C++ Engineer - Market Data Technology

C++ Engineer- Market Data Technology

The SPEED Market Data team seeks a software engineer who is excited to architect, design, and implement low latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By building and maintaining this high-performance infrastructure, this developer will help to position MLP as a leader in the field of quantitative trading. You will shape the future of this industry while you work alongside other exceptional programmers and strategists to solve some of the most significant engineering problems in the world.

We are looking for a strong candidate with financial markets technology experience and real-time market data expertise to support globally our real-time (both low latency and non-latency sensitive) market data plant. The successful candidate must be comfortable speaking directly with portfolio managers, traders, c-level management, IT groups and external parties.

Principal Responsibilities

• Collaborating with hardware and software developers across divisions to build realtime market data processing and distribution systems

• Contributing towards the team's technical direction by driving new initiatives

• Developing and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources

• Define processes and standards to be followed globally by the area

• Define, implement, and enforce SLAs, SLOs, policies, metrics and KPIs to proactively monitor the area

• Developing systems, interfaces, and tools to historical market data and trading simulations that increase research productivity

• Designing and implementing a low latency high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges around the world

• Optimizing this platform by using network and systems programming, as well as other advanced techniques to minimize latency

• Helping build and maintain our automated test and benchmark framework, risk-management, performance-tracking, and other tools

• Testing, implementing, and benchmarking different feed handlers (internal and external) on different hardware offerings and settings (e.g. Solarflare, Mellanox NICs, different switches, different compilers and compiler flags, different OS options, etc.)

• Working closely with trading teams to gather requirements and develop solutions in a fast-paced environment

• Working with development and support teams to adapt to exchange technical upgrades

Qualifications/Skills Required

• A degree in computer science or a related field

• A strong background in data structures, algorithms, and object-oriented programming in C++

• Strong template, meta programming, and generic programming knowledge a plus

• Comfortable with new features of modern C++ (C++2x)

• Strong financial experience across multiple asset classes

• Strong understanding of low-latency and real-time system design and implementation

• Strong understanding of multiple trading venue DMA binary protocols and unique behaviors (for both Market Data and Order Entry, with a focus on Market Data)

• Technical background in application development on complex market data systems (i.e.- Bloomberg, Thompson Reuters, etc)

• Extensive experience managing real time market data solutions for a global organization including infrastructure and application development. The ideal candidate will have experience developing proprietary solutions and managing Reuters, Bloomberg, Factset distribution infrastructures both on-prem and cloud

• Good understanding of Linux system internals and networking

• Deep understanding of CPU architecture and the ability to leverage CPU capabilities

• Able to prioritize in a fast moving, high pressure, constantly changing environment; Good sense of urgency and ownership

• Believer and practitioner of extreme leadership and accountability

• Effective communication and relationship management skills (client and vendor): The candidate will be expected to work closely with business and technology users to understand their current and future needs

• Knowledge of any other development language, including Java, Python, or Perl and shell scripts

• Knowledge of cloud computing (AWS, GCP)

• Knowledge of containers (Docker, Podman)