Top Tech Jobs & Startup Jobs in London

Leads quantitative research for a crypto investment desk, overseeing strategy development, validation, deployment, risk management, portfolio construction, and research infrastructure. Establishes rigorous standards against overfitting and backtest bias, monitors live performance, manages exposure and drawdown limits, and evaluates liquidity and venue risks. Builds and mentors the quantitative research team, recruits researchers, allocates resources, and collaborates with trading, portfolio management, technology, and senior management.

Develop and maintain Java and Kotlin software for a collateral management platform supporting 24/7 trading. Contribute to distributed, real-time, event-driven systems; trading venue integrations; reference data frameworks; and accounting pipelines for traditional and digital assets. Debug production code, build new functionality, participate in code reviews, and collaborate with experienced engineers while learning financial market infrastructure.

Lead commercial distribution for a new UK business connecting high-net-worth individuals and family offices with private credit and private-markets investments. Responsibilities include originating investor opportunities, managing the full sales process through close, leveraging an established network, presenting investment propositions, building a disciplined pipeline, and establishing scalable sales processes. The role requires substantial UK wealth-distribution experience, proven investment-product placement success, and strong relationships across family offices, wealth managers, and IFAs.

Reviews and controls fund NAVs, reconciliations, capital activity, expenses, valuations, and investment accounting across alternative credit, venture capital, quant, and tokenisation strategies. The role analyzes complex datasets, coordinates with administrators and auditors, supports fund audits, improves processes, and partners with Technology to automate workflows and strengthen controls using Excel and VBA.

Develop and deliver portfolio risk analytics for asset-backed finance strategies, including exposure, concentration, performance tracking, stress testing, monitoring, and reporting. Build production-ready analytics code, document models, improve data quality and reconciliation, and support regulatory, audit, and governance reporting. Translate risk and business requirements into actionable insights for investment, portfolio management, capital markets, and investor relations stakeholders.

Develop and deliver portfolio risk analytics for asset-backed finance strategies, including exposure analysis, concentration monitoring, performance tracking, stress testing, outlier investigations, and reporting. Build production-ready Python analytics, improve data quality and scalability, reconcile heterogeneous datasets, and automate reporting. Collaborate with Risk, Investment, Technology, Capital Markets, and Investor Relations teams while supporting portfolio construction, regulatory reporting, audits, and governance processes.

Conduct quantitative analysis of live and historical digital-asset market data, develop and backtest trading signals under realistic execution constraints, support cross-exchange arbitrage and basis strategies, build production-quality research tooling, and present findings to traders and researchers.

Build, maintain, and scale a multi-venue collateral management platform and related reference data and accounting systems. Design resilient, real-time event-driven distributed systems, integrate trading venue data, contribute to architecture, and own production delivery and support.

Lead research, development, deployment and real-time management of systematic high- or mid-frequency crypto trading strategies. Own a dedicated P&L-driven risk book, manage position sizing, exposures, drawdowns and capital allocation, optimise models and execution, analyse large-scale time-series data, and communicate performance and risk to stakeholders while collaborating with execution and infrastructure teams.

Lead design, architecture, and delivery of a cloud-native quantitative investment platform. Build scalable position ledger, portfolio, risk, and data systems; integrate market and broker data; design APIs and data pipelines; apply AI and automation; partner with PMs, researchers, risk, and ops; set engineering standards and drive the Quant Technology roadmap.