Technical Business Analyst

Aiviq

About Aiviq Aiviq is a fintech company transforming how asset managers globally process, analyse, and leverage their data. Our solutions power critical business processes for leading financial institutions worldwide, helping them drive efficiency and growth. Position Overview As an experienced Technical Business Analyst within the Professional Services department at Aiviq, you will take a hands-on role in the execution of implementation projects to new and existing Aiviq clients. You'll collaborate with our Sales, Product Management, Engineering and Services teams to deliver on global implementations while ensuring technical excellence throughout multiple project lifecycles. Core Responsibilities Technical Design & Problem Solving * Receive and execute on work packages for client implementation under the supervision of a Project Manager. * Understand the client data sources at a business and technical level and build data connectors for ingesting that data into the Aiviq solution, * Assist the Project Manager in appropriate product and data scope requirements for new client engagements and in defining suitable acceptance criteria. * Contribute innovative ideas to advance the Professional Services offering * Create high-quality technical documentation for client specific implementation work. * Define and execute on suitable test criteria for ensuring successful completion of project tasks. * Conduct sophisticated data analysis to draw out potential problems in implementations or to innovate in improvement to the implementation process. * Demonstrate advanced SQL and Python skills * Work with Engineering and QA on the reporting of, resolution and client side testing of bugs and issues.   Your Qualifications Required Experience * 3+ years in technical business analysis, preferably in financial services * Advanced SQL skills (Python, C# and .NET also relevant) * Database design and architectural expertise * Ability to grasp new business data domains quickly * Excellent communication skills for global stakeholder engagement * Agile development methodology experience Desired Experience * Experience with financial reporting or revenue management systems * Testing experience across complex rules engines and financial data * Experience with AI/ML implementation and/or BI/reporting solutions * Experience with Azure or other relevant cloud-based solutions What Sets You Apart * Excellent technical problem solving skills * Ability to communicate complex business or technical issues with key stakeholders * Full data literacy with ability to draw meaningful conclusions quickly * Excellence in client interaction across global markets * Track record of bringing innovation within a professional services environment * Ability to bridge technical and business requirements   What We Offer * Opportunity to shape a growing professional services operation. * Career growth within a globally expanding fintech * Collaborative, innovation-focused environment * Competitive compensation package * Professional development support   Aiviq is an equal opportunity employer and values diversity in our workforce. This role will be located in London although we are a hybrid team with frequent remote working and broader flexible working options available.

Aiviq

Aiviq is a fintech company transforming how asset managers globally process, analyse, and leverage their data. Our solutions power critical business processes for leading financial institutions worldwide, helping them drive efficiency and growth.   Position Overview As an experienced Project Manager within the Professional Services department at Aiviq, you will take the lead in the oversight of implementation projects to new and existing Aiviq clients. You will collaborate with our Sales, Product Management, Engineering and Services teams to deliver on global implementations while ensuring a high standard in the tracking and delivery of projects on time and on budget.   Core Responsibilities * Running a multi-phase (Solution Design, Development, Test and BAU transition) project working with internal Product and Professional Services BA resources as well as client Business, Tech and Change teams. * Act as the primary point of contact for client resources for the duration of a given implementation, which includes an understanding of product features, data concepts and challenges to client resources. * Managing all aspects of the project from initiation to close including planning, risk and issue management (both internal and client facing), dependency management, testing, budget tracking and change management including commercial discussions where scope changes are necessary. * Undertaking some BA or data analysis work where this is not undertaken by the project Technical BA. * Managing both internal and client facing status reporting, and giving regular updates. * Production of high-quality project deliverables and PowerPoint presentation decks. * Having a commercial awareness of the project and escalating to the Head of Professional Services as required. * Being able to work in Agile, Waterfall or Hybrid projects depending on internal and client requirements. * Chairing project stand up and steering committee meetings including the production of necessary material and collecting and sharing the agreed actions. * Scope management and running of the Change Request process * Client stakeholder and expectation management – both of project delivery and also client deliverables and client internal change. Occasionally the successful candidate may be requested to undertake additional internal responsibilities, including: * Supporting the Head of Professional Services with future project implementation planning or estimation. * Working with the Head of Professional Services to streamline, simplify and standardise the implementation process. * Project Management of internal projects or RFP processes.   Your Qualifications Required Experience * 3+ years of project management in FinTech or consultancy related roles * Ability to grasp new business data domains quickly * Excellent communication skills towards project stakeholders * Familiarity with Agile and Waterfall project management methodologies * Experience in handling challenging conversations with clients Desired Experience * Broad knowledge of the asset management industry and knowledge of key business functions. * Formal Project Management training (PMP, Prince2 Agile, etc.) What Sets You Apart * Excellent problem solving skills * Ability to communicate complex business or technical issues with key stakeholders * Excellence in client interaction * Track record of bringing innovation within implementation projects * Ability to bridge technical and business requirements   What We Offer * Opportunity to shape a growing professional services operation. * Career growth within a globally expanding fintech * Collaborative, innovation-focused environment * Competitive compensation package * Professional development support   Aiviq is an equal opportunity employer and values diversity in our workforce. This role will be located in London although we are a hybrid team with frequent remote working and broader flexible working options available.

Alpha FMC

ABOUT AIVIQ Aiviq is a cutting-edge fintech company revolutionising financial services and asset management. We empower the world's leading asset managers with data-driven insights and innovative technology solutions. Our cloud-based platform transforms complex financial data into actionable intelligence, addressing critical challenges in client data quality and insights. Serving global asset managers overseeing trillions in Assets under Management, we're at the forefront of financial technology innovation. Reporting Structure Reports to: Data Centre of Excellence Team Lead Dotted line to: Head of Engineering Location: UK (Hybrid) Job Purpose We're seeking an accomplished Data Engineer to join our Data Centre of Excellence while working closely with our Engineering team on our sophisticated financial data management platform. This role combines the technical depth of enterprise data engineering with the fast-paced delivery demands of product development, requiring someone who is adept at translating business logic into code, can think architecturally while attending to implementation details. You'll be the bridge between our data architecture standards and practical product delivery, ensuring our financial data pipelines are robust, performant, and built on solid engineering principles. Key Responsibilities Data Engineering & Development * Design, build, and optimize data pipelines across Microsoft SQL Server and Azure Synapse Analytics environments * Develop and maintain Spark SQL notebooks for complex data transformations and analysis * Translate business logic and financial calculation requirements into clear, maintainable code * Create data integrity checking scripts and validation frameworks in collaboration with QA teams * Implement automated data quality checks and reconciliation processes * Assist with the maintenance of a curated, anonymized dataset for system testing that covers all known scenarios and edge cases * Analyse production datasets to identify anomalies, debug stored procedures and notebooks, and resolve data quality issues * Demonstrate tenacity in investigating root causes, diving deep into complex problems until resolution is achieved Architecture & Performance * Consult on database architecture decisions, balancing performance, scalability, and maintainability * Optimize query performance and data processing workflows for large-scale financial datasets * Design and implement solutions using Azure Data Factory, Delta Lake, and related technologies * Think end-to-end about data flows while ensuring rigorous attention to implementation details Documentation & Process * Create and maintain comprehensive documentation of database schemas, processes, and data flows * Develop visual process models using tools such as Lucidchart, Visio, dbt, Azure Purview, or similar platforms * Document data transformation logic and calculation methodologies for audit and compliance purposes * Contribute to data governance standards and best practices across the organization Production Support & Collaboration * Act as first point of escalation for high-priority data issues in production environments * Partner with test automation engineers to develop data-driven testing strategies and create data integrity checking scripts * Collaborate across engineering teams using Azure DevOps for CI/CD pipeline development * Support both Data CoE initiatives and product engineering priorities through effective stakeholder management Required Skills & Experience Technical Expertise * Database Technologies: Strong proficiency in MS SQL Server and Azure Synapse Analytics * Big Data Processing: Hands-on experience with PySpark, Spark SQL, and notebook-based development * Cloud Platforms: Demonstrable experience with Azure ecosystem (Synapse, Data Factory, Delta Lake) * Programming: Solid coding skills in SQL, Python, and/or C# * Version Control: Experience with Git and Azure DevOps or similar CI/CD platforms * Testing: Experience building out unit and integration test frameworks and processes to ensure pipelines and notebooks and other code artefacts are fully automation-tested Domain Knowledge * Ideally a proven track record working with complex financial data and calculations * Understanding of financial data structures, reconciliation processes, and audit requirements * Experience handling temporal data, slowly changing dimensions, and historical data management * Knowledge of data quality frameworks and validation methodologies Professional Capabilities * Strong analytical and debugging skills for complex data scenarios across stored procedures and notebooks * Relentless problem-solving approach - comfortable digging deep into technical issues and pursuing answers until problems are fully understood and resolved * Experience with testing principles and data integrity validation * Ability to consult on technical architecture while maintaining pragmatic focus * Excellent documentation and process modelling capabilities Experience Level * 5+ years in data engineering roles with increasing responsibility * Track record of delivering production data systems at scale * Experience working in matrix or cross-functional team structures Desirable Skills * Knowledge of Azure Purview or data cataloguing solutions * Familiarity with Great Expectations or similar data quality frameworks * Understanding of behaviour-driven development for data testing * Familiarity with data anonymization, masking, and synthetic data generation techniques * Experience with GraphQL APIs and modern application data layers * Exposure to modern data visualization tools (Power BI, Tableau) * Experience with data build tool (dbt) or similar transformation frameworks Personal Attributes Essential * Collaborative mindset: Comfortable working across teams with different priorities and technical backgrounds * Detail-oriented: Meticulous about data accuracy while maintaining delivery momentum * Investigative nature: Thrives on troubleshooting complex issues and pursuing problems through multiple layers until fully resolved * Intensely curious: Demonstrates deep curiosity about existing processes and systems, with a natural drive to investigate how things work and independently acquire new knowledge * Pragmatic problem-solver: Balances architectural thinking with practical implementation * Clear communicator: Articulates technical concepts to both specialist and generalist audiences * Ownership mentality: Takes responsibility for production systems and follows through on commitments Cultural Fit * Thrives in a matrix organization with multiple stakeholders * Comfortable with ambiguity and competing priorities * Passionate about engineering excellence and continuous improvement * Values documentation and knowledge sharing * Responds well under pressure during production incidents What We Offer Professional Development * Exposure to enterprise-scale financial data systems handling complex calculations * Opportunity to shape data engineering standards across the organization * Work with modern Azure cloud infrastructure and emerging technologies * Collaborate with skilled engineers across test automation, software development, and data teams * Matrix structure providing diverse learning opportunities from both CoE and product perspectives Work Environment * Hybrid working arrangement with flexibility * Collaborative engineering culture valuing quality and craftsmanship * Investment in tools, training, and professional growth * Meaningful work on systems that impact financial data integrity and business decisions