National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Business Analyst

Bishopsgate
3 weeks ago
Applications closed

Related Jobs

View all jobs

Business Analyst

Business Analyst

Business Analyst

Business Analyst

Business Analyst

Business Analyst (Admin and Clerical)

The primary objective of this role is to perform analysis, conduct testing, and manage assigned projects within the overall portfolio.
As a member of a dedicated, cross-functional Agile delivery team, there may be instances where you’ll be expected to step in for Product Managers/Owners temporarily, and on occasion, take on responsibilities typically associated with the Product Owner role for an extended period.
Key Responsibilities

  • Serves as a champion for Business Analysis within the organization, fostering a deeper understanding of the Business Analyst role.
  • Exhibits lateral leadership to guide the team toward achieving shared objectives.
  • Responsible for the successful delivery of personal tasks and enabling the completion of others' work.
  • Ensures that analysis follows the established process, maintaining the necessary quality standards and aligning with industry best practices.
  • Promotes a unified sense of identity and culture within the Business Analysis team.
  • Identifies opportunities to develop skills and knowledge, aligning them with the strategic roadmap and specific project assignments.
  • Provides KPI reports and other related information to management upon request, offering valuable input in the creation and tracking of new KPIs.
  • Manages projects in line with established project and product development protocols, offering support to others in doing the same.
  • Recommends improvements to structured product development and Agile methodologies, advocating for broader adoption.
  • Leverages experience with customer-driven initiatives based on needs, insights, and market testing, contributing valuable input to assigned tasks.
  • Acts as the point of contact for escalating project-related issues.
  • Documents business requirements and prepares other business-technical documents with high attention to detail and quality.
  • Takes a leading role in defining Epics, User Stories, and Acceptance Criteria for assigned projects, ensuring a collaborative and inclusive approach.
  • Analyzes stakeholder-supplied information critically, offering constructive feedback when needed.
  • Contributes to the creation of Business Cases, verifying the accuracy of source materials and challenging inputs as necessary.
  • Troubleshoots issues and provides support for troubleshooting efforts, ensuring effectiveness.
  • Maintains a commercially-driven, results-focused mindset, always looking for ways to optimize projects for the highest return on investment
    Technical Knowledge
  • Industry messaging protocols such as FiX, ISO15022, ISO20022, XML, JSON, CSV
  • Business Process Modeling Notation
  • UML
  • Data modeling
  • SDLC within an Agile environment
  • BDD and use of Gherkin syntax
  • Microsoft Office Suite
  • Enterprise Architect
  • Salesforce
  • SQL Server
    Business Knowledge
  • Key roles and stakeholders in the distribution process and functions within an organization and its wider ecosystem
  • Processes throughout the lifecycle of products
  • Different types of financial products and regulatory framework and the role of the regulator
  • Market practices and trends
  • CISI Investment Operations Certificate
  • Project and problem management methodologies and techniques
  • Business analysis methodologies and techniques
  • BCS Business Analysis Diploma
    A high level of knowledge is expected across all areas within the remit including detailed knowledge in specific areas based on the assigned projects
National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.