Data Analyst - GCC based Family Office

Delta Executive Search
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst (Audit)

Data Analyst (Product Supply)

Background:

Reporting to the Chief Investment Officer within a Global Family Office based in the GCC, the Data Analyst will extract data related to our investments from multiple sources, organise this data, process it, clean it, and validate it. The objective is to present this data in a clear, accurate and exhaustive manner in order to facilitate timely investment decisions. It is also of utmost importance to preserve the confidentiality of this data.


Roles & Responsibilities:

  • Enhancing data collection procedures in their DAPM system to include information that is relevant for building analytic systems and managing our portfolio of investments
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Data mining using state-of-the-art methods and extending company’s data with third party sources of information when needed
  • Investigating and interpreting data to identify actionable insights and opportunities for improvement of the performance of our portfolio of investments
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Presenting findings and recommendations to stakeholders in a clear and concise manner
  • Protecting data to ensure its confidentiality to the most stringent standards and divulging information on a need-to-know basis only.


Your profile

  • A bachelor’s or master’s degree in data science, computer science, statistics or a related field
  • 5+ years of experience, with a minimum of 3 years in the financial industry
  • Proficiency in programming languages such as R or Java
  • Prior experience of the DAPM system a plus
  • Good applied statistics skills such as distributions, statistical testing, regression, etc.
  • Experience with data manipulation, cleansing, and analysis using tools such as SQL, Excel and other statistical software
  • Understanding of Machine learning techniques and algorithms (K-NN, Naïve Bayes, SVM, etc.)

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.