets and Asset Finance.

Our commitment to diversity, equity and inclusion

We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.
Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Junior Data Scientist

Lead Data Scientist

Lead Data Scientist

Data Scientists

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.