Digital Marketing Executive/ Senior Executive/ Assistant Manager

iFAST Global Bank Ltd
London
3 months ago
Applications closed

Related Jobs

View all jobs

Digital Marketing Executive (CRO)

Senior Data Science Director, London

Product Director - Digital Health

Senior Product Manager - AI, ML & Data Science

Senior Product Manager - AI, ML & Data Science

Senior Product Manager - AI, ML & Data Science

We are seeking an energetic, result-driven, and detail-oriented marketer who thrives in a fast-paced environment, enjoys data analysis, and proactively explores business growth opportunities. The ideal candidate will lead key marketing initiatives with a strong focus on SEO, content creation, and digital advertising strategies to drive brand growth and customer engagement.

MAIN OBJECTIVES:

The primary responsibility of the Digital Marketing Executive / Senior Executive / Assistant Manager is to develop and execute comprehensive marketing strategies, focusing on a variety of digital channels to achieve business objectives. This role will oversee the development of high-quality content across platforms, ensuring it is aligned with the brand and optimised for engagement.

In addition, this role involves managing paid advertising campaigns, such as Google Ads and social media ads, to achieve maximum ROI. The candidate will be responsible for crafting and implementing social media strategies to enhance brand visibility and engagement.

A key aspect of the role will be KOL (Key Opinion Leader) management, building relationships with influencers to boost the brand’s exposure and credibility. The candidate will also design and launch a “members-get-members” referral programme to stimulate word-of-mouth marketing, supporting customer acquisition and loyalty.

Furthermore, this position involves designing and launching a “members-get-members” referral program to stimulate word-of-mouth marketing, with the goal of driving customer acquisition and loyalty. To scale up word-of-mouth effects on a large scale, the role will develop and implement a variety of programs aimed at increasing account openings and deposits, leveraging customer networks to expand reach and influence.

As the business is in a growth phase, the person in this role should be prepared to build initiatives from the ground up, as there is limited pre-existing knowledge or framework to rely on.

MAIN DUTIES

  • Plan and execute marketing campaigns across digital marketing, branding, PR and event.
  • Liaise with internal teams and external vendors to implement marketing programmes.
  • Track programme results and conduct detailed performance analysis for continuous improvement.
  • Manage marketing channels for promotions on online and offline platforms, including Facebook, Instagram, YouTube, Google, X, and the website.
  • Assist in digital marketing efforts, such as website optimisation, SEO, SEM, email marketing, influencer marketing, social media marketing, and enhancing UX/UI.
  • Organise and execute events, including CSR events, symposiums, seminars, exhibitions, and briefing sessions.
  • Coordinate operational and marketing efforts to boost brand awareness and engagement.
  • Collaborate with designers to plan and develop creative marketing materials.
  • Handle ad-hoc projects as required.

Requirements

EDUCATION & TRAINING

  • Ideally educated to degree level in a marketing, data science or business-related discipline, with demonstrable relevant experience.

EXPERIENCE & SKILLS

  • 0 to 3 years’ experience in marketing fields related to the banking or industry.
  • Demonstrable experience of providing innovative and creative ideas to drive and increase revenue growth.
  • Excellent communication skills, including written and spoken English.
  • Strong customer services and relationship management skills.
  • Ability to work with MS office packages (Word, Excel, PowerPoint, and Outlook).
  • Carry SEO skillsets including GA4, Appflyers, etc

Benefits

  • 25 days annual leave entitlement plus 8 bank holidays
  • Pension scheme, 4% employer contribution
  • Private Medical Insurance
  • 60-40 Hybrid working after successful probation period
  • Training and development
  • Free gym access in the building

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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.