Jobs at Ascent.io

Leads product and proposition development for banking, asset management, or private markets. Diagnoses complex client needs and designs integrated solutions combining financial services expertise, managed operations, data and technology transformation, AI, and external partners. Owns sector propositions, reusable product content and intellectual property, strategic opportunity shaping, account expansion, commercial logic, operating models, and proposal narratives while coordinating sales, delivery, strategy, technology, and partnership stakeholders.

Leads hands-on operational transformation across HR, Finance, Delivery, Commercial, Operations, and Technology. Identifies improvement opportunities, develops business cases, manages cross-functional dependencies, and drives implementation through measurable outcomes. Partners with senior leaders, facilitates decision-making, tracks benefits, and embeds sustainable operating model and process improvements. The role requires strong commercial judgment, analytical ability, stakeholder influence, and advanced PowerPoint and Excel skills.

Leads enterprise-wide transformation in financial services, translating strategy into change initiatives, operating models, business cases, and measurable value. Responsibilities include organisational change, commercial analysis, programme governance, risk management, executive engagement, stakeholder alignment, and benefits realisation. The role requires developing board-level presentations, managing complex portfolios, supporting implementation, and embedding sustainable operational and behavioural change.

The Senior Platform Engineer will design and optimize a platform using Python, DevOps, and ModelOps, managing application lifecycles and collaborating with teams for high-performance deployments.

Lead end-to-end fullstack and Generative AI solutions: architect, build, deploy, and operate production systems. Design LLM/RAG capabilities, own DevOps (CI/CD, IaC, containers, orchestration), drive technical proposals with customers, enforce engineering standards, and mentor engineers while supporting pre-sales and discovery.

Design, build and optimise scalable cloud-native data platforms and pipelines using Microsoft Fabric, Azure Databricks, Synapse and ADF. Implement ETL/ELT with PySpark and SQL, ensure data governance, performance, reliability, and collaborate with data scientists and engineers to deliver production solutions.

Lead end-to-end steering of technology projects and product management for financial-data solutions. Drive agile ways of working, capture and prioritise requirements, own the roadmap, manage stakeholders and customer meetings, and embed AI and transformation initiatives across teams and programs.