Top Tech Jobs & Startup Jobs in London

Oversee NAV processes and fund financial reporting produced by third-party administrators across private-market fund ranges. The role performs risk and error validation, investigates control failures, supports remediation, designs NAV checks, reviews reconciliations and fund agreements, and provides technical accounting expertise for fund launches, integrations, restructurings, and regulatory change. It acts as a subject matter expert on fund accounting, costs and charges, governance, complex assets, and valuation methodologies while managing internal and external stakeholders.

Manages a panel of national advice firms, using telephone, Teams, and occasional face-to-face engagement to achieve sales targets. Develops adviser relationships, identifies growth opportunities, supports financial product distribution, documents activity in Salesforce, and maintains compliance with regulatory and risk requirements. Collaborates with sales, account relationship, and cross-functional teams to improve client outcomes and support M&G Life’s growth ambitions.

Owns end-to-end delivery of medium to highly complex change and transformation projects within M&G’s Life business. Responsibilities include defining business cases, managing scope, resources, budgets, risks, governance, stakeholders, suppliers, and benefits realization. The role leads project teams, maintains plans and documentation, reports progress, manages issues and dependencies, supports regulatory change delivery, and coaches other project managers.

Lead enterprise architecture and technology strategy for investments, ensuring solutions align with business objectives and target architecture. The role oversees data strategy execution, solution architecture guidance, systems reviews, technology research, alternative analyses, regulatory impact assessment, and strategic project input. It requires deep asset management technology knowledge across public and private markets, strong solution architecture and SDLC experience, expertise with enterprise architecture repositories, and at least 15 years of experience delivering operational and cost-efficient business value.

Conduct leveraged finance and private credit research to support investment and credit decisions. Evaluate loans and direct lending investments, build financial models, assess credit risk and ESG factors, review legal documentation, monitor portfolios, and make purchase, hold, or sell recommendations. Prepare investment submissions, present to credit committees, engage with company management, and collaborate with fund managers and analysts. Support junior team members and continuous improvements while complying with policies and regulations.

Own the roadmap, backlog, requirements, prioritization, adoption, and business outcomes for investment-focused data products. Partner with stakeholders across investment, client, operations, risk, and regulatory reporting to define trusted, governed, AI-ready data products. Translate ambiguous needs into requirements, data definitions, acceptance criteria, and quality rules while collaborating with engineering, analytics, and AI teams. Drive adoption, measure value, manage dependencies, and make clear value-based scope decisions.

Leads the strategy, architecture, transformation, service resilience, data enablement and investment governance for M&G’s Private Markets technology platform. Partners with investment and technology executives to establish roadmaps, simplify workflows, integrate acquisitions, govern vendors, manage budgets and strengthen cybersecurity, operational resilience and data quality. Builds a globally distributed multidisciplinary organization with strong engineering, delivery and service capabilities across private credit, structured finance, private equity, infrastructure and real estate.

Lead the design and delivery of governed data products and pipelines on a Snowflake-centric platform. Provide hands-on technical leadership to distributed data engineering teams, establish engineering standards, build AI-ready semantic data products, embed quality and observability controls, and migrate legacy platforms. The role requires strong financial services data knowledge, cloud and modern data architecture expertise, mentorship capabilities, and experience optimizing scalable, production-ready data solutions.

The Solution Designer translates corporate function business needs into secure, sustainable technology solutions. Responsibilities include designing applications, integrations, data, and security components; aligning solutions with enterprise architecture and governance standards; assessing options; managing risks and dependencies; collaborating with stakeholders, architects, engineers, and delivery teams; and supporting implementation. The role requires finance and data technology architecture experience, including Oracle Fusion, EPM, Azure data tooling, data modeling, and data governance.

Leads the data engineering function across London and India, owning Snowflake-centric platform architecture, ingestion, transformation, governance, observability, and reusable data products. Builds AI-ready semantic models, modernizes legacy platforms, manages migrations, optimizes costs, and embeds security and compliance controls. Develops a high-performing engineering team and establishes standards for DataOps, CI/CD, data quality, lineage, and scalable data delivery across investment, reporting, regulatory, and AI use cases.