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Open nowPosted yesterday

Senior Business Analyst

Quantiphi77 open roles

Where
UK London
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Your applicationOpen nowSenior Business AnalystQuantiphi · UK London

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  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Quantiphi postings stay open a median of 56 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted yesterday

Quantiphi median: 56 days open

The posting

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc.

As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

Our industry recognition includes:

  • 21x Google Cloud Partner of the Year awards in the last 8 years.
  • 3x AWS AI/ML award wins.
  • 3x NVIDIA Partner of the Year titles.
  • 2x Snowflake Partner of the Year awards.
  • Top analyst recognitions from Gartner, ISG, and Everest Group.
  • Consecutive certifications as a Great Place to Work.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

Work Location: London, UK

Experience Level: 8+ years

Employment Type: Full time

Role Summary:

We are seeking an experienced and highly analytical Senior (Technical) Business Analyst to support a strategic insurance transformation program. The role will act as the critical bridge between business stakeholders and engineering teams, driving discovery, requirements definition, data mapping, and solution alignment across Claims, Underwriting, and Finance workstreams.

The successful candidate will combine strong business analysis skills with technical data expertise to translate complex business requirements into actionable functional specifications, source-to-target mappings, business rules, and validation frameworks.

Responsibilities:

  • Business Discovery & Requirements GatheringLead domain-specific discovery workshops and stakeholder interviews across Claims, Underwriting, and Finance functions. Elicit, analyze, and document business requirements, process flows, data requirements, and operational pain points. Facilitate requirements prioritization and ensure alignment with program objectives and business outcomes. Produce high-quality functional specifications, user stories, acceptance criteria, and process documentation.
  • Data Analysis & MappingDefine and document Source-to-Target Mapping (STTM) specifications for data migration, integration, and analytics initiatives. Translate business requirements into data transformation rules and logic. Analyze source systems and identify data quality considerations, business rule dependencies, and mapping complexities. Develop and maintain data lineage, data dictionaries, and metadata documentation.
  • Validation & Quality AssuranceDefine business validation checks and reconciliation rules to ensure data accuracy and completeness. Collaborate with testing teams to develop test scenarios, test cases, and business acceptance criteria. Support User Acceptance Testing (UAT) and validate delivered solutions against business expectations.
  • Stakeholder Management & CollaborationAct as the primary liaison between business Subject Matter Experts (SMEs), product owners, architects, and engineering teams. Facilitate workshops, requirement walkthroughs, backlog refinement sessions, and solution reviews. Resolve requirement ambiguities and drive consensus among cross-functional stakeholders. Communicate project progress, risks, dependencies, and key decisions to program leadership.
  • Agile Delivery SupportDrive program execution through Agile methodologies and support delivery teams throughout the project lifecycle. Conduct and facilitate Scrum ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, Backlog Refinement, and Retrospectives. Work closely with Product Owners and Scrum Masters to ensure timely and high-quality delivery. Support dependency management, release planning, and sprint tracking activities.

Required Skills:

Functional & Domain Expertise

  • Strong understanding of insurance business processes, preferably across:Claims Underwriting Finance and Accounting
  • Experience in insurance transformation, data migration, policy administration, claims management, or data modernization programs.
  • Ability to analyze complex business processes and translate requirements into technical solutions.

Technical Skills

  • Strong experience creating Source-to-Target Mapping (STTM) documents.
  • Understanding of data modeling concepts, ETL processes, APIs, integrations, and data transformation techniques.
  • Experience defining business rules, validation frameworks, and data quality controls.
  • Working knowledge of SQL and data analysis techniques.
  • Familiarity with cloud-based data platforms and modern data architectures is desirable.

Agile & Delivery

  • Practical experience working within Agile delivery frameworks.
  • Ability to manage competing priorities while maintaining delivery timelines and quality standards.
  • Experience using Agile delivery tools such as Jira, Azure DevOps, or similar platforms.

Competencies & Behaviours

  • Rapidly absorb new technical and business information and apply it effectively to solve complex challenges.
  • Take a structured, analytical, and systematic approach to problem solving.
  • Communicate clearly and confidently, both verbally and in writing, with technical and non-technical stakeholders.
  • Present complex technical concepts in a manner appropriate for diverse audiences.
  • Plan, schedule, and monitor work effectively to achieve time, quality, and delivery objectives.
  • Work with minimal supervision, exercising sound judgment and initiative under broad direction.
  • Drive delivery outcomes through collaboration, ownership, and proactive stakeholder engagement.
  • Maintain awareness of emerging technologies, industry trends, and best practices relevant to data and insurance transformation.
  • Take ownership of continuous professional development and knowledge sharing.

Preferred Qualifications:

  • Bachelor's degree in Business, Information Systems, Computer Science, Engineering, or a related discipline.
  • Professional certifications such as:IIBA CBAP / CCBA BCS Business Analysis Certification Scrum Master (CSM, PSM) SAFe Agilist or SAFe Practitioner
  • Experience working within the London Market Insurance ecosystem is advantageous.
  • Exposure to data platforms such as Google Cloud or equivalent cloud data technologies is preferred.

What is in it for you:

  • Be part of the fastest-growing AI-first digital transformation and engineering company in the world
  • Be a part of an energetic team of highly dynamic and talented individuals
  • Exposure to working with fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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