Global Equities Technology - Developer (Vice President)

Company

Jefferies, the global investment banking firm, has served companies and investors for over 50 years. Headquartered in New York with its European head office in London and staff in over 30 global cities, the firm provides clients with capital markets and financial advisory services, institutional brokerage and securities research, and wealth and asset management. Jefferies provides research and execution services in equity, fixed income, foreign exchange, futures and commodities markets, and a full range of investment banking services including underwriting, merger and acquisition, restructuring and recapitalization.

Role Overview

Division: Global Equities Technology

Department: Global Equities Data and Analytics

Our global Equity Technology team is building cutting-edge technology solutions spanning across the full spectrum of equity products globally: Cash, Portfolio trading, Algo trading, Central risk book, listed and OTC derivatives, convertible bond, equity swap, and ETF & basket trading covering multi asset sales & trader order management, quantitative trading, real time position and risk management, AI/ML data analytics, trade lifecycle management, and regulatory & customer reporting.

Our team is global and located in all major trading hubs/cities of the world operating in a 24x7 follow-the-Sun model. London is one of the hubs for our global Equities franchise. You’ll work with teams across New York, Hong Kong, Pune, and other major markets, contributing to systems that run in real time and at global scale.

We're growing fast, breaking into new markets and regions and we're often building new technology platforms from the ground up. We have people from across the business coming to us to build technological solutions to their most mission-critical business challenges with strong exposure to front-office trading workflows, opportunities to own end-to-end components.

We use a spectrum of development frameworks and programming languages including Python, Java, C++, C#, KDB/Q, full stack visualization dashboards implementations with HTML5 & D3 in addition to the cloud on a global scale to provide capacity, performance, and resilience with cutting-edge high-performance messaging & in memory databases. If you are interested in working in a fast-paced environment and want to be in the middle of the action with a talented team of technologists and looking for a path to develop deep expertise in markets, low-latency engineering, and large-scale distributed systems—with clear ownership and impact from day one, our team is the place to be.

Global Equities Data and Analytics Team is looking for a team located in London to be part of the global team managing, developing, and supporting Global Equities Data and Analytics Platform, which provides data and analytics services for over 10 trading desks globally including Cash Equities, Derivatives (Listed and OTC), Electronic trading, Algo trading, Index rebalance strategists, ETFs trading, Delta One, Central Risk Book, SecFin trading, etc.

Global Equities Data and Analytics platform manages multi-asset (e.g. stocks, ETFs, Index, Futures, Options) real-time and historical market data and other vendor data (e.g. Barra, MSCI) globally. It provides services for trading desks to do day-to-day trading, risk management, hedging decisions and AI use cases for real-time trading.

London team will be very important part of our global platform covering EMEA and overlapping with Asia, US time zone from supporting perspective, and managing real-time market data in EMEA region as well as building out EMEA regional specific use cases and requirements. It will be also critical part of supporting EMEA Equities business closely with trading desks in the region. The skills include KDB/Q, Python w (cloud/iceberg/Parquet) etc.

The developer role (VP) will be working very closely with global team in other locations (New York, Hong Kong, Pune, etc), building out EMEA regional specifics, and supporting trading desks and quants in the region.

Proven experience managing large financial databases and datasets consisting of real-time and historical data and excellent communication skills are required, as you’ll be in a fast-paced environment working hands-on closely with other developers, QA and production support teams.

The successful candidate will be expected to create innovative analytics solutions that advance the business; and will be improving the design, analytics, development, coding, testing and application programming that goes into creating high-quality software and new products.

Principal Responsibilities

• Managing real-time market data in the region and building out EMEA regional specific use cases and requirements.
• Supporting Global Data & Analytics platform including real-time and historical data
• Working with and supporting trading desks and quants in the region
• Implement functionality based on defined API
• Use and implement library-grade software
• Ensure clean and efficient coding practices and adherence to industry best practices
• Collaborate with other developers to implement efficient and robust solutions
• Writing documentation

Technical Qualifications

• 6+ years working with large financial data sets, such as market data, order/execution data, and/or positions data
• 6+ years of Kdb+/Q, experience working in a Unix/Linux environment
• Superb communication and interpersonal skills; Confident in communicating with developers, QA, and production support team. Confident communication with global team including traders / quant in EMEA
• Ability to learn new technologies and business knowledge
• Other language experience required Python w/ (cloud/iceberg/parquet), Java (a plus), Unix/Linux
• Experience of agile methodologies will be an advantage

Highly Valued

• Capital markets experience, e.g. Derivs, Stocks, index, ETFs trading
• Proven delivery track record, Cloud experience (e.g. AWS) is preferred
• Good team player with a strong desire to participate and help others
• Able to bring critical thinking and new ideas to the team
• Demonstrates thoroughness and strong ownership of work
• #LI-JD1