Senior Quant Strat Platform Engineer

Macquarie Bank Limited
London
1 week ago
Create job alert

Join our Quant Strat Platform team within Commodities and Global Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision-making.

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 34 markets and with 55 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?

Leading collaborations with traders, our global Quant Strat team, Technology teams, and other stakeholders, you will deliver solutions in large-scale data engineering, machine learning, and algorithmic trading. Your advanced technical expertise and systematic approach will drive revenue opportunities while enhancing our quantitative platform.

What you offer

  • 5+ years' of experience in a related role with hands-on coding in Python, C++, Java, Scala, or other major languages.
  • Strong technical leadership credentials, including a systematic mindset and a proven track record of designing elegant, scalable, and pragmatic solutions with immediate impact.
  • Ability to work independently with exceptional proficiency, collaborating with diverse stakeholders to deliver comprehensive solutions from evolving high-level requirements.
  • Experience with key cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous.

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.

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.

Benefits

Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

  • Hybrid and flexible working arrangements.
  • One wellbeing leave day per year and a minimum of 25 days of annual leave.
  • Primary carers are eligible for a minimum of 20 weeks paid leave and a minimum of 6 weeks for secondary carers.
  • Paid volunteer leave and donation matching.
  • Range of benefits to support your physical, psychological, and financial wellbeing.
  • Employee Assistance Program, a robust behavioral health network with counseling and coaching services.
  • Recognition and service awards.

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.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Quant Developer - Market Risk Model Exp

Senior Data Engineer – Quant Hedge Fund

Senior AI Engineer

Product Manager - Quant Analytics & Data Solutions - CTO Office

Data Science Manager

▷ (15h Left) Head of Customer Insight

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.