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

Apply Now

Business Analyst - Data modernisation & Fund Accouting

City of London
8 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst – Microsoft Fabric - SC Cleared

Consultant, Data Science and Business Analyst, AI & Data, Defence & Security

Consultant, Data Science and Business Analyst, AI & Data, Defence & Security

Consultant, Data Science and Business Analyst, AI & Data, Defence & Security

Data Analyst – BI & Dashboards for Infrastructure Projects

Data Governance Analyst — Chief Data Office

Are you a highly skilled Business Analyst with a passion for data and experience in the fund accounting and financial reporting world? A leading global financial institution is seeking a talented individual to join their high-performing data modernisation team in Canary Wharf.

About the Role:

This 6-month contract offers you the chance to play a key role in delivering and improving data product availability for various business units. You'll be working in an Agile environment, collaborating closely with operational teams and leveraging your expertise to enhance the client experience.

Key Responsibilities:

Analyse domain data and operational processes, focusing on areas like Fund Accounting, Financial Reporting, and Regulatory Reporting.
Collaborate with business, technology, and architecture teams to develop data products and contribute to strategic decision-making.
Elicit and document functional requirements, create user stories, and oversee the development and implementation of new functionality.
Perform user acceptance testing and support the rollout of new data solutions.
Act as a subject matter expert on specific applications, documenting and developing a knowledge base.
Collaborate with upstream and downstream teams to solve data challenges and deliver global solutions.

Essential Skills and Experience:

Proven experience as a Business Analyst with strong analytical and problem-solving skills.
Solid operational background in fund administration or financial reporting.
A good understanding of Invest One accounting platform and Passport reporting system (or similar financial systems).
Hands-on experience with Azure and Snowflake cloud data technologies.
Excellent communication and interpersonal skills to effectively work with technical and non-technical teams.
Strong organisational and time management skills, with the ability to work independently and prioritise tasks. Benefits:

Competitive Rate: £750 per day (umbrella)
Dynamic Environment: Be part of a high-performing, Agile team driving data transformation.
Global Impact: Contribute to solutions used by a leading financial institution with a global presence.
Prime Location: Work in Canary Wharf, a vibrant financial hub in London.If you're a proactive and results-oriented BA ready to make a real impact, apply now! Please submit your CV and a cover letter highlighting your relevant experience.

Randstad Technologies is acting as an Employment Business in relation to this vacancy

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.