Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Client Delivery Advocate - Analyst

iCapital
Edinburgh
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Consultant Data Scientist

Senior Consultant Data Scientist

Senior Machine Learning Engineer

Principal Machine Learning Engineer

Senior Data Scientist

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.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.