Jobs at Standard Life

Product Feature Designer responsible for researching user needs, designing intuitive UX/UI for a complex data-rich pension application, and translating validated designs into deliverable features. Duties include journey mapping, prototyping in Figma, usability testing, accessibility compliance, user-story definition, acceptance criteria, and collaboration with product owners, engineers, and business stakeholders in an agile environment.

Lead business analysis for complex pension risk transfer change and proposition development initiatives. Define business outcomes, user journeys, requirements, process maps, features, user stories, and acceptance criteria. Facilitate stakeholder workshops, influence senior leaders, support product backlog refinement and sprint planning, and provide practical recommendations. Manage risks, issues, dependencies, traceability, and progress reporting while working autonomously across agile business and delivery teams.

Lead the ownership, strategy, and optimization of enterprise data engineering platforms, including Databricks and Azure. Design scalable cloud data architectures, pipelines, and infrastructure; automate deployment and testing through CI/CD; embed security and engineering best practices; and support operational and analytical workloads. Provide technical leadership, mentorship, roadmap ownership, and cross-functional collaboration with cloud engineers, data scientists, software engineers, and senior stakeholders.

Leads the design, planning, governance, and delivery of people transformation projects and workstreams. Responsibilities include developing business cases, managing budgets up to £5 million, resources, risks, stakeholders, suppliers, documentation, and project teams. The role ensures compliant delivery, effective change adoption, project reviews, lessons learned, and escalation of issues. It also involves cross-functional collaboration, relationship building, decision-making, and occasional coaching or line management.

Designs, builds, and reverse engineers data models, metadata systems, and scalable data platforms for asset management. Translates business needs into logical and physical models, supports delivery teams, and advises architects and engineers. Responsibilities include data profiling, governance, data dictionaries, information standards, architectural oversight, and semantic modeling in Snowflake for AI and Power BI. The role also requires stakeholder engagement, participation in governance forums, and support for multiple agile projects.

Lead the development and evolution of workplace pension propositions, translating complex regulatory, technical, and market requirements into clear solutions. Collaborate with internal teams, advisers, trustees, and specialist partners to support member outcomes, growth, and retention. Manage strategic and bespoke proposition initiatives, governance priorities, risks, and delivery activities while influencing senior stakeholders and mentoring colleagues.

Provide first-line support for trading and financial applications, troubleshoot technical issues, monitor system performance, manage user access and permissions, assist end-users, and maintain technical documentation. The role offers opportunities to develop expertise in financial technology, trading platforms, and financial markets while collaborating with experienced support professionals.

Designs, develops, and delivers accessible digital and blended learning solutions across the full learning lifecycle. The role consults with stakeholders, creates e-learning using Articulate 360, manages learning technologies including Oracle Learn and Oracle Grow, analyzes learner data, applies AI and automation, and develops standards for scalable learning. It also coaches subject matter experts, supports learning communities, and ensures regulated learning records and controls are maintained.

Produce, validate, and distribute investment asset reports supporting governance, operational decisions, and regulatory requirements. Analyze large datasets, investigate anomalies, resolve data-quality issues, and maintain reporting controls and documentation. Collaborate with investment, middle-office, and data-governance teams on requirements, system changes, dashboards, testing, and process improvements. Use SQL, advanced Excel, and Power BI to enhance reporting accuracy, efficiency, and automation within a regulated financial-services environment.

Lead quantitative investment research, portfolio construction, strategic asset allocation, and long-term fund design. Build Python-based models and analytical tools using optimisation, stochastic modelling, Monte Carlo simulation, statistical analysis, factor analysis, and scenario modelling. Translate research into evidence-led investment strategies, validate and govern models, shape the quantitative research agenda, and provide technical leadership across investment and stakeholder teams.

Lead end-to-end technology solutions for B2B and retail intermediary digital initiatives. Translate business priorities into technical designs and delivery plans across digital applications, APIs, integrations, data, cloud services, core platforms, and suppliers. Provide technical leadership, manage dependencies and risks, promote secure engineering and DevSecOps practices, ensure resilience and regulatory compliance, guide governance, and coach engineers and technical leads.

Develop and maintain Standard Life’s Solvency II credit risk internal model. Responsibilities include model calibration and validation, regulatory compliance, methodology changes, capital efficiency improvements, governance approvals, documentation, and stakeholder education across Asset Management, Risk, and Finance.

Leads post-transaction pricing and ongoing management of Bulk Purchase Annuity transactions. Responsibilities include cash flow and actuarial modelling, GMP equalisation and buyout transition support, managing bespoke requests, maintaining models, meeting contractual deadlines, and coaching junior colleagues. The role requires confident stakeholder communication, strong technical knowledge of defined benefit pensions, and expertise in actuarial methodologies, Solvency II, Matching Adjustment, and bulk annuity pricing.