Client Delivery Advocate - Analyst

iCapital
Edinburgh
10 months ago
Applications closed

Related Jobs

View all jobs

Beacon Support Worker - Victims

Senior Content Designer

Junior Sales Engineer

Senior Data Delivery Project Manager - Insurance/Financial Services

Head of Data

AI Developer - Remote - £50k

Responsibilities

Financial Reporting and Data Aggregation tools: Analyze and explain portfolio performance results. Conduct account level reconciliation, including research and resolution of all breaks, cancels, corrects. Analyze private equity and hedge fund statements for input into the system. Consolidate data from multiple sources and custodians. Provide accurate and timely statements and data entry. Generate reports as needed. Work with clients and partners to resolve data issues. Develop and strengthen client relationships via client onboarding, client account setup and training, day-to-day support, and issue management. Maintain software maintenance, system setup and configuration, which includes new client setup, new financial account and asset set-up and classification, assisting in data feed management, creating custom reports based on client-specific needs and liaise with the vendor partners for enhancements, and system and data issues. Work with the team to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications. Establish operational effectiveness through the development and adoption of policies, procedures, and controls.

Qualifications

Bachelor's degree with a concentration in finance, computer science, statistics, mathematics, data science, or a similar field Excellent customer relations skills Able to foster and maintain effective relationships Proactively assess and act upon client and company needs Well-organized and self-motivated with the ability to prioritize tasks and meet deadlines Highly attentive to detail and accuracy while maintaining an organized approach to duties and responsibilities Comfortable with technology, software tools and applications and able to learn new software quickly; Strong MS Excel and PowerPoint skills, basic knowledge of database concepts, and any type of programming and a working knowledge of Photoshop, HTML design, or similar tools Knowledge of liquid investments such as Equities, Bonds, ETFs, Mutual Funds, SMA/UMA, alternative investments, performance reporting calculations and methodologies, portfolio management and rebalancing, as well as how RIA investment advisors work Critical thinker that possesses strong-problem-solving skills and can summarize information clearly and concisely, both written and verbally Devotion to collaboration and ability to thrive in a team environment while working independently

Benefits

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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.