Digital Marketing Executive/ Senior Executive/ Assistant Manager

iFAST Global Bank Ltd
London
11 months ago
Applications closed

Related Jobs

View all jobs

Head Of Data Science

frog - Senior Consultant - Data Science (Customer Data)

Head of Machine Learning

Head of Artificial Intelligence Impact

frog -Managing Consultant - Data Science (Customer Data)

Data Scientist

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

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 Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.