Jobs at Jefferies

Design and implement end-of-day market data sourcing, validation, modeling, and delivery for pricing and risk. Build Snowflake data models and ETL/ELT pipelines, integrate AWS SQS for data readiness, optimize performance, ensure data quality and auditability, and collaborate with Market Data and Risk teams.

Lead and coordinate cross-site delivery for front-office equity derivatives technology. Design, implement, unit-test and enhance C#/.NET or Java trading applications, manage release planning, dependencies, RAID, stakeholder communications, and support validation, reconciliations and production issues.

Support UK-listed corporate clients by delivering strategic advice on market positioning, shareholder engagement, and corporate strategy; assist in M&A, restructurings, and equity capital markets transactions; prepare financial models, valuations, investor materials, and shareholder analyses; contribute to business development and sector coverage.

Develop and maintain the global Securities Finance platform (on-prem and AWS). Own projects end-to-end, write unit tests, assist with user testing, and work with support/release teams to deliver robust, high-performance solutions for front and middle office users.

Design, enhance, and maintain Snowflake/AWS-based historical time series infrastructure for market risk. Build Python ETL/ELT pipelines and optimized SQL models, source and validate end-of-day market data, implement data-quality remediation (gap-filling, back-filling, anomaly correction), collaborate with Market Data and Risk teams to ensure auditable, reproducible risk inputs for VaR and regulatory use.

Join Jefferies London M&A team supporting Greek-focused buy- and sell-side deals. Build financial models (DCF, comps, LBO), prepare pitchbooks and IMs, perform company/market research, assist due diligence, and coordinate stakeholders across cross-border transactions. Native Greek and strong English required.

Lead and execute M&A, equity, debt, and advisory transactions for European real estate clients. Manage full deal processes, build financial models and valuations, prepare pitches and market insight, support origination and client relationships, and mentor junior team members across international teams.

Build, optimize, and support a scalable AWS cloud risk platform that computes risk for cash and derivative trades using Snowflake-stored data. Develop Python-based risk engines, improve distributed computation performance, reconcile outputs with legacy systems, troubleshoot pricing/risk issues, collaborate with IT teams, and participate in on-call support.

Join Jefferies London Industrials team to execute M&A, equity and debt transactions. Build and review complex financial models (DCF, LBO, trading/transaction comps, merger models), coordinate due diligence and documentation, prepare marketing and board materials, liaise with advisors, mentor analysts, and support client pitches and sector research for industrial clients across EMEA.

Join Jefferies UK Investment Banking team as an Associate focused on Investment Companies & Funds. Lead transaction execution for M&A, ECM, and fundraising; build complex financial models and valuations (DCF, comps, NAV, SOTP); prepare client materials; coordinate diligence; support origination and client coverage; mentor analysts and collaborate across teams. Requires strong modelling, valuation, and transaction execution experience in financial services or asset management.

Develop and optimize algorithmic trading software in modern C++ with strong focus on performance, memory management, and multi-threading. Prototype and analyze data using Python/Perl/Shell and SQL, apply ML frameworks, and collaborate globally. Recommend optimizations, use performance tools, and support low-latency trading systems.

Support the lead analyst covering Integrated Oil & Gas: maintain and develop Excel-based financial models, forecast commodity prices, contribute thematic and stock-specific research, assist client marketing and corporate access, and support Investment Banking and Corporate Broking colleagues.

Coordinate and deliver learning programs across EMEA, manage logistics, vendors, and learning platforms, collect feedback, maintain training data/reporting, and support L&D projects and stakeholder engagement.

Hands-on engineering leader responsible for designing, building, and operating cloud-native, event-driven platforms and user interfaces. Lead backend microservices (Java/Spring, Python), real-time data pipelines (Kafka), APIs (REST/OpenAPI/GraphQL/gRPC), and frontend components (Angular/React). Own end-to-end delivery, production support, CI/CD, observability, and mentor engineers while partnering with product and business stakeholders.

Join the Industrials equity research team to support the lead analyst with financial modelling, idea generation, written research, presentations, data sourcing, market monitoring, and client interaction, collaborating with Investment Banking and Corporate Broking to grow the franchise.