Lead, oversee and co-ordinate the engineering backlog, working with the product owner assigned to the Capital Markets delivery team(s).
Support and challenge to ensure ways of working are fully adopted and analysis activities completed in line with sprint plans.
Develop strong relationships with key business stakeholders and other colleagues to elicit requirements and subsequently update on requirements evolution in a business focused way.
Support and host discussions within a multidisciplinary team, with potentially difficult dynamics.
Support the project manage(s) / delivery managers(s) to regularly asses the progress and effectiveness of the discovery and analysis effort, taking interventions as needed to deliver work to agreed timescales and quality.
Create artefacts supporting agile ways of working e.g. user stories with acceptance criteria (JIRA)
Create and maintain good quality stores of business knowledge and information (JIRA, Confluence, SharePoint etc
Work with the product owner to prioritise the backlog
Support delivery teams by communicating effectively within an agile delivery framework
Identify and document risks, issues and dependencies that are likely to affect the delivery of requirements
Support the development of sustainable, commercially viable change solutions with clear linkages to Asset Management goals and objectives – end to end (i.e. discovery, analysis/design, build, test and business readiness)
Provide oversight and advice to other team members involved in the delivery of data and reporting solutions
Share knowledge and education amongst the Business Analyst community and wider teams
Manage the workload for the squad driving effective and efficient delivery of work packages.
Provide timely, accurate and transparent MI that enables the throughput of the squad be managed an provide a key input into work scheduling and where appropriate prioritisation.
Requirements
Significant years working in the Asset management, banking, pensions and finance / asset management industry and highly regulated environments.
front-office experience and Aladdin ecosystem
Delivery hands on experience – working closely with Front Office / Quant teams to ensure successful outcomes.
Direct experience with datasets relating to investment, asset data, including derivatives i.e. trade lifecycle
Experience working with Front, Middle and Back Office teams to gather and interpret business process and technical requirements
Understanding of the key concepts of Technical Engineering
Relevant experience working as part of an agile team – end to end i.e. discovery, analysis/design, build, test and business readiness
Experience engaging with third party vendors and collaborating on joint technology solutions
Great stakeholder management and engagement skills
Excellent communication, influencing and facilitation skills, in particular for problem solving and troubleshooting activities, ability to communicate effectively in a technical and non-technical ways.
Ability to demonstrate resilience, flexibility and adapt to changing schedules and priorities
Experience of using Microsoft office tools to an advanced standard
Knowledge of Agile methodologies and tooling to support agile delivery of projects (e.g. Jira/Confluence)
Experience in modern ways of working (examples include Agile, CI/CD, DevOps, Test Automation)
Understanding of data concepts e.g. Data Management/Governance
Understanding of architecture and design concepts for data exploitation solutions
Experience using technologies includes Analytics (E.g. R & Python), Reporting (E.g. Quicksight, Tableau, Qlik, Power BI) & APIs
Demonstrable expertise in the areas of business analysis in large complex IT estates
Membership of a professional body
Degree in Computer Science, Technology or Engineering or similar
Customer focused with an attitude to deliver excellent customer outcomes through technical expertise
Problem solving, analytics and resolution skills
Strong verbal and written communication skills
Demonstrated ability to communicate effectively across teams
Ability to operate in cross-functional and multidisciplinary teams
Ability to learn new technologies. Continuously strives to learn and make time for self-development.