Introduction

The Pepperstone story started in 2010. We know what it’s like to trade the world’s markets. Our team describes us as a place for the curious and the driven, and we like to do things a little differently; as a transformative global fintech we’re digital, nimble, connected, and united in our vision to create a better way to trade.

We thrive on progress – for our clients and for ourselves. Our organisational culture is ever-evolving, vibrant, diverse, global and results focused.

You’ll find our 550+ team currently across 11 locations and 9 time zones.

The Role

As a Marketing Data Manager, you will be responsible for utilizing advanced analytical methods, AI, and machine learning to develop data-driven marketing strategies. You will apply data science expertise to optimize marketing efforts, enhance customer experiences, and contribute to the development of generative AI technologies to support creative, dynamic and personalized campaigns.

This role requires both technical expertise in data science and a deep understanding of marketing needs, as well as a passion for exploring and applying AI in innovative ways.

As our Marketing Data Manager, your key responsibilities include, but may not be limited to:

Data Science & Analytics

Develop and implement advanced data dashboards, models and algorithms to analyze customer behavior, campaign performance and market trends.
Analyze large datasets to uncover insights and trends that drive strategic decisions across digital and traditional marketing channels.
Use statistical analysis and machine learning models to predict customer preferences, behavior and lifetime value.
Collaborate with the marketing team to provide data-driven insights that support campaign strategies and optimize digital content.

Generative AI for Marketing

Work closely with the marketing and tech teams to design and deploy generative AI models that help automate content creation, personalized messaging and product recommendations.
Implement generative models (such as GPT, GANs, or similar technologies) to generate creative content that aligns with brand voice and marketing objectives.
Research and explore the latest trends in generative AI to develop innovative solutions that improve marketing personalization and engagement.
Test and fine-tune AI models to ensure high-quality, scalable, and efficient output for marketing purposes.

Collaboration & Strategy

Partner with cross-functional teams (e.g., marketing, product, engineering) to align AI initiatives with business goals.
Communicate data insights, AI-driven findings, and model results to non-technical stakeholders clearly and effectively.
Work with creative teams to integrate data science and AI models into marketing content and campaigns seamlessly.

Ensure AI solutions meet ethical guidelines, are transparent, and offer insights that drive value for both the customer and the business.

About You

3-5 years of experience as a Data Analyst/Scientist, preferably with a focus on marketing, customer analytics or a related field.
Strong knowledge of machine learning algorithms, statistical modeling and predictive analytics.
Hands-on experience with Generative AI technologies (e.g., GPT, GANs, Transformers) for content creation, personalization or other marketing applications.
Proficiency in Python, R, or other data science programming languages and libraries (e.g. Pandas, Scikit-learn, TensorFlow, PyTorch).
Experience with marketing analytics tools (e.g., Google Analytics, Tableau, Power BI, SQL) and digital marketing platforms (e.g. Google Ads, Facebook Ads, Braze).
Strong understanding of data pipelines, cloud platforms (AWS, GCP, Azure) and big data technologies.
Experience with A/B testing and campaign optimization using data-driven insights.
Ability to live the Pepperstone values
Committed to ongoing learning and development

Skills & Competencies:

Problem-Solving: Ability to approach complex business problems with
analytical rigor and creativity.
Communication: Excellent communication skills to explain technical concepts to non-technical stakeholders.
Collaboration: Strong team player with the ability to work cross-functionally with different departments.
Attention to Detail: Ability to manage and prioritize multiple projects while maintaining high quality and accuracy.
Curiosity: A passion for exploring the latest in AI and marketing technology.

Why you will enjoy working with us

Competitive salary structure
Genuinely collaborative and friendly culture
Flexible and hybrid working
Remote working option - work from anywhere for up to 6 weeks per year, in addition to hybrid working as standard
Ongoing personal development & learning opportunities
Paid parental leave
3 paid volunteering days per year & Workplace Giving Program
24/7 support when you need it most - an Employee Assistance Program
Frequent events and celebrations

More About Pepperstone

We’re a regulated online Forex and CFD trading platform. With the scale of a global fintech and the agility of a start-up, we arm our clients with everything they need to take on the global markets with confidence. You will be part of a wider passionate and friendly team, and whilst things may not always go to plan, we learn quickly and move forward with impact. To learn even more visit Pepperstonecareers and www.linkedin.com/company/pepperstone/

We understand it’s important to do due diligence on a prospective employer, see what our team are saying on Glassdoor. We respect our team members’ experiences and will never pay to remove a negative review.

Pepperstone is an equal opportunity employer. We are passionate about building a diverse workplace and strongly encourage applications from any background.

“We are a 2025 Circle Back Initiative Employer – we respond to every applicant”.

We will be reviewing applications as they come through, so if this is an opportunity that excites you, don't wait. Express your interest by clicking the apply button below as soon as possible.

Note to external agencies: While we appreciate the efforts of external recruitment agencies, we prefer to engage directly with applicants for this opportunity.

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